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Systematic Review | Definition, Example, & Guide

Systematic Review | Definition, Example & Guide

Published on June 15, 2022 by Shaun Turney . Revised on November 20, 2023.

A systematic review is a type of review that uses repeatable methods to find, select, and synthesize all available evidence. It answers a clearly formulated research question and explicitly states the methods used to arrive at the answer.

They answered the question “What is the effectiveness of probiotics in reducing eczema symptoms and improving quality of life in patients with eczema?”

In this context, a probiotic is a health product that contains live microorganisms and is taken by mouth. Eczema is a common skin condition that causes red, itchy skin.

What is a systematic review, systematic review vs. meta-analysis, systematic review vs. literature review, systematic review vs. scoping review, when to conduct a systematic review, pros and cons of systematic reviews, step-by-step example of a systematic review, other interesting articles, frequently asked questions about systematic reviews.

A review is an overview of the research that’s already been completed on a topic.

What makes a systematic review different from other types of reviews is that the research methods are designed to reduce bias . The methods are repeatable, and the approach is formal and systematic:

Formulate a research question
Develop a protocol
Search for all relevant studies
Apply the selection criteria
Extract the data
Synthesize the data
Write and publish a report

Although multiple sets of guidelines exist, the Cochrane Handbook for Systematic Reviews is among the most widely used. It provides detailed guidelines on how to complete each step of the systematic review process.

Systematic reviews are most commonly used in medical and public health research, but they can also be found in other disciplines.

Systematic reviews typically answer their research question by synthesizing all available evidence and evaluating the quality of the evidence. Synthesizing means bringing together different information to tell a single, cohesive story. The synthesis can be narrative ( qualitative ), quantitative , or both.

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Systematic reviews often quantitatively synthesize the evidence using a meta-analysis . A meta-analysis is a statistical analysis, not a type of review.

A meta-analysis is a technique to synthesize results from multiple studies. It’s a statistical analysis that combines the results of two or more studies, usually to estimate an effect size .

A literature review is a type of review that uses a less systematic and formal approach than a systematic review. Typically, an expert in a topic will qualitatively summarize and evaluate previous work, without using a formal, explicit method.

Although literature reviews are often less time-consuming and can be insightful or helpful, they have a higher risk of bias and are less transparent than systematic reviews.

Similar to a systematic review, a scoping review is a type of review that tries to minimize bias by using transparent and repeatable methods.

However, a scoping review isn’t a type of systematic review. The most important difference is the goal: rather than answering a specific question, a scoping review explores a topic. The researcher tries to identify the main concepts, theories, and evidence, as well as gaps in the current research.

Sometimes scoping reviews are an exploratory preparation step for a systematic review, and sometimes they are a standalone project.

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A systematic review is a good choice of review if you want to answer a question about the effectiveness of an intervention , such as a medical treatment.

To conduct a systematic review, you’ll need the following:

A precise question , usually about the effectiveness of an intervention. The question needs to be about a topic that’s previously been studied by multiple researchers. If there’s no previous research, there’s nothing to review.
If you’re doing a systematic review on your own (e.g., for a research paper or thesis ), you should take appropriate measures to ensure the validity and reliability of your research.
Access to databases and journal archives. Often, your educational institution provides you with access.
Time. A professional systematic review is a time-consuming process: it will take the lead author about six months of full-time work. If you’re a student, you should narrow the scope of your systematic review and stick to a tight schedule.
Bibliographic, word-processing, spreadsheet, and statistical software . For example, you could use EndNote, Microsoft Word, Excel, and SPSS.

A systematic review has many pros .

They minimize research bias by considering all available evidence and evaluating each study for bias.
Their methods are transparent , so they can be scrutinized by others.
They’re thorough : they summarize all available evidence.
They can be replicated and updated by others.

Systematic reviews also have a few cons .

They’re time-consuming .
They’re narrow in scope : they only answer the precise research question.

The 7 steps for conducting a systematic review are explained with an example.

Step 1: Formulate a research question

Formulating the research question is probably the most important step of a systematic review. A clear research question will:

Allow you to more effectively communicate your research to other researchers and practitioners
Guide your decisions as you plan and conduct your systematic review

A good research question for a systematic review has four components, which you can remember with the acronym PICO :

Population(s) or problem(s)
Intervention(s)
Comparison(s)

You can rearrange these four components to write your research question:

What is the effectiveness of I versus C for O in P ?

Sometimes, you may want to include a fifth component, the type of study design . In this case, the acronym is PICOT .

Type of study design(s)
The population of patients with eczema
The intervention of probiotics
In comparison to no treatment, placebo , or non-probiotic treatment
The outcome of changes in participant-, parent-, and doctor-rated symptoms of eczema and quality of life
Randomized control trials, a type of study design

Their research question was:

What is the effectiveness of probiotics versus no treatment, a placebo, or a non-probiotic treatment for reducing eczema symptoms and improving quality of life in patients with eczema?

Step 2: Develop a protocol

A protocol is a document that contains your research plan for the systematic review. This is an important step because having a plan allows you to work more efficiently and reduces bias.

Your protocol should include the following components:

Background information : Provide the context of the research question, including why it’s important.
Research objective (s) : Rephrase your research question as an objective.
Selection criteria: State how you’ll decide which studies to include or exclude from your review.
Search strategy: Discuss your plan for finding studies.
Analysis: Explain what information you’ll collect from the studies and how you’ll synthesize the data.

If you’re a professional seeking to publish your review, it’s a good idea to bring together an advisory committee . This is a group of about six people who have experience in the topic you’re researching. They can help you make decisions about your protocol.

It’s highly recommended to register your protocol. Registering your protocol means submitting it to a database such as PROSPERO or ClinicalTrials.gov .

Step 3: Search for all relevant studies

Searching for relevant studies is the most time-consuming step of a systematic review.

To reduce bias, it’s important to search for relevant studies very thoroughly. Your strategy will depend on your field and your research question, but sources generally fall into these four categories:

Databases: Search multiple databases of peer-reviewed literature, such as PubMed or Scopus . Think carefully about how to phrase your search terms and include multiple synonyms of each word. Use Boolean operators if relevant.
Handsearching: In addition to searching the primary sources using databases, you’ll also need to search manually. One strategy is to scan relevant journals or conference proceedings. Another strategy is to scan the reference lists of relevant studies.
Gray literature: Gray literature includes documents produced by governments, universities, and other institutions that aren’t published by traditional publishers. Graduate student theses are an important type of gray literature, which you can search using the Networked Digital Library of Theses and Dissertations (NDLTD) . In medicine, clinical trial registries are another important type of gray literature.
Experts: Contact experts in the field to ask if they have unpublished studies that should be included in your review.

At this stage of your review, you won’t read the articles yet. Simply save any potentially relevant citations using bibliographic software, such as Scribbr’s APA or MLA Generator .

Databases: EMBASE, PsycINFO, AMED, LILACS, and ISI Web of Science
Handsearch: Conference proceedings and reference lists of articles
Gray literature: The Cochrane Library, the metaRegister of Controlled Trials, and the Ongoing Skin Trials Register
Experts: Authors of unpublished registered trials, pharmaceutical companies, and manufacturers of probiotics

Step 4: Apply the selection criteria

Applying the selection criteria is a three-person job. Two of you will independently read the studies and decide which to include in your review based on the selection criteria you established in your protocol . The third person’s job is to break any ties.

To increase inter-rater reliability , ensure that everyone thoroughly understands the selection criteria before you begin.

If you’re writing a systematic review as a student for an assignment, you might not have a team. In this case, you’ll have to apply the selection criteria on your own; you can mention this as a limitation in your paper’s discussion.

You should apply the selection criteria in two phases:

Based on the titles and abstracts : Decide whether each article potentially meets the selection criteria based on the information provided in the abstracts.
Based on the full texts: Download the articles that weren’t excluded during the first phase. If an article isn’t available online or through your library, you may need to contact the authors to ask for a copy. Read the articles and decide which articles meet the selection criteria.

It’s very important to keep a meticulous record of why you included or excluded each article. When the selection process is complete, you can summarize what you did using a PRISMA flow diagram .

Next, Boyle and colleagues found the full texts for each of the remaining studies. Boyle and Tang read through the articles to decide if any more studies needed to be excluded based on the selection criteria.

When Boyle and Tang disagreed about whether a study should be excluded, they discussed it with Varigos until the three researchers came to an agreement.

Step 5: Extract the data

Extracting the data means collecting information from the selected studies in a systematic way. There are two types of information you need to collect from each study:

Information about the study’s methods and results . The exact information will depend on your research question, but it might include the year, study design , sample size, context, research findings , and conclusions. If any data are missing, you’ll need to contact the study’s authors.
Your judgment of the quality of the evidence, including risk of bias .

You should collect this information using forms. You can find sample forms in The Registry of Methods and Tools for Evidence-Informed Decision Making and the Grading of Recommendations, Assessment, Development and Evaluations Working Group .

Extracting the data is also a three-person job. Two people should do this step independently, and the third person will resolve any disagreements.

They also collected data about possible sources of bias, such as how the study participants were randomized into the control and treatment groups.

Step 6: Synthesize the data

Synthesizing the data means bringing together the information you collected into a single, cohesive story. There are two main approaches to synthesizing the data:

Narrative ( qualitative ): Summarize the information in words. You’ll need to discuss the studies and assess their overall quality.
Quantitative : Use statistical methods to summarize and compare data from different studies. The most common quantitative approach is a meta-analysis , which allows you to combine results from multiple studies into a summary result.

Generally, you should use both approaches together whenever possible. If you don’t have enough data, or the data from different studies aren’t comparable, then you can take just a narrative approach. However, you should justify why a quantitative approach wasn’t possible.

Boyle and colleagues also divided the studies into subgroups, such as studies about babies, children, and adults, and analyzed the effect sizes within each group.

Step 7: Write and publish a report

The purpose of writing a systematic review article is to share the answer to your research question and explain how you arrived at this answer.

Your article should include the following sections:

Abstract : A summary of the review
Introduction : Including the rationale and objectives
Methods : Including the selection criteria, search method, data extraction method, and synthesis method
Results : Including results of the search and selection process, study characteristics, risk of bias in the studies, and synthesis results
Discussion : Including interpretation of the results and limitations of the review
Conclusion : The answer to your research question and implications for practice, policy, or research

To verify that your report includes everything it needs, you can use the PRISMA checklist .

Once your report is written, you can publish it in a systematic review database, such as the Cochrane Database of Systematic Reviews , and/or in a peer-reviewed journal.

In their report, Boyle and colleagues concluded that probiotics cannot be recommended for reducing eczema symptoms or improving quality of life in patients with eczema. Note Generative AI tools like ChatGPT can be useful at various stages of the writing and research process and can help you to write your systematic review. However, we strongly advise against trying to pass AI-generated text off as your own work.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

Student’s t -distribution
Normal distribution
Null and Alternative Hypotheses
Chi square tests
Confidence interval
Quartiles & Quantiles
Cluster sampling
Stratified sampling
Data cleansing
Reproducibility vs Replicability
Peer review
Prospective cohort study

Research bias

Implicit bias
Cognitive bias
Placebo effect
Hawthorne effect
Hindsight bias
Affect heuristic
Social desirability bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .

An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

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Turney, S. (2023, November 20). Systematic Review | Definition, Example & Guide. Scribbr. Retrieved September 3, 2024, from https://www.scribbr.com/methodology/systematic-review/

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Knowledge Base
Methodology
Systematic Review | Definition, Examples & Guide

Systematic Review | Definition, Examples & Guide

Published on 15 June 2022 by Shaun Turney . Revised on 18 July 2024.

A systematic review is a type of review that uses repeatable methods to find, select, and synthesise all available evidence. It answers a clearly formulated research question and explicitly states the methods used to arrive at the answer.

They answered the question ‘What is the effectiveness of probiotics in reducing eczema symptoms and improving quality of life in patients with eczema?’

In this context, a probiotic is a health product that contains live microorganisms and is taken by mouth. Eczema is a common skin condition that causes red, itchy skin.

What is a systematic review, systematic review vs meta-analysis, systematic review vs literature review, systematic review vs scoping review, when to conduct a systematic review, pros and cons of systematic reviews, step-by-step example of a systematic review, frequently asked questions about systematic reviews.

A review is an overview of the research that’s already been completed on a topic.

What makes a systematic review different from other types of reviews is that the research methods are designed to reduce research bias . The methods are repeatable , and the approach is formal and systematic:

Formulate a research question
Develop a protocol
Search for all relevant studies
Apply the selection criteria
Extract the data
Synthesise the data
Write and publish a report

Systematic reviews are most commonly used in medical and public health research, but they can also be found in other disciplines.

Systematic reviews typically answer their research question by synthesising all available evidence and evaluating the quality of the evidence. Synthesising means bringing together different information to tell a single, cohesive story. The synthesis can be narrative ( qualitative ), quantitative , or both.

Prevent plagiarism, run a free check.

Systematic reviews often quantitatively synthesise the evidence using a meta-analysis . A meta-analysis is a statistical analysis, not a type of review.

A meta-analysis is a technique to synthesise results from multiple studies. It’s a statistical analysis that combines the results of two or more studies, usually to estimate an effect size .

A literature review is a type of review that uses a less systematic and formal approach than a systematic review. Typically, an expert in a topic will qualitatively summarise and evaluate previous work, without using a formal, explicit method.

Although literature reviews are often less time-consuming and can be insightful or helpful, they have a higher risk of bias and are less transparent than systematic reviews.

Similar to a systematic review, a scoping review is a type of review that tries to minimise bias by using transparent and repeatable methods.

Sometimes scoping reviews are an exploratory preparation step for a systematic review, and sometimes they are a standalone project.

A systematic review is a good choice of review if you want to answer a question about the effectiveness of an intervention , such as a medical treatment.

To conduct a systematic review, you’ll need the following:

A precise question , usually about the effectiveness of an intervention. The question needs to be about a topic that’s previously been studied by multiple researchers. If there’s no previous research, there’s nothing to review.
If you’re doing a systematic review on your own (e.g., for a research paper or thesis), you should take appropriate measures to ensure the validity and reliability of your research.
Access to databases and journal archives. Often, your educational institution provides you with access.
Time. A professional systematic review is a time-consuming process: it will take the lead author about six months of full-time work. If you’re a student, you should narrow the scope of your systematic review and stick to a tight schedule.
Bibliographic, word-processing, spreadsheet, and statistical software . For example, you could use EndNote, Microsoft Word, Excel, and SPSS.

A systematic review has many pros .

They minimise research b ias by considering all available evidence and evaluating each study for bias.
Their methods are transparent , so they can be scrutinised by others.
They’re thorough : they summarise all available evidence.
They can be replicated and updated by others.

Systematic reviews also have a few cons .

They’re time-consuming .
They’re narrow in scope : they only answer the precise research question.

The 7 steps for conducting a systematic review are explained with an example.

Step 1: Formulate a research question

Formulating the research question is probably the most important step of a systematic review. A clear research question will:

Allow you to more effectively communicate your research to other researchers and practitioners
Guide your decisions as you plan and conduct your systematic review

A good research question for a systematic review has four components, which you can remember with the acronym PICO :

Population(s) or problem(s)
Intervention(s)
Comparison(s)

You can rearrange these four components to write your research question:

What is the effectiveness of I versus C for O in P ?

Sometimes, you may want to include a fourth component, the type of study design . In this case, the acronym is PICOT .

Type of study design(s)
The population of patients with eczema
The intervention of probiotics
In comparison to no treatment, placebo , or non-probiotic treatment
The outcome of changes in participant-, parent-, and doctor-rated symptoms of eczema and quality of life
Randomised control trials, a type of study design

Their research question was:

What is the effectiveness of probiotics versus no treatment, a placebo, or a non-probiotic treatment for reducing eczema symptoms and improving quality of life in patients with eczema?

Step 2: Develop a protocol

A protocol is a document that contains your research plan for the systematic review. This is an important step because having a plan allows you to work more efficiently and reduces bias.

Your protocol should include the following components:

Background information : Provide the context of the research question, including why it’s important.
Research objective(s) : Rephrase your research question as an objective.
Selection criteria: State how you’ll decide which studies to include or exclude from your review.
Search strategy: Discuss your plan for finding studies.
Analysis: Explain what information you’ll collect from the studies and how you’ll synthesise the data.

It’s highly recommended to register your protocol. Registering your protocol means submitting it to a database such as PROSPERO or ClinicalTrials.gov .

Step 3: Search for all relevant studies

Searching for relevant studies is the most time-consuming step of a systematic review.

Databases: Search multiple databases of peer-reviewed literature, such as PubMed or Scopus . Think carefully about how to phrase your search terms and include multiple synonyms of each word. Use Boolean operators if relevant.
Handsearching: In addition to searching the primary sources using databases, you’ll also need to search manually. One strategy is to scan relevant journals or conference proceedings. Another strategy is to scan the reference lists of relevant studies.
Grey literature: Grey literature includes documents produced by governments, universities, and other institutions that aren’t published by traditional publishers. Graduate student theses are an important type of grey literature, which you can search using the Networked Digital Library of Theses and Dissertations (NDLTD) . In medicine, clinical trial registries are another important type of grey literature.
Experts: Contact experts in the field to ask if they have unpublished studies that should be included in your review.

At this stage of your review, you won’t read the articles yet. Simply save any potentially relevant citations using bibliographic software, such as Scribbr’s APA or MLA Generator .

Databases: EMBASE, PsycINFO, AMED, LILACS, and ISI Web of Science
Handsearch: Conference proceedings and reference lists of articles
Grey literature: The Cochrane Library, the metaRegister of Controlled Trials, and the Ongoing Skin Trials Register
Experts: Authors of unpublished registered trials, pharmaceutical companies, and manufacturers of probiotics

Step 4: Apply the selection criteria

To increase inter-rater reliability , ensure that everyone thoroughly understands the selection criteria before you begin.

You should apply the selection criteria in two phases:

Based on the titles and abstracts : Decide whether each article potentially meets the selection criteria based on the information provided in the abstracts.
Based on the full texts: Download the articles that weren’t excluded during the first phase. If an article isn’t available online or through your library, you may need to contact the authors to ask for a copy. Read the articles and decide which articles meet the selection criteria.

It’s very important to keep a meticulous record of why you included or excluded each article. When the selection process is complete, you can summarise what you did using a PRISMA flow diagram .

When Boyle and Tang disagreed about whether a study should be excluded, they discussed it with Varigos until the three researchers came to an agreement.

Step 5: Extract the data

Extracting the data means collecting information from the selected studies in a systematic way. There are two types of information you need to collect from each study:

Information about the study’s methods and results . The exact information will depend on your research question, but it might include the year, study design , sample size, context, research findings , and conclusions. If any data are missing, you’ll need to contact the study’s authors.
Your judgement of the quality of the evidence, including risk of bias .

Extracting the data is also a three-person job. Two people should do this step independently, and the third person will resolve any disagreements.

They also collected data about possible sources of bias, such as how the study participants were randomised into the control and treatment groups.

Step 6: Synthesise the data

Synthesising the data means bringing together the information you collected into a single, cohesive story. There are two main approaches to synthesising the data:

Narrative ( qualitative ): Summarise the information in words. You’ll need to discuss the studies and assess their overall quality.
Quantitative : Use statistical methods to summarise and compare data from different studies. The most common quantitative approach is a meta-analysis , which allows you to combine results from multiple studies into a summary result.

Boyle and colleagues also divided the studies into subgroups, such as studies about babies, children, and adults, and analysed the effect sizes within each group.

Step 7: Write and publish a report

The purpose of writing a systematic review article is to share the answer to your research question and explain how you arrived at this answer.

Your article should include the following sections:

Abstract : A summary of the review
Introduction : Including the rationale and objectives
Methods : Including the selection criteria, search method, data extraction method, and synthesis method
Results : Including results of the search and selection process, study characteristics, risk of bias in the studies, and synthesis results
Discussion : Including interpretation of the results and limitations of the review
Conclusion : The answer to your research question and implications for practice, policy, or research

To verify that your report includes everything it needs, you can use the PRISMA checklist .

Once your report is written, you can publish it in a systematic review database, such as the Cochrane Database of Systematic Reviews , and/or in a peer-reviewed journal.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

There are several reasons to conduct a literature review at the beginning of a research project:

To familiarise yourself with the current state of knowledge on your topic
To ensure that you’re not just repeating what others have already done
To identify gaps in knowledge and unresolved problems that your research can address
To develop your theoretical framework and methodology
To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

Turney, S. (2024, July 17). Systematic Review | Definition, Examples & Guide. Scribbr. Retrieved 3 September 2024, from https://www.scribbr.co.uk/research-methods/systematic-reviews/

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Shaun Turney

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Introduction to Systematic Reviews

Reference work entry
First Online: 20 July 2022
pp 2159–2177
Cite this reference work entry

Tianjing Li 3 ,
Ian J. Saldanha 4 &
Karen A. Robinson 5

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1 Citations

A systematic review identifies and synthesizes all relevant studies that fit prespecified criteria to answer a research question. Systematic review methods can be used to answer many types of research questions. The type of question most relevant to trialists is the effects of treatments and is thus the focus of this chapter. We discuss the motivation for and importance of performing systematic reviews and their relevance to trialists. We introduce the key steps in completing a systematic review, including framing the question, searching for and selecting studies, collecting data, assessing risk of bias in included studies, conducting a qualitative synthesis and a quantitative synthesis (i.e., meta-analysis), grading the certainty of evidence, and writing the systematic review report. We also describe how to identify systematic reviews and how to assess their methodological rigor. We discuss the challenges and criticisms of systematic reviews, and how technology and innovations, combined with a closer partnership between trialists and systematic reviewers, can help identify effective and safe evidence-based practices more quickly.

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What Is the Difference Between a Systematic Review and a Meta-analysis?

Systematic Reviewing

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Li, T., Saldanha, I.J., Robinson, K.A. (2022). Introduction to Systematic Reviews. In: Piantadosi, S., Meinert, C.L. (eds) Principles and Practice of Clinical Trials. Springer, Cham. https://doi.org/10.1007/978-3-319-52636-2_194

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Annual Review of Psychology

Volume 70, 2019, review article, how to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses.

Andy P. Siddaway 1 , Alex M. Wood 2 , and Larry V. Hedges 3
View Affiliations Hide Affiliations Affiliations: 1 Behavioural Science Centre, Stirling Management School, University of Stirling, Stirling FK9 4LA, United Kingdom; email: [email protected] 2 Department of Psychological and Behavioural Science, London School of Economics and Political Science, London WC2A 2AE, United Kingdom 3 Department of Statistics, Northwestern University, Evanston, Illinois 60208, USA; email: [email protected]
Vol. 70:747-770 (Volume publication date January 2019) https://doi.org/10.1146/annurev-psych-010418-102803
First published as a Review in Advance on August 08, 2018
Copyright © 2019 by Annual Reviews. All rights reserved

Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question. The best reviews synthesize studies to draw broad theoretical conclusions about what a literature means, linking theory to evidence and evidence to theory. This guide describes how to plan, conduct, organize, and present a systematic review of quantitative (meta-analysis) or qualitative (narrative review, meta-synthesis) information. We outline core standards and principles and describe commonly encountered problems. Although this guide targets psychological scientists, its high level of abstraction makes it potentially relevant to any subject area or discipline. We argue that systematic reviews are a key methodology for clarifying whether and how research findings replicate and for explaining possible inconsistencies, and we call for researchers to conduct systematic reviews to help elucidate whether there is a replication crisis.

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Article Type: Review Article

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Easy guide to conducting a systematic review

Affiliations.

1 Discipline of Child and Adolescent Health, University of Sydney, Sydney, New South Wales, Australia.
2 Department of Nephrology, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
3 Education Department, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
PMID: 32364273
DOI: 10.1111/jpc.14853

A systematic review is a type of study that synthesises research that has been conducted on a particular topic. Systematic reviews are considered to provide the highest level of evidence on the hierarchy of evidence pyramid. Systematic reviews are conducted following rigorous research methodology. To minimise bias, systematic reviews utilise a predefined search strategy to identify and appraise all available published literature on a specific topic. The meticulous nature of the systematic review research methodology differentiates a systematic review from a narrative review (literature review or authoritative review). This paper provides a brief step by step summary of how to conduct a systematic review, which may be of interest for clinicians and researchers.

Keywords: research; research design; systematic review.

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Introduction to Systematic Reviews

In this guide.

Introduction
Types of Reviews
Systematic Review Process
Protocols & Guidelines
Data Extraction and Screening
Resources & Tools

What is a Systematic Review?

Knowledge synthesis is a term used to describe the method of synthesizing results from individual studies and interpreting these results within the larger body of knowledge on the topic. It requires highly structured, transparent and reproducible methods using quantitative and/or qualitative evidence. Systematic reviews, meta-analyses, scoping reviews, rapid reviews, narrative syntheses, practice guidelines, among others, are all forms of knowledge syntheses. For more information on types of reviews, visit the "Types of Reviews" tab on the left.

A systematic review varies from an ordinary literature review in that it uses a comprehensive, methodical, transparent and reproducible search strategy to ensure conclusions are as unbiased and closer to the truth as possible. The Cochrane Handbook for Systematic Reviews of Interventions defines a systematic review as:

"A systematic review attempts to identify, appraise and synthesize all the empirical evidence that meets pre-specified eligibility criteria to answer a given research question. Researchers conducting systematic reviews use explicit methods aimed at minimizing bias, in order to produce more reliable findings that can be used to inform decision making [...] This involves: the a priori specification of a research question; clarity on the scope of the review and which studies are eligible for inclusion; making every effort to find all relevant research and to ensure that issues of bias in included studies are accounted for; and analysing the included studies in order to draw conclusions based on all the identified research in an impartial and objective way." ( Chapter 1: Starting a review )

What are systematic reviews? from Cochrane on Youtube .

Next: Types of Reviews >>
Last Updated: Jul 31, 2024 1:44 PM
URL: https://laneguides.stanford.edu/systematicreviews

Systematic Reviews

What is a systematic review, sr workflow visualization, want to learn more.

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A systematic review is a comprehensive review of the literature conducted by a research team using systematic and transparent methods in accordance with reporting guidelines to answer a well-defined research question. It aims to identify and synthesize scholarly research published in commercial and/or academic sources as well as in grey (or gray) literature produced by individuals or organizations in order to reduce bias and provide all available evidence for informing practice and policy-making. Systematic reviews may also include a meta-analysis, a more quantitative process of synthesizing and visualizing data retrieved from various studies.

Systematic Review Workflow This image provides a snapshot of the process involved in a systematic review.

Tsafnat, G., Glasziou, P., Choong, M.K. et al. Systematic review automation technologies . Syst Rev 3, 74 (2014). https://doi.org/10.1186/2046-4053-3-74

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1. Have you read through the other parts of this guide, but feel you just want to talk to someone about your ideas and this process? Please contact the Research Impact Team to set up a general consultation.

2. If you have a research plan developed already and you would like to include a librarian on your team, review the "Talk with a Librarian" tab and submit a proposal as directed.

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Systematic Reviews

What is a Systematic Review?

A systematic review is an evidence synthesis that uses explicit, reproducible methods to perform a comprehensive literature search and critical appraisal of individual studies and that uses appropriate statistical techniques to combine these valid studies.

Key Characteristics of a Systematic Review:

Generally, systematic reviews must have:

a clearly stated set of objectives with pre-defined eligibility criteria for studies
an explicit, reproducible methodology
a systematic search that attempts to identify all studies that would meet the eligibility criteria
an assessment of the validity of the findings of the included studies, for example through the assessment of the risk of bias
a systematic presentation, and synthesis, of the characteristics and findings of the included studies.

A meta-analysis is a systematic review that uses quantitative methods to synthesize and summarize the pooled data from included studies.

Additional Information

How-to Books
Beyond Health Sciences

Cochrane Handbook For Systematic Reviews of Interventions Provides guidance to authors for the preparation of Cochrane Intervention reviews. Chapter 6 covers searching for reviews.
Systematic Reviews: CRD’s Guidance for Undertaking Reviews in Health Care From The University of York Centre for Reviews and Dissemination: Provides practical guidance for undertaking evidence synthesis based on a thorough understanding of systematic review methodology. It presents the core principles of systematic reviewing, and in complementary chapters, highlights issues that are specific to reviews of clinical tests, public health interventions, adverse effects, and economic evaluations.
Cornell, Sytematic Reviews and Evidence Synthesis Beyond the Health Sciences Video series geared for librarians but very informative about searching outside medicine.
<< Previous: Getting Started
Next: Levels of Evidence >>
Getting Started
Levels of Evidence
Locating Systematic Reviews
Searching Systematically
Developing Answerable Questions
Identifying Synonyms & Related Terms
Using Truncation and Wildcards
Identifying Search Limits/Exclusion Criteria
Keyword vs. Subject Searching
Where to Search
Search Filters
Sensitivity vs. Precision
Core Databases
Other Databases
Clinical Trial Registries
Conference Presentations
Databases Indexing Grey Literature
Web Searching
Handsearching
Citation Indexes
Documenting the Search Process
Managing your Review

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What are systematic reviews?

Watch this video from Cochrane Consumers and Communication to learn what systematic reviews are, how researchers prepare them, and why they’re an important part of making informed decisions about health - for everyone.

Cochrane evidence, including our systematic reviews, provides a powerful tool to enhance your healthcare knowledge and decision making. This video from Cochrane Sweden explains a bit about how we create health evidence and what Cochrane does.

Search our Plain Language Summaries of health evidence
Learn more about Cochrane and our work

Systematic Review

Library Help
What is a Systematic Review (SR)?
Steps of a Systematic Review
Framing a Research Question
Developing a Search Strategy
Searching the Literature
Managing the Process
Meta-analysis
Publishing your Systematic Review

Introduction to Systematic Review

Introduction
Types of literature reviews
Other Libguides
Systematic review as part of a dissertation
Tutorials & Guidelines & Examples from non-Medical Disciplines

A "high-level overview of primary research on a focused question" utilizing high-quality research evidence through:

Source: Kysh, Lynn (2013): Difference between a systematic review and a literature review. [figshare]. Available at:

Depending on your learning style, please explore the resources in various formats on the tabs above.

For additional tutorials, visit the SR Workshop Videos from UNC at Chapel Hill outlining each stage of the systematic review process.

Know the difference! Systematic review vs. literature review

It is common to confuse systematic and literature reviews as both are used to provide a summary of the existent literature or research on a specific topic. Even with this common ground, both types vary significantly. Please review the following chart (and its corresponding poster linked below) for a detailed explanation of each as well as the differences between each type of review.

Source: Kysh, L. (2013). What’s in a name? The difference between a systematic review and a literature review and why it matters. [Poster] Retrieved from .

Check the website from UNC at Chapel Hill,

Types of literature reviews along with associated methodologies

JBI Manual for Evidence Synthesis . Find definitions and methodological guidance.

- Systematic Reviews - Chapters 1-7

- Mixed Methods Systematic Reviews - Chapter 8

- Diagnostic Test Accuracy Systematic Reviews - Chapter 9

- Umbrella Reviews - Chapter 10

- Scoping Reviews - Chapter 11

- Systematic Reviews of Measurement Properties - Chapter 12

Systematic reviews vs scoping reviews -

Grant, M. J., & Booth, A. (2009). A typology of reviews: an analysis of 14 review types and associated methodologies. Health Information and Libraries Journal , 26 (2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x

Gough, D., Thomas, J., & Oliver, S. (2012). Clarifying differences between review designs and methods. Systematic Reviews, 1 (28). htt p s://doi.org/ 10.1186/2046-4053-1-28

Munn, Z., Peters, M., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review ? Guidance for authors when choosing between a systematic or scoping review approach. BMC medical research methodology, 18 (1), 143. https://doi.org/10.1186/s12874-018-0611-x. Also, check out the Libguide from Weill Cornell Medicine for the differences between a systematic review and a scoping review and when to embark on either one of them.

Sutton, A., Clowes, M., Preston, L., & Booth, A. (2019). Meeting the review family: Exploring review types and associated information retrieval requirements . Health Information & Libraries Journal , 36 (3), 202–222. https://doi.org/10.1111/hir.12276

Temple University. Review Types . - This guide provides useful descriptions of some of the types of reviews listed in the above article.

UMD Health Sciences and Human Services Library. Review Types . - Guide describing Literature Reviews, Scoping Reviews, and Rapid Reviews.

Whittemore, R., Chao, A., Jang, M., Minges, K. E., & Park, C. (2014). Methods for knowledge synthesis: An overview. Heart & Lung: The Journal of Acute and Critical Care, 43 (5), 453–461. https://doi.org/10.1016/j.hrtlng.2014.05.014

Differences between a systematic review and other types of reviews

Armstrong, R., Hall, B. J., Doyle, J., & Waters, E. (2011). ‘ Scoping the scope ’ of a cochrane review. Journal of Public Health , 33 (1), 147–150. https://doi.org/10.1093/pubmed/fdr015

Kowalczyk, N., & Truluck, C. (2013). Literature reviews and systematic reviews: What is the difference? Radiologic Technology , 85 (2), 219–222.

White, H., Albers, B., Gaarder, M., Kornør, H., Littell, J., Marshall, Z., Matthew, C., Pigott, T., Snilstveit, B., Waddington, H., & Welch, V. (2020). Guidance for producing a Campbell evidence and gap map . Campbell Systematic Reviews, 16 (4), e1125. https://doi.org/10.1002/cl2.1125. Check also this comparison between evidence and gaps maps and systematic reviews.

Rapid Reviews Tutorials

Rapid Review Guidebook by the National Collaborating Centre of Methods and Tools (NCCMT)

Hamel, C., Michaud, A., Thuku, M., Skidmore, B., Stevens, A., Nussbaumer-Streit, B., & Garritty, C. (2021). Defining Rapid Reviews: a systematic scoping review and thematic analysis of definitions and defining characteristics of rapid reviews. Journal of clinical epidemiology , 129 , 74–85. https://doi.org/10.1016/j.jclinepi.2020.09.041

Image: by WeeblyTutorials

under the tab on the left side menu.

Müller, C., Lautenschläger, S., Meyer, G., & Stephan, A. (2017). Interventions to support people with dementia and their caregivers during the transition from home care to nursing home care: A systematic review . International Journal of Nursing Studies, 71 , 139–152. https://doi.org/10.1016/j.ijnurstu.2017.03.013
Bhui, K. S., Aslam, R. W., Palinski, A., McCabe, R., Johnson, M. R. D., Weich, S., … Szczepura, A. (2015). Interventions to improve therapeutic communications between Black and minority ethnic patients and professionals in psychiatric services: Systematic review . The British Journal of Psychiatry, 207 (2), 95–103. https://doi.org/10.1192/bjp.bp.114.158899
Rosen, L. J., Noach, M. B., Winickoff, J. P., & Hovell, M. F. (2012). Parental smoking cessation to protect young children: A systematic review and meta-analysis . Pediatrics, 129 (1), 141–152. https://doi.org/10.1542/peds.2010-3209

Scoping Review

Hyshka, E., Karekezi, K., Tan, B., Slater, L. G., Jahrig, J., & Wild, T. C. (2017). The role of consumer perspectives in estimating population need for substance use services: A scoping review . BMC Health Services Research, 171-14. https://doi.org/10.1186/s12913-017-2153-z
Olson, K., Hewit, J., Slater, L.G., Chambers, T., Hicks, D., Farmer, A., & ... Kolb, B. (2016). Assessing cognitive function in adults during or following chemotherapy: A scoping review . Supportive Care In Cancer, 24 (7), 3223-3234. https://doi.org/10.1007/s00520-016-3215-1
Pham, M. T., Rajić, A., Greig, J. D., Sargeant, J. M., Papadopoulos, A., & McEwen, S. A. (2014). A scoping review of scoping reviews: Advancing the approach and enhancing the consistency . Research Synthesis Methods, 5 (4), 371–385. https://doi.org/10.1002/jrsm.1123
Scoping Review Tutorial from UNC at Chapel Hill

Qualitative Systematic Review/Meta-Synthesis

Lee, H., Tamminen, K. A., Clark, A. M., Slater, L., Spence, J. C., & Holt, N. L. (2015). A meta-study of qualitative research examining determinants of children's independent active free play . International Journal Of Behavioral Nutrition & Physical Activity, 12 (5), 121-12. https://doi.org/10.1186/s12966-015-0165-9

Videos on systematic reviews


This video lecture explains in detail the steps necessary to conduct a systematic review (44 min.)	Here's a brief introduction to how to evaluate systematic reviews (16 min.)

Systematic Reviews: What are they? Are they right for my research? - 47 min. video recording with a closed caption option.

More training videos on systematic reviews:

from Yale University

(approximately 5-10 minutes each)

with Margaret Foster

(approximately 55 min each)

Books on Systematic Reviews

Books on Meta-analysis

University of Toronto Libraries - very detailed with good tips on the sensitivity and specificity of searches.
Monash University - includes an interactive case study tutorial.
Dalhousie University Libraries - a comprehensive How-To Guide on conducting a systematic review.

Guidelines for a systematic review as part of the dissertation

Guidelines for Systematic Reviews in the Context of Doctoral Education Background by University of Victoria (PDF)
Can I conduct a Systematic Review as my Master’s dissertation or PhD thesis? Yes, It Depends! by Farhad (blog)
What is a Systematic Review Dissertation Like? by the University of Edinburgh (50 min video)

Further readings on experiences of PhD students and doctoral programs with systematic reviews

Puljak, L., & Sapunar, D. (2017). Acceptance of a systematic review as a thesis: Survey of biomedical doctoral programs in Europe . Systematic Reviews , 6 (1), 253. https://doi.org/10.1186/s13643-017-0653-x

Perry, A., & Hammond, N. (2002). Systematic reviews: The experiences of a PhD Student . Psychology Learning & Teaching , 2 (1), 32–35. https://doi.org/10.2304/plat.2002.2.1.32

Daigneault, P.-M., Jacob, S., & Ouimet, M. (2014). Using systematic review methods within a Ph.D. dissertation in political science: Challenges and lessons learned from practice . International Journal of Social Research Methodology , 17 (3), 267–283. https://doi.org/10.1080/13645579.2012.730704

UMD Doctor of Philosophy Degree Policies

Before you embark on a systematic review research project, check the UMD PhD Policies to make sure you are on the right path. Systematic reviews require a team of at least two reviewers and an information specialist or a librarian. Discuss with your advisor the authorship roles of the involved team members. Keep in mind that the UMD Doctor of Philosophy Degree Policies (scroll down to the section, Inclusion of one's own previously published materials in a dissertation ) outline such cases, specifically the following:

" It is recognized that a graduate student may co-author work with faculty members and colleagues that should be included in a dissertation . In such an event, a letter should be sent to the Dean of the Graduate School certifying that the student's examining committee has determined that the student made a substantial contribution to that work. This letter should also note that the inclusion of the work has the approval of the dissertation advisor and the program chair or Graduate Director. The letter should be included with the dissertation at the time of submission. The format of such inclusions must conform to the standard dissertation format. A foreword to the dissertation, as approved by the Dissertation Committee, must state that the student made substantial contributions to the relevant aspects of the jointly authored work included in the dissertation."

by CommLab India

Cochrane Handbook for Systematic Reviews of Interventions - See Part 2: General methods for Cochrane reviews
Systematic Searches - Yale library video tutorial series
Using PubMed's Clinical Queries to Find Systematic Reviews - From the U.S. National Library of Medicine
Systematic reviews and meta-analyses: A step-by-step guide - From the University of Edinsburgh, Centre for Cognitive Ageing and Cognitive Epidemiology

by Vinova

Bioinformatics

Mariano, D. C., Leite, C., Santos, L. H., Rocha, R. E., & de Melo-Minardi, R. C. (2017). A guide to performing systematic literature reviews in bioinformatics . arXiv preprint arXiv:1707.05813.

Environmental Sciences

Collaboration for Environmental Evidence. 2018. Guidelines and Standards for Evidence synthesis in Environmental Management. Version 5.0 (AS Pullin, GK Frampton, B Livoreil & G Petrokofsky, Eds) www.environmentalevidence.org/information-for-authors .

Pullin, A. S., & Stewart, G. B. (2006). Guidelines for systematic review in conservation and environmental management. Conservation Biology, 20 (6), 1647–1656. https://doi.org/10.1111/j.1523-1739.2006.00485.x

Engineering Education

Borrego, M., Foster, M. J., & Froyd, J. E. (2014). Systematic literature reviews in engineering education and other developing interdisciplinary fields. Journal of Engineering Education, 103 (1), 45–76. https://doi.org/10.1002/jee.20038

Public Health

Hannes, K., & Claes, L. (2007). Learn to read and write systematic reviews: The Belgian Campbell Group . Research on Social Work Practice, 17 (6), 748–753. https://doi.org/10.1177/1049731507303106
McLeroy, K. R., Northridge, M. E., Balcazar, H., Greenberg, M. R., & Landers, S. J. (2012). Reporting guidelines and the American Journal of Public Health’s adoption of preferred reporting items for systematic reviews and meta-analyses . American Journal of Public Health, 102 (5), 780–784. https://doi.org/10.2105/AJPH.2011.300630
Pollock, A., & Berge, E. (2018). How to do a systematic review. International Journal of Stroke, 13 (2), 138–156. https://doi.org/10.1177/1747493017743796
Institute of Medicine. (2011). Finding what works in health care: Standards for systematic reviews . https://doi.org/10.17226/13059
Wanden-Berghe, C., & Sanz-Valero, J. (2012). Systematic reviews in nutrition: Standardized methodology . The British Journal of Nutrition, 107 Suppl 2, S3-7. https://doi.org/10.1017/S0007114512001432

Social Sciences

Bronson, D., & Davis, T. (2012). Finding and evaluating evidence: Systematic reviews and evidence-based practice (Pocket guides to social work research methods). Oxford: Oxford University Press.
Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide . Malden, MA: Blackwell Pub.
Cornell University Library Guide - Systematic literature reviews in engineering: Example: Software Engineering
Biolchini, J., Mian, P. G., Natali, A. C. C., & Travassos, G. H. (2005). Systematic review in software engineering . System Engineering and Computer Science Department COPPE/UFRJ, Technical Report ES, 679 (05), 45.
Biolchini, J. C., Mian, P. G., Natali, A. C. C., Conte, T. U., & Travassos, G. H. (2007). Scientific research ontology to support systematic review in software engineering . Advanced Engineering Informatics, 21 (2), 133–151.
Kitchenham, B. (2007). Guidelines for performing systematic literature reviews in software engineering . [Technical Report]. Keele, UK, Keele University, 33(2004), 1-26.
Weidt, F., & Silva, R. (2016). Systematic literature review in computer science: A practical guide . Relatórios Técnicos do DCC/UFJF , 1 .

by Day Translations

Resources for your writing

Academic Phrasebank - Get some inspiration and find some terms and phrases for writing your research paper
Oxford English Dictionary - Use to locate word variants and proper spelling
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Last Updated: Aug 26, 2024 12:37 PM
URL: https://lib.guides.umd.edu/SR

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Systematic Reviews

Describes what is involved with conducting a systematic review of the literature for evidence-based public health and how the librarian is a partner in the process.

Several CDC librarians have special training in conducting literature searches for systematic reviews. Literature searches for systematic reviews can take a few weeks to several months from planning to delivery.

Fill out a search request form here or contact the Stephen B. Thacker CDC Library by email [email protected] or telephone 404-639-1717.

Campbell Collaboration

Cochrane Collaboration

Eppi Centre

Joanna Briggs Institute

McMaster University

PRISMA Statement

Systematic Reviews – CRD’s Guide

Systematic Reviews of Health Promotion and Public Health Interventions

The Guide to Community Preventive Services

Look for systematic reviews that have already been published.

To ensure that the work has not already been done.
To provides examples of search strategies for your topic

Look in PROSPERO for registered systematic reviews.

Search Cochrane and CRD-York for systematic reviews.

Search filter for finding systematic reviews in PubMed

Other search filters to locate systematic reviews

A systematic review attempts to collect and analyze all evidence that answers a specific question. The question must be clearly defined and have inclusion and exclusion criteria. A broad and thorough search of the literature is performed and a critical analysis of the search results is reported and ultimately provides a current evidence-based answer to the specific question.

Time: According to Cochrane , it takes 18 months on average to complete a Systematic Review.

The average systematic review from beginning to end requires 18 months of work. “…to find out about a healthcare intervention it is worth searching research literature thoroughly to see if the answer is already known. This may require considerable work over many months…” ( Cochrane Collaboration )

Review Team: Team Members at minimum…

Content expert
2 reviewers
1 tie breaker
1 statistician (meta-analysis)
1 economist if conducting an economic analysis
*1 librarian (expert searcher) trained in systematic reviews

“Expert searchers are an important part of the systematic review team, crucial throughout the review process-from the development of the proposal and research question to publication.” ( McGowan & Sampson, 2005 )

*Ask your librarian to write a methods section regarding the search methods and to give them co-authorship. You may also want to consider providing a copy of one or all of the search strategies used in an appendix.

The Question to Be Answered: A clearly defined and specific question or questions with inclusion and exclusion criteria.

Written Protocol: Outline the study method, rationale, key questions, inclusion and exclusion criteria, literature searches, data abstraction and data management, analysis of quality of the individual studies, synthesis of data, and grading of the evidience for each key question.

Literature Searches: Search for any systematic reviews that may already answer the key question(s). Next, choose appropriate databases and conduct very broad, comprehensive searches. Search strategies must be documented so that they can be duplicated. The librarian is integral to this step of the process. Before your librarian creates a search strategy and starts searching in earnest you should write a detailed PICO question , determine the inclusion and exclusion criteria for your study, run a preliminary search, and have 2-4 articles that already fit the criteria for your review.

What is searched depends on the topic of the review but should include…

At least 3 standard medical databases like PubMed/Medline, CINAHL, Embase, etc..
At least 2 grey literature resources like Clinicaltrials.gov, COS Conference Papers Index, Grey Literature Report, etc…

Citation Management: EndNote is a bibliographic management tools that assist researchers in managing citations. The Stephen B. Thacker CDC Library oversees the site license for EndNote.

To request installation: The library provides EndNote to CDC staff under a site-wide license. Please use the ITSO Software Request Tool (SRT) and submit a request for the latest version (or upgraded version) of EndNote. Please be sure to include the computer name for the workstation where you would like to have the software installed.

EndNote Training: CDC Library offers training on EndNote on a regular basis – both a basic and advanced course. To view the course descriptions and upcoming training dates, please visit the CDC Library training page .

For assistance with EndNote software, please contact [email protected]

Vendor Support and Services: EndNote – Support and Services (Thomson Reuters) EndNote – Tutorials and Live Online Classes (Thomson Reuters)

Getting Articles:

Articles can be obtained using DocExpress or by searching the electronic journals at the Stephen B. Thacker CDC Library.

IOM Standards for Systematic Reviews: Standard 3.1: Conduct a comprehensive systematic search for evidence

The goal of a systematic review search is to maximize recall and precision while keeping results manageable. Recall (sensitivity) is defined as the number of relevant reports identified divided by the total number of relevant reports in existence. Precision (specificity) is defined as the number of relevant reports identified divided by the total number of reports identified.

Issues to consider when creating a systematic review search:

All concepts are included in the strategy
All appropriate subject headings are used
Appropriate use of explosion
Appropriate use of subheadings and floating subheadings
Use of natural language (text words) in addition to controlled vocabulary terms
Use of appropriate synonyms, acronyms, etc.
Truncation and spelling variation as appropriate
Appropriate use of limits such as language, years, etc.
Field searching, publication type, author, etc.
Boolean operators used appropriately
Line errors: when searches are combined using line numbers, be sure the numbers refer to the searches intended
Check indexing of relevant articles
Search strategy adapted as needed for multiple databases
Cochrane Handbook: Searching for Studies See Part 2, Chapter 6

A step-by-step guide to systematically identify all relevant animal studies

Materials listed in these guides are selected to provide awareness of quality public health literature and resources. A material’s inclusion does not necessarily represent the views of the U.S. Department of Health and Human Services (HHS), the Public Health Service (PHS), or the Centers for Disease Control and Prevention (CDC), nor does it imply endorsement of the material’s methods or findings. HHS, PHS, and CDC assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by HHS, PHS, and CDC. Opinion, findings, and conclusions expressed by the original authors of items included in these materials, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of HHS, PHS, or CDC. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by HHS, PHS, or CDC.

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Article Contents

Assessing the certainty of the evidence in systematic reviews: importance, process, and use.

Article contents
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Supplementary Data

Romina Brignardello-Petersen, Gordon H Guyatt, Assessing the Certainty of the Evidence in Systematic Reviews: Importance, Process, and Use, American Journal of Epidemiology , 2024;, kwae332, https://doi.org/10.1093/aje/kwae332

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When interpreting results and drawing conclusions, authors of systematic reviews should consider the limitations of the evidence included in their review. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach provides a framework for the explicit consideration of the limitations of the evidence included in a systematic review, and for incorporating this assessment into the conclusions. Assessments of certainty of evidence are a methodological expectation of systematic reviews. The certainty of the evidence is specific to each outcome in a systematic review, and can be rated as high, moderate, low, or very low. Because it will have an important impact, before conducting certainty of evidence, reviewers must clarify the intent of their question: are they interested in causation or association. Serious concerns regarding limitations in the study design, inconsistency, imprecision, indirectness, and publication bias can decrease the certainty of the evidence. Using an example, this article describes and illustrates the importance and the steps for assessing the certainty of evidence and drawing accurate conclusions in a systematic review.

publication bias
grade approach

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A systematic review of outcomes of chronic disease self-management interventions

Research output : Contribution to journal › Review Article › Research › peer-review

Purpose: To carry out a systematic review of program outcomes used in the evaluation of group-based self-management interventions aimed at people with arthritis and other chronic conditions. Methods: The systematic search was performed across databases MEDLINE, EMBASE, CINAHL, and PsycINFO. Both between-group and within-group effect sizes (ES) were calculated. Results were interpreted as small (ES ~ 0.2), medium (ES ~ 0.5), or large (ES ~ 0.8) effects. Results: The majority of 18 included trials investigated the effectiveness of arthritis-specific interventions. Across most outcomes, small effects on course participants were shown. While effects on knowledge were large (between-group ES = 0.78), effects on clinical outcomes such as pain (ES = 0.10) were negligible to small. Conclusions: This paper is consistent with other reviews in this area, suggesting that people with arthritis receive only marginal benefits from participating in chronic disease self-management interventions. When looking at the types of outcomes that trials are based on, however, alternative explanations for these results seem probable. As evaluations heavily rely on patient self-report, current approaches to program evaluation may not be sufficient to assess the intended impact of self-management education. An in-depth investigation of the types of outcomes assessed is provided in a separate paper.

Original language	English
Pages (from-to)	1805-1816
Number of pages	12
Journal
Volume	22
Issue number	7
DOIs
Publication status	Published - Sept 2013
Externally published	Yes

Chronic disease
Outcomes assessment
Patient education
Program evaluation
Self-management
Systematic review

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10.1007/s11136-012-0302-8

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Discover Psychology (Jun 2024)

Brain stem death diagnosis: a systematic review of families’ experience

Madiha Shaikh,
Ella Cade-Smith,
Liam Mackay,
Dhuleep Sanjay Wijayatilake,
Marc Kingsley

Affiliations

Read online

Abstract Aim Receiving a diagnosis of brain stem death poses significant challenges for families. While much research focuses on organ donation in the context of brain stem death, there is a notable dearth of studies examining the experiences of families themselves. The aim of this review is to explore the experiences of families facing brain stem death. Design Systematic review. Method A narrative synthesis was conducted, drawing on 11 studies that employed both qualitative and quantitative methodologies. The search encompassed four electronic databases: AHMED (Allied and Complementary Medicine), Emcare (1995-present), MEDLINE (Ovid), and APA PsycInfo (Ovid). Due to the limited research on this topic, no restrictions were placed on the publication dates. Results The synthesis revealed five main themes: The Unexpected Prognosis, Coming to Terms with Brain Stem Death—Grieving Process, Observing Brain Stem Death Testing, The Impact of Staff on Families’ Experience, and The Lasting Impact. Conclusion The review underscores the pervasive lack of understanding among families regarding the diagnosis and process of brain stem death, as well as the short- and long-term distress it can engender. There is a clear imperative to establish national or international protocols for brain stem death, ensuring more effective and consistent support for affected families.

Brain death
Brain stem death
Critical Care
Intensive Care

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Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare

S. gopalakrishnan.

Department of Community Medicine, SRM Medical College, Hospital and Research Centre, Kattankulathur, Tamil Nadu, India

P. Ganeshkumar

Healthcare decisions for individual patients and for public health policies should be informed by the best available research evidence. The practice of evidence-based medicine is the integration of individual clinical expertise with the best available external clinical evidence from systematic research and patient's values and expectations. Primary care physicians need evidence for both clinical practice and for public health decision making. The evidence comes from good reviews which is a state-of-the-art synthesis of current evidence on a given research question. Given the explosion of medical literature, and the fact that time is always scarce, review articles play a vital role in decision making in evidence-based medical practice. Given that most clinicians and public health professionals do not have the time to track down all the original articles, critically read them, and obtain the evidence they need for their questions, systematic reviews and clinical practice guidelines may be their best source of evidence. Systematic reviews aim to identify, evaluate, and summarize the findings of all relevant individual studies over a health-related issue, thereby making the available evidence more accessible to decision makers. The objective of this article is to introduce the primary care physicians about the concept of systematic reviews and meta-analysis, outlining why they are important, describing their methods and terminologies used, and thereby helping them with the skills to recognize and understand a reliable review which will be helpful for their day-to-day clinical practice and research activities.

Introduction

Evidence-based healthcare is the integration of best research evidence with clinical expertise and patient values. Green denotes, “Using evidence from reliable research, to inform healthcare decisions, has the potential to ensure best practice and reduce variations in healthcare delivery.” However, incorporating research into practice is time consuming, and so we need methods of facilitating easy access to evidence for busy clinicians.[ 1 ] Ganeshkumar et al . mentioned that nearly half of the private practitioners in India were consulting more than 4 h per day in a locality,[ 2 ] which explains the difficulty of them in spending time in searching evidence during consultation. Ideally, clinical decision making ought to be based on the latest evidence available. However, to keep abreast with the continuously increasing number of publications in health research, a primary healthcare professional would need to read an insurmountable number of articles every day, covered in more than 13 million references and over 4800 biomedical and health journals in Medline alone. With the view to address this challenge, the systematic review method was developed. Systematic reviews aim to inform and facilitate this process through research synthesis of multiple studies, enabling increased and efficient access to evidence.[ 1 , 3 , 4 ]

Systematic reviews and meta-analyses have become increasingly important in healthcare settings. Clinicians read them to keep up-to-date with their field and they are often used as a starting point for developing clinical practice guidelines. Granting agencies may require a systematic review to ensure there is justification for further research and some healthcare journals are moving in this direction.[ 5 ]

This article is intended to provide an easy guide to understand the concept of systematic reviews and meta-analysis, which has been prepared with the aim of capacity building for general practitioners and other primary healthcare professionals in research methodology and day-to-day clinical practice.

The purpose of this article is to introduce readers to:

The two approaches of evaluating all the available evidence on an issue i.e., systematic reviews and meta-analysis,
Discuss the steps in doing a systematic review,
Introduce the terms used in systematic reviews and meta-analysis,
Interpret results of a meta-analysis, and
The advantages and disadvantages of systematic review and meta-analysis.

Application

What is the effect of antiviral treatment in dengue fever? Most often a primary care physician needs to know convincing answers to questions like this in a primary care setting.

To find out the solutions or answers to a clinical question like this, one has to refer textbooks, ask a colleague, or search electronic database for reports of clinical trials. Doctors need reliable information on such problems and on the effectiveness of large number of therapeutic interventions, but the information sources are too many, i.e., nearly 20,000 journals publishing 2 million articles per year with unclear or confusing results. Because no study, regardless of its type, should be interpreted in isolation, a systematic review is generally the best form of evidence.[ 6 ] So, the preferred method is a good summary of research reports, i.e., systematic reviews and meta-analysis, which will give evidence-based answers to clinical situations.

There are two fundamental categories of research: Primary research and secondary research. Primary research is collecting data directly from patients or population, while secondary research is the analysis of data already collected through primary research. A review is an article that summarizes a number of primary studies and may draw conclusions on the topic of interest which can be traditional (unsystematic) or systematic.

Terminologies

Systematic review.

A systematic review is a summary of the medical literature that uses explicit and reproducible methods to systematically search, critically appraise, and synthesize on a specific issue. It synthesizes the results of multiple primary studies related to each other by using strategies that reduce biases and random errors.[ 7 ] To this end, systematic reviews may or may not include a statistical synthesis called meta-analysis, depending on whether the studies are similar enough so that combining their results is meaningful.[ 8 ] Systematic reviews are often called overviews.

The evidence-based practitioner, David Sackett, defines the following terminologies.[ 3 ]

Review: The general term for all attempts to synthesize the results and conclusions of two or more publications on a given topic.
Overview: When a review strives to comprehensively identify and track down all the literature on a given topic (also called “systematic literature review”).
Meta-analysis: A specific statistical strategy for assembling the results of several studies into a single estimate.

Systematic reviews adhere to a strict scientific design based on explicit, pre-specified, and reproducible methods. Because of this, when carried out well, they provide reliable estimates about the effects of interventions so that conclusions are defensible. Systematic reviews can also demonstrate where knowledge is lacking. This can then be used to guide future research. Systematic reviews are usually carried out in the areas of clinical tests (diagnostic, screening, and prognostic), public health interventions, adverse (harm) effects, economic (cost) evaluations, and how and why interventions work.[ 9 ]

Cochrane reviews

Cochrane reviews are systematic reviews undertaken by members of the Cochrane Collaboration which is an international not-for-profit organization that aims to help people to make well-informed decisions about healthcare by preparing, maintaining, and promoting the accessibility of systematic reviews of the effects of healthcare interventions.

Cochrane Primary Health Care Field is a systematic review of primary healthcare research on prevention, treatment, rehabilitation, and diagnostic test accuracy. The overall aim and mission of the Primary Health Care Field is to promote the quality, quantity, dissemination, accessibility, applicability, and impact of Cochrane systematic reviews relevant to people who work in primary care and to ensure proper representation in the interests of primary care clinicians and consumers in Cochrane reviews and review groups, and in other entities. This field would serve to coordinate and promote the mission of the Cochrane Collaboration within the primary healthcare disciplines, as well as ensuring that primary care perspectives are adequately represented within the Collaboration.[ 10 ]

Meta-analysis

A meta-analysis is the combination of data from several independent primary studies that address the same question to produce a single estimate like the effect of treatment or risk factor. It is the statistical analysis of a large collection of analysis and results from individual studies for the purpose of integrating the findings.[ 11 ] The term meta-analysis has been used to denote the full range of quantitative methods for research reviews.[ 12 ] Meta-analyses are studies of studies.[ 13 ] Meta-analysis provides a logical framework to a research review where similar measures from comparable studies are listed systematically and the available effect measures are combined wherever possible.[ 14 ]

The fundamental rationale of meta-analysis is that it reduces the quantity of data by summarizing data from multiple resources and helps to plan research as well as to frame guidelines. It also helps to make efficient use of existing data, ensuring generalizability, helping to check consistency of relationships, explaining data inconsistency, and quantifies the data. It helps to improve the precision in estimating the risk by using explicit methods.

Therefore, “systematic review” will refer to the entire process of collecting, reviewing, and presenting all available evidence, while the term “meta-analysis” will refer to the statistical technique involved in extracting and combining data to produce a summary result.[ 15 ]

Steps in doing systematic reviews/meta-analysis

Following are the six fundamental essential steps while doing systematic review and meta-analysis.[ 16 ]

Define the question

This is the most important part of systematic reviews/meta-analysis. The research question for the systematic reviews may be related to a major public health problem or a controversial clinical situation which requires acceptable intervention as a possible solution to the present healthcare need of the community. This step is most important since the remaining steps will be based on this.

Reviewing the literature

This can be done by going through scientific resources such as electronic database, controlled clinical trials registers, other biomedical databases, non-English literatures, “gray literatures” (thesis, internal reports, non–peer-reviewed journals, pharmaceutical industry files), references listed in primary sources, raw data from published trials and other unpublished sources known to experts in the field. Among the available electronic scientific database, the popular ones are PUBMED, MEDLINE, and EMBASE.

Sift the studies to select relevant ones

To select the relevant studies from the searches, we need to sift through the studies thus identified. The first sift is pre-screening, i.e., to decide which studies to retrieve in full, and the second sift is selection which is to look again at these studies and decide which are to be included in the review. The next step is selecting the eligible studies based on similar study designs, year of publication, language, choice among multiple articles, sample size or follow-up issues, similarity of exposure, and or treatment and completeness of information.

It is necessary to ensure that the sifting includes all relevant studies like the unpublished studies (desk drawer problem), studies which came with negative conclusions or were published in non-English journals, and studies with small sample size.

Assess the quality of studies

The steps undertaken in evaluating the study quality are early definition of study quality and criteria, setting up a good scoring system, developing a standard form for assessment, calculating quality for each study, and finally using this for sensitivity analysis.

For example, the quality of a randomized controlled trial can be assessed by finding out the answers to the following questions:

Was the assignment to the treatment groups really random?
Was the treatment allocation concealed?
Were the groups similar at baseline in terms of prognostic factors?
Were the eligibility criteria specified?
Were the assessors, the care provider, and the patient blinded?
Were the point estimates and measure of variability presented for the primary outcome measure?
Did the analyses include intention-to-treat analysis?

Calculate the outcome measures of each study and combine them

We need a standard measure of outcome which can be applied to each study on the basis of its effect size. Based on their type of outcome, following are the measures of outcome: Studies with binary outcomes (cured/not cured) have odds ratio, risk ratio; studies with continuous outcomes (blood pressure) have means, difference in means, standardized difference in means (effect sizes); and survival or time-to-event data have hazard ratios.

Combining studies

Homogeneity of different studies can be estimated at a glance from a forest plot (explained below). For example, if the lower confidence interval of every trial is below the upper of all the others, i.e., the lines all overlap to some extent, then the trials are homogeneous. If some lines do not overlap at all, these trials may be said to be heterogeneous.

The definitive test for assessing the heterogeneity of studies is a variant of Chi-square test (Mantel–Haenszel test). The final step is calculating the common estimate and its confidence interval with the original data or with the summary statistics from all the studies. The best estimate of treatment effect can be derived from the weighted summary statistics of all studies which will be based on weighting to sample size, standard errors, and other summary statistics. Log scale is used to combine the data to estimate the weighting.

Interpret results: Graph

The results of a meta-analysis are usually presented as a graph called forest plot because the typical forest plots appear as forest of lines. It provides a simple visual presentation of individual studies that went into the meta-analysis at a glance. It shows the variation between the studies and an estimate of the overall result of all the studies together.

Forest plot

Meta-analysis graphs can principally be divided into six columns [ Figure 1 ]. Individual study results are displayed in rows. The first column (“study”) lists the individual study IDs included in the meta-analysis; usually the first author and year are displayed. The second column relates to the intervention groups and the third column to the control groups. The fourth column visually displays the study results. The line in the middle is called “the line of no effect.” The weight (in %) in the fifth column indicates the weighting or influence of the study on the overall results of the meta-analysis of all included studies. The higher the percentage weight, the bigger the box, the more influence the study has on the overall results. The sixth column gives the numerical results for each study (e.g., odds ratio or relative risk and 95% confidence interval), which are identical to the graphical display in the fourth column. The diamond in the last row of the graph illustrates the overall result of the meta-analysis.[ 4 ]

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Interpretation of meta-analysis[ 4 ]

Thus, the horizontal lines represent individual studies. Length of line is the confidence interval (usually 95%), squares on the line represent effect size (risk ratio) for the study, with area of the square being the study size (proportional to weight given) and position as point estimate (relative risk) of the study.[ 7 ]

For example, the forest plot of the effectiveness of dexamethasone compared with placebo in preventing the recurrence of acute severe migraine headache in adults is shown in Figure 2 .[ 17 ]

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Object name is JFMPC-2-9-g002.jpg

Forest plot of the effectiveness of dexamethasone compared with placebo in preventing the recurrence of acute severe migraine headache in adults[ 17 ]

The overall effect is shown as diamond where the position toward the center represents pooled point estimate, the width represents estimated 95% confidence interval for all studies, and the black plain line vertically in the middle of plot is the “line of no effect” (e.g., relative risk = 1).

Therefore, when examining the results of a systematic reviews/meta-analysis, the following questions should be kept in mind:

Heterogeneity among studies may make any pooled estimate meaningless.
The quality of a meta-analysis cannot be any better than the quality of the studies it is summarizing.
An incomplete search of the literature can bias the findings of a meta-analysis.
Make sure that the meta-analysis quantifies the size of the effect in units that you can understand.

Subgroup analysis and sensitivity analysis

Subgroup analysis looks at the results of different subgroups of trials, e.g., by considering trials on adults and children separately. This should be planned at the protocol stage itself which is based on good scientific reasoning and is to be kept to a minimum.

Sensitivity analysis is used to determine how results of a systematic review/meta-analysis change by fiddling with data, for example, what is the implication if the exclusion criteria or excluded unpublished studies or weightings are assigned differently. Thus, after the analysis, if changing makes little or no difference to the overall results, the reviewer's conclusions are robust. If the key findings disappear, then the conclusions need to be expressed more cautiously.

Advantages of Systematic Reviews

Systematic reviews have specific advantages because of using explicit methods which limit bias, draw reliable and accurate conclusions, easily deliver required information to healthcare providers, researchers, and policymakers, help to reduce the time delay in the research discoveries to implementation, improve the generalizability and consistency of results, generation of new hypotheses about subgroups of the study population, and overall they increase precision of the results.[ 18 ]

Limitations in Systematic Reviews/Meta-analysis

As with all research, the value of a systematic review depends on what was done, what was found, and the clarity of reporting. As with other publications, the reporting quality of systematic reviews varies, limiting readers’ ability to assess the strengths and weaknesses of those reviews.[ 5 ]

Even though systematic review and meta-analysis are considered the best evidence for getting a definitive answer to a research question, there are certain inherent flaws associated with it, such as the location and selection of studies, heterogeneity, loss of information on important outcomes, inappropriate subgroup analyses, conflict with new experimental data, and duplication of publication.

Publication Bias

Publication bias results in it being easier to find studies with a “positive” result.[ 19 ] This occurs particularly due to inappropriate sifting of the studies where there is always a tendency towards the studies with positive (significant) outcomes. This effect occurs more commonly in systematic reviews/meta-analysis which need to be eliminated.

The quality of reporting of systematic reviews is still not optimal. In a recent review of 300 systematic reviews, few authors reported assessing possible publication bias even though there is overwhelming evidence both for its existence and its impact on the results of systematic reviews. Even when the possibility of publication bias is assessed, there is no guarantee that systematic reviewers have assessed or interpreted it appropriately.[ 20 ]

To overcome certain limitations mentioned above, the Cochrane reviews are currently reported in a format where at the end of every review, findings are summarized in the author's point of view and also give an overall picture of the outcome by means of plain language summary. This is found to be much helpful to understand the existing evidence about the topic more easily by the reader.

A systematic review is an overview of primary studies which contains an explicit statement of objectives, materials, and methods, and has been conducted according to explicit and reproducible methodology. A meta-analysis is a mathematical synthesis of the results of two or more primary studies that addressed the same hypothesis in the same way. Although meta-analysis can increase the precision of a result, it is important to ensure that the methods used for the reviews were valid and reliable.

High-quality systematic reviews and meta-analyses take great care to find all relevant studies, critically assess each study, synthesize the findings from individual studies in an unbiased manner, and present balanced important summary of findings with due consideration of any flaws in the evidence. Systematic review and meta-analysis is a way of summarizing research evidence, which is generally the best form of evidence, and hence positioned at the top of the hierarchy of evidence.

Systematic reviews can be very useful decision-making tools for primary care/family physicians. They objectively summarize large amounts of information, identifying gaps in medical research, and identifying beneficial or harmful interventions which will be useful for clinicians, researchers, and even for public and policymakers.

Source of Support: Nil

Conflict of Interest: None declared.

Repetitive Behaviors In Autism And OCD: A Systematic Review

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

Learn about our Editorial Process

Saul McLeod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul McLeod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Autism and obsessive-compulsive disorder ( OCD ) share notable similarities in repetitive behaviors, presenting challenges for differential diagnosis and treatment planning. Both conditions can involve various types of repetitive behaviors, including:

Ritualized routines: Following strict patterns or sequences in daily activities.
Repetitive movements: Such as hand-flapping in autism or compulsive touching in OCD.
Intense interests : Preoccupation with specific topics or objects, though the nature and function may differ between conditions.
Ordering and arranging: Needing items to be in a particular order or symmetry .
Repetitive thoughts: Persistent, intrusive thoughts in OCD or fixations on specific topics in autism.
Verbal repetition: Echolalia in autism or repetitive phrases in OCD.

These behaviors can vary in intensity and presentation between individuals and across the lifespan. Additionally, autism and OCD often co-occur, with over 17% of autistic individuals also meeting criteria for OCD, further complicating the clinical picture.

A close up of someone's hand popping bubble wrap.

The study found considerable overlap in the expression and content of repetitive behaviors between autistic individuals and those with OCD, making differential diagnosis challenging.
No significant differences were generally found in overall intensity of autism-related restricted and repetitive behaviors and interests (RRBIs) between autistic individuals, those with OCD, and those with both conditions.
Individuals with OCD typically showed greater overall obsessive-compulsive symptom severity compared to autistic individuals without OCD.
Mixed findings were reported regarding the content of repetitive behaviors, with some studies finding differences in specific types of behaviors (e.g., hoarding, checking) between groups.
Factors associated with repetitive behaviors included neurological differences, executive functioning, social/communication factors, and age, though findings were often mixed or limited.
The research was limited by a lack of diversity in sampling, with underrepresentation of certain groups (e.g., non-White individuals, those with intellectual impairments).
The study highlights the importance of understanding the function and experience of repetitive behaviors, rather than just their outward expression, for accurate differential diagnosis and treatment planning.

This systematic review aimed to examine similarities and differences in repetitive behaviors between autistic individuals and those with obsessive-compulsive disorder (OCD).

The rationale for this study stems from the diagnostic overlap and high co-occurrence rates between autism and OCD, as well as the phenotypic similarities in repetitive behaviors observed in both conditions (van Steensel et al., 2011).

Previous research has highlighted challenges in differentiating between repetitive behaviors attributable to autism versus those related to OCD, which can impact accurate diagnosis and appropriate treatment planning (Paula-Pérez, 2013; Jiujias et al., 2017).

While previous narrative reviews have begun to explore this topic (Paula-Pérez, 2013; Jiujias et al., 2017), a systematic approach was needed to provide a comprehensive and up-to-date synthesis of the quantitative literature.

This study aimed to address this gap by systematically examining similarities and differences in repetitive behaviors across these populations in terms of expression, content, and associated factors.

The study followed the Preferred Reporting for Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines.

A systematic search was conducted across five electronic databases: Science Direct, PsycINFO, Web of Science, Scopus, and CINAHL.

Search strategy and terms

Search terms were grouped by target population (autism and OCD) and behavior of interest (RRBIs and compulsive behaviors).

The initial search was conducted on August 18, 2022, with an updated search on June 30, 2023.

Inclusion and exclusion criteria

Inclusion criteria were:

Participants of any age with autism and/or OCD diagnosis
Quantitative study design
Included a measure of RRBIs and/or compulsive behaviors
Comparison between diagnostic groups
Peer-reviewed and full-text articles
Written in English

Exclusion criteria included non-human research, participants without formal diagnoses, single clinical population studies, and qualitative studies.

Statistical measures

The review employed both quantitative and narrative synthesis of the data. Categories of behavior were determined based on the measures used to assess repetitive behaviors across studies.

Expression of Repetitive Behaviors:

Most studies (91%) found no significant differences in overall intensity of RRBIs between autistic individuals, those with OCD, and those with both conditions.
The majority of studies (86%) reported individuals with OCD had significantly greater total obsessive-compulsive symptom severity compared to autistic individuals without OCD.
Studies comparing individuals with OCD to those with both conditions generally found no significant differences in total obsessive-compulsive symptom severity (67% of studies).

Content of Repetitive Behaviors:

Mixed findings were reported for the content of autism-related RRBIs, with limited studies examining this aspect.
Counting and repeating compulsions were generally similar across groups.
Checking compulsions were more frequently reported in individuals with OCD.
Hoarding compulsions were more frequently endorsed by autistic adults compared to adults with OCD.
Mixed findings were reported for washing/cleaning and ordering/arranging compulsions.

Factors Associated with Repetitive Behaviors:

Neurological factors: Some studies associated the intensity of repetitive behaviors with differences in glutamate concentration or striatal activity, though findings were limited.
Executive functioning: Challenges in executive functioning were associated with greater intensity of repetitive behaviors in autistic children, but not consistently in children with OCD.
Social and communication factors: Some studies found associations between social difficulties and obsessive-compulsive symptom severity, though findings were limited.
Psychological/experiential factors: Limited studies reported on these factors, generally finding no differences in metacognitive beliefs or control associated with repetitive behaviors between groups.
Age: One study found sameness behavior to be more prevalent in younger children with OCD, but not in autistic children.

This systematic review provides a comprehensive analysis of the current literature on repetitive behaviors in autism and OCD, highlighting the considerable overlap in behavioral presentations between these conditions.

The findings suggest that while some distinctions can be made at a group level, particularly in terms of overall obsessive-compulsive symptom severity, differentiating between autism and OCD based solely on the expression or content of repetitive behaviors remains challenging.

The study extends previous research by systematically examining a wide range of factors associated with repetitive behaviors, including neurological, executive functioning, and social/communication factors.

However, the mixed and often limited findings in these areas underscore the need for further research to better understand the underlying mechanisms driving repetitive behaviors in each condition.

A key insight from this review is the importance of considering the function and experience of repetitive behaviors, rather than just their outward expression, for accurate differential diagnosis and treatment planning.

This aligns with previous suggestions by Paula-Pérez (2013) regarding the potential importance of emotional valence in differentiating between autism and OCD-related repetitive behaviors.

Future research directions could include:

More in-depth examinations of the content of autism-related RRBIs between groups.
Studies focusing on the underlying motivations and functions of repetitive behaviors in each condition.
Longitudinal studies tracking changes in repetitive behaviors over time and their associations with various factors.
Research including more diverse samples, particularly individuals with intellectual impairments and from diverse ethnic backgrounds.

The study had several methodological strengths:

Adherence to PRISMA guidelines for systematic reviews.
Comprehensive search strategy across multiple databases.
Inclusion of a wide range of studies examining various aspects of repetitive behaviors.
Rigorous quality assessment of included studies.
Consideration of both autism and OCD-specific measures of repetitive behaviors.
Examination of associated factors beyond just behavioral presentations.

Limitations

This study also had several methodological limitations, including:

Limited diversity in sampling, with underrepresentation of non-White individuals and those with intellectual impairments.
Exclusion of grey literature and non-English publications, potentially introducing bias.
Lack of input from individuals with lived experience of autism or OCD in the included studies.
Heterogeneity in measures used across studies, making direct comparisons challenging.
Limited examination of sex and gender differences in repetitive behaviors.

These limitations impact the generalizability of the findings and highlight the need for more diverse and inclusive research in this area.

Implications

The findings of this review have significant implications for clinical practice and research:

Differential diagnosis: The considerable overlap in repetitive behaviors between autism and OCD suggests that clinicians should not rely solely on the presence or intensity of these behaviors for diagnosis. A more comprehensive assessment considering the function, motivation, and subjective experience of repetitive behaviors is necessary.
Treatment planning: Understanding the similarities and differences in repetitive behaviors across these conditions can inform more tailored interventions. For instance, treatments targeting executive functioning may be more relevant for autism-related repetitive behaviors.
Comorbidity considerations: The high rates of co-occurrence between autism and OCD highlight the importance of screening for both conditions in clinical settings, even when one diagnosis is already established.
Research directions: The review underscores the need for more nuanced research examining specific subtypes of repetitive behaviors and their underlying mechanisms in both autism and OCD.
Inclusive practices: The limitations in sampling diversity emphasize the importance of more inclusive research practices to ensure findings are generalizable across different populations.

Primary reference

O’Loghlen, J., McKenzie, M., Lang, C., & Paynter, J. (2024). Repetitive behaviors in autism and obsessive-compulsive disorder: A systematic review. Journal of Autism and Developmental Disorders. Advance online publication. https://doi.org/10.1007/s10803-024-06357-8

Other references

Jiujias, M., Kelley, E., & Hall, L. (2017). Restricted, repetitive behaviors in autism spectrum disorder and obsessive–compulsive disorder: A comparative review. Child Psychiatry and Human Development, 48 (6), 944–959. https://doi.org/10.1007/s10578-017-0717-0

Paula-Pérez, I. (2013). Differential diagnosis between obsessive compulsive disorder and restrictive and repetitive behavioural patterns, activities and interests in autism spectrum disorders. Revista De Psiquiatría Y Salud Mental (English Edition), 6 (4), 178–186. https://doi.org/10.1016/j.rpsmen.2012.07.006

van Steensel, F. J. A., Bögels, S. M., & Perrin, S. (2011). Anxiety disorders in children and adolescents with autistic spectrum disorders: A meta-analysis. Clinical Child and Family Psychology Review, 14 (3), 302–317. https://doi.org/10.1007/s10567-011-0097-0

Keep Learning

How might the ego-syntonic vs. ego-dystonic nature of repetitive behaviors in autism and OCD, respectively, influence treatment approaches?
What ethical considerations should be taken into account when conducting research on repetitive behaviors in autistic individuals or those with OCD?
How might cultural factors influence the expression and interpretation of repetitive behaviors in different populations?
Given the overlap in repetitive behaviors between autism and OCD, how might this impact our understanding of these conditions as distinct diagnostic categories?
What role might sensory processing differences play in the manifestation of repetitive behaviors in autism versus OCD?

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Research investigation concerning potential motivators and psychological influences on health and physical exercise participation have increased worldwide in the last two decades. In contrast, few investigations have analysed this phenomenon in older people living in different contexts. ... A systematic review of 945 studies was conducted. All ...
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While much research focuses on organ donation in the context of brain stem death, there is a notable dearth of studies examining the experiences of families themselves. The aim of this review is to explore the experiences of families facing brain stem death. Design Systematic review.
Systematic Reviews and Meta-analysis: Understanding the Best Evidence
Systematic review and meta-analysis is a way of summarizing research evidence, which is generally the best form of evidence, and hence positioned at the top of the hierarchy of evidence. Systematic reviews can be very useful decision-making tools for primary care/family physicians.
Repetitive Behaviors In Autism And OCD: A Systematic Review
The research was limited by a lack of diversity in sampling, with underrepresentation of certain groups (e.g., non-White individuals, those with intellectual impairments). ... This systematic review provides a comprehensive analysis of the current literature on repetitive behaviors in autism and OCD, highlighting the considerable overlap in ...

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Systematic Review | Definition, Example & Guide

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Step 1: Formulate a research question

Step 2: Develop a protocol

Step 3: Search for all relevant studies

Step 4: Apply the selection criteria

Step 5: Extract the data

Step 6: Synthesize the data

Step 7: Write and publish a report

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Shaun Turney

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Systematic Review | Definition, Examples & Guide

Table of contents

Prevent plagiarism, run a free check.

Step 1: Formulate a research question

Step 2: Develop a protocol

Step 3: Search for all relevant studies

Step 4: Apply the selection criteria

Step 5: Extract the data

Step 6: Synthesise the data

Step 7: Write and publish a report

Cite this Scribbr article

Is this article helpful?

Shaun Turney

Introduction to Systematic Reviews

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