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  • General Dentistry
  • Restorative Dentistry
  • Periodontology

journal of periodontal research review time

Journal of Periodontal Research

Print ISSN: 0022-3484

Online ISSN: 1600-0765

Impact Factor: 3.4

journal of periodontal research review time

Edited By:Dr. Shinya Murakami

Journal of Periodontal Research

journal of periodontal research review time

Subject Area and Category

  • Periodontics

Blackwell Munksgaard

Publication type

00223484, 16000765

1946-1951, 1966-2023

Information

How to publish in this journal

[email protected]

journal of periodontal research review time

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

CategoryYearQuartile
Periodontics1999Q2
Periodontics2000Q3
Periodontics2001Q3
Periodontics2002Q3
Periodontics2003Q3
Periodontics2004Q3
Periodontics2005Q3
Periodontics2006Q2
Periodontics2007Q3
Periodontics2008Q3
Periodontics2009Q3
Periodontics2010Q3
Periodontics2011Q3
Periodontics2012Q2
Periodontics2013Q2
Periodontics2014Q2
Periodontics2015Q2
Periodontics2016Q2
Periodontics2017Q2
Periodontics2018Q2
Periodontics2019Q2
Periodontics2020Q2
Periodontics2021Q2
Periodontics2022Q1
Periodontics2023Q1

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

YearSJR
19990.742
20000.644
20010.732
20020.743
20030.935
20041.014
20050.968
20061.065
20070.972
20080.958
20090.916
20100.914
20110.864
20120.839
20130.937
20141.079
20151.126
20161.091
20170.927
20181.061
20191.078
20201.310
20210.962
20220.816
20230.895

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

YearDocuments
199967
200045
200153
200265
200389
200462
200566
200679
200779
200897
2009100
2010108
201195
201297
201397
201496
201598
201683
2017111
2018104
201975
202099
2021117
2022111
2023132

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per documentYearValue
Cites / Doc. (4 years)19991.743
Cites / Doc. (4 years)20001.566
Cites / Doc. (4 years)20011.698
Cites / Doc. (4 years)20021.904
Cites / Doc. (4 years)20032.091
Cites / Doc. (4 years)20042.163
Cites / Doc. (4 years)20052.398
Cites / Doc. (4 years)20062.734
Cites / Doc. (4 years)20072.618
Cites / Doc. (4 years)20082.577
Cites / Doc. (4 years)20092.614
Cites / Doc. (4 years)20102.766
Cites / Doc. (4 years)20112.398
Cites / Doc. (4 years)20122.585
Cites / Doc. (4 years)20132.563
Cites / Doc. (4 years)20142.592
Cites / Doc. (4 years)20152.834
Cites / Doc. (4 years)20162.807
Cites / Doc. (4 years)20172.885
Cites / Doc. (4 years)20182.740
Cites / Doc. (4 years)20193.298
Cites / Doc. (4 years)20204.056
Cites / Doc. (4 years)20214.622
Cites / Doc. (4 years)20224.218
Cites / Doc. (4 years)20233.853
Cites / Doc. (3 years)19991.743
Cites / Doc. (3 years)20001.409
Cites / Doc. (3 years)20011.568
Cites / Doc. (3 years)20021.958
Cites / Doc. (3 years)20031.908
Cites / Doc. (3 years)20042.121
Cites / Doc. (3 years)20052.398
Cites / Doc. (3 years)20062.668
Cites / Doc. (3 years)20072.638
Cites / Doc. (3 years)20082.424
Cites / Doc. (3 years)20092.392
Cites / Doc. (3 years)20102.605
Cites / Doc. (3 years)20112.275
Cites / Doc. (3 years)20122.578
Cites / Doc. (3 years)20132.443
Cites / Doc. (3 years)20142.675
Cites / Doc. (3 years)20152.834
Cites / Doc. (3 years)20162.722
Cites / Doc. (3 years)20172.881
Cites / Doc. (3 years)20182.829
Cites / Doc. (3 years)20193.168
Cites / Doc. (3 years)20204.193
Cites / Doc. (3 years)20214.543
Cites / Doc. (3 years)20223.969
Cites / Doc. (3 years)20233.948
Cites / Doc. (2 years)19991.451
Cites / Doc. (2 years)20001.183
Cites / Doc. (2 years)20011.500
Cites / Doc. (2 years)20021.755
Cites / Doc. (2 years)20031.517
Cites / Doc. (2 years)20042.026
Cites / Doc. (2 years)20052.152
Cites / Doc. (2 years)20062.766
Cites / Doc. (2 years)20072.448
Cites / Doc. (2 years)20082.171
Cites / Doc. (2 years)20092.244
Cites / Doc. (2 years)20102.497
Cites / Doc. (2 years)20112.067
Cites / Doc. (2 years)20122.384
Cites / Doc. (2 years)20132.401
Cites / Doc. (2 years)20142.531
Cites / Doc. (2 years)20152.622
Cites / Doc. (2 years)20162.567
Cites / Doc. (2 years)20172.983
Cites / Doc. (2 years)20182.649
Cites / Doc. (2 years)20193.265
Cites / Doc. (2 years)20204.011
Cites / Doc. (2 years)20214.132
Cites / Doc. (2 years)20223.898
Cites / Doc. (2 years)20233.768

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

CitesYearValue
Self Cites199950
Self Cites200021
Self Cites200135
Self Cites200230
Self Cites200340
Self Cites200432
Self Cites200563
Self Cites200643
Self Cites200736
Self Cites200859
Self Cites200954
Self Cites201055
Self Cites201146
Self Cites201257
Self Cites201364
Self Cites201448
Self Cites201553
Self Cites201632
Self Cites201752
Self Cites201841
Self Cites201940
Self Cites202041
Self Cites202149
Self Cites202255
Self Cites202373
Total Cites1999401
Total Cites2000310
Total Cites2001276
Total Cites2002323
Total Cites2003311
Total Cites2004439
Total Cites2005518
Total Cites2006579
Total Cites2007546
Total Cites2008543
Total Cites2009610
Total Cites2010719
Total Cites2011694
Total Cites2012781
Total Cites2013733
Total Cites2014773
Total Cites2015822
Total Cites2016792
Total Cites2017798
Total Cites2018826
Total Cites2019944
Total Cites20201216
Total Cites20211263
Total Cites20221155
Total Cites20231291

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

CitesYearValue
External Cites per document19991.526
External Cites per document20001.314
External Cites per document20011.369
External Cites per document20021.776
External Cites per document20031.663
External Cites per document20041.966
External Cites per document20052.106
External Cites per document20062.470
External Cites per document20072.464
External Cites per document20082.161
External Cites per document20092.180
External Cites per document20102.406
External Cites per document20112.125
External Cites per document20122.389
External Cites per document20132.230
External Cites per document20142.509
External Cites per document20152.652
External Cites per document20162.612
External Cites per document20172.693
External Cites per document20182.688
External Cites per document20193.034
External Cites per document20204.052
External Cites per document20214.367
External Cites per document20223.780
External Cites per document20233.725
Cites per document19991.743
Cites per document20001.409
Cites per document20011.568
Cites per document20021.958
Cites per document20031.908
Cites per document20042.121
Cites per document20052.398
Cites per document20062.668
Cites per document20072.638
Cites per document20082.424
Cites per document20092.392
Cites per document20102.605
Cites per document20112.275
Cites per document20122.578
Cites per document20132.443
Cites per document20142.675
Cites per document20152.834
Cites per document20162.722
Cites per document20172.881
Cites per document20182.829
Cites per document20193.168
Cites per document20204.193
Cites per document20214.543
Cites per document20223.969
Cites per document20233.948

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

YearInternational Collaboration
199914.93
200020.00
200126.42
200230.77
200315.73
200420.97
200515.15
200621.52
200717.72
200819.59
200929.00
201022.22
201124.21
201222.68
201323.71
201420.83
201521.43
201622.89
201729.73
201834.62
201925.33
202029.29
202124.79
202234.23
202320.45

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

DocumentsYearValue
Non-citable documents19990
Non-citable documents20000
Non-citable documents20010
Non-citable documents20020
Non-citable documents20030
Non-citable documents20040
Non-citable documents20050
Non-citable documents20060
Non-citable documents20070
Non-citable documents20080
Non-citable documents20090
Non-citable documents20100
Non-citable documents20110
Non-citable documents20120
Non-citable documents20131
Non-citable documents20141
Non-citable documents20151
Non-citable documents20160
Non-citable documents20170
Non-citable documents20180
Non-citable documents20190
Non-citable documents20202
Non-citable documents20212
Non-citable documents20224
Non-citable documents20232
Citable documents1999230
Citable documents2000220
Citable documents2001176
Citable documents2002165
Citable documents2003163
Citable documents2004207
Citable documents2005216
Citable documents2006217
Citable documents2007207
Citable documents2008224
Citable documents2009255
Citable documents2010276
Citable documents2011305
Citable documents2012303
Citable documents2013299
Citable documents2014288
Citable documents2015289
Citable documents2016291
Citable documents2017277
Citable documents2018292
Citable documents2019298
Citable documents2020288
Citable documents2021276
Citable documents2022287
Citable documents2023325

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

DocumentsYearValue
Uncited documents199979
Uncited documents200091
Uncited documents200166
Uncited documents200255
Uncited documents200346
Uncited documents200449
Uncited documents200552
Uncited documents200643
Uncited documents200740
Uncited documents200848
Uncited documents200956
Uncited documents201055
Uncited documents201167
Uncited documents201252
Uncited documents201349
Uncited documents201448
Uncited documents201559
Uncited documents201645
Uncited documents201743
Uncited documents201842
Uncited documents201946
Uncited documents202026
Uncited documents202137
Uncited documents202230
Uncited documents202342
Cited documents1999151
Cited documents2000129
Cited documents2001110
Cited documents2002110
Cited documents2003117
Cited documents2004158
Cited documents2005164
Cited documents2006174
Cited documents2007167
Cited documents2008176
Cited documents2009199
Cited documents2010221
Cited documents2011238
Cited documents2012251
Cited documents2013251
Cited documents2014241
Cited documents2015231
Cited documents2016246
Cited documents2017234
Cited documents2018250
Cited documents2019252
Cited documents2020264
Cited documents2021241
Cited documents2022261
Cited documents2023285

Evolution of the percentage of female authors.

YearFemale Percent
199922.33
200021.85
200120.18
200221.29
200322.47
200422.90
200517.32
200624.74
200728.34
200829.52
200929.56
201030.15
201135.50
201231.22
201332.96
201435.80
201533.26
201634.57
201734.60
201836.52
201938.76
202046.83
202139.97
202245.18
202343.77

Evolution of the number of documents cited by public policy documents according to Overton database.

DocumentsYearValue
Overton19992
Overton20001
Overton20013
Overton20024
Overton20031
Overton20041
Overton20055
Overton20065
Overton20075
Overton20081
Overton20092
Overton20106
Overton20115
Overton201210
Overton20137
Overton20146
Overton20157
Overton20168
Overton20176
Overton20185
Overton20192
Overton20202
Overton20210
Overton20220
Overton20230

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

DocumentsYearValue
SDG201822
SDG201910
SDG202017
SDG202122
SDG202218
SDG202318

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Journal Of Periodontal Research impact factor, indexing, ranking (2024)

journal

Aim and Scope

The Journal Of Periodontal Research is a research journal that publishes research related to Dentistry . This journal is published by the Blackwell Munksgaard. The ISSN of this journal is 16000765, 00223484 . Based on the Scopus data, the SCImago Journal Rank (SJR) of journal of periodontal research is 0.816 .

Journal Of Periodontal Research Ranking

The latest Impact Factor list (JCR) is released in June 2024.

The Impact Factor of Journal Of Periodontal Research is 3.4.

The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times its articles are cited.

The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI) in Philadelphia. Impact factors began to be calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson-Reuters spun off and sold ISI to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate , which is now the publisher of the JCR.

Important Metrics

Journal of Periodontal Research
Blackwell Munksgaard
16000765, 00223484
journal
Dentistry
Denmark
93
0.816
Periodontics (Q1)

The journal of periodontal research is indexed in:

  • Web of Science (SCIE)

An indexed journal means that the journal has gone through and passed a review process of certain requirements done by a journal indexer.

The Web of Science Core Collection includes the Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (AHCI), and Emerging Sources Citation Index (ESCI).

Journal Of Periodontal Research Impact Factor 2024

The latest impact factor of journal of periodontal research is 3.4 which is recently updated in June, 2024.

The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.

Note: Every year, The Clarivate releases the Journal Citation Report (JCR). The JCR provides information about academic journals including impact factor. The latest JCR was released in June, 2023. The JCR 2024 will be released in the June 2024.

The latest Quartile of journal of periodontal research is Q1 .

Each subject category of journals is divided into four quartiles: Q1, Q2, Q3, Q4. Q1 is occupied by the top 25% of journals in the list; Q2 is occupied by journals in the 25 to 50% group; Q3 is occupied by journals in the 50 to 75% group and Q4 is occupied by journals in the 75 to 100% group.

Journal Publication Time

The publication time may vary depending on factors such as the complexity of the research and the current workload of the editorial team. Journals typically request reviewers to submit their reviews within 3-4 weeks. However, some journals lack mechanisms to enforce this deadline, making it difficult to predict the duration of the peer review process.

The review time also depends upon the quality of the research paper.

Call for Papers

Visit to the official website of the journal/ conference to check the details about call for papers.

How to publish in Journal Of Periodontal Research?

If your research is related to Dentistry, then visit the official website of journal of periodontal research and send your manuscript.

Tips for publishing in Journal Of Periodontal Research:

  • Selection of research problem.
  • Presenting a solution.
  • Designing the paper.
  • Make your manuscript publication worthy.
  • Write an effective results section.
  • Mind your references.

Acceptance Rate

Final summary.

  • The impact factor of journal of periodontal research is 3.4.
  • The journal of periodontal research is a reputed research journal.
  • It is published by Blackwell Munksgaard .
  • The journal is indexed in UGC CARE, Scopus, SCIE, PubMed .
  • The (SJR) SCImago Journal Rank is 0.816 .

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  • J Clin Diagn Res
  • v.11(8); 2017 Aug

Patient Reported Outcome Assessment of Periodontal Therapy: A Systematic Review

1 Associate Professor, Department of Periodontics, Government Dental College Thrissur, Kerala University of Health Sciences, Kerala, India.

2 Associate Professor, Department of Orthodontics, Government Dental College Alleppey, Kerala University of Health Sciences, Kerala, India.

N.O. Varghese

3 Principal, Department of Conservative Dentistry and Endodontics, Pms College of Dental Sciences, Trivandrum, Kerala, India.

4 Senior Resident, Department of Periodontics, Government Dental College Kottayam, Kerala University of Health Sciences, Kerala, India.

Introduction

Patient Reported Outcomes (PROs) are now regarded as a fundamental measure of therapeutic success. Patient’s opinion regarding the impact of disease and its treatment is assessed using scales such as Oral Health Related Quality Of Life (OHRQoL) tools. Patient centred outcome assessment is now being considered as a primary outcome measure in clinical trials.

To evaluate whether treatment of periodontal disease could influence OHRQoL based on available literature.

Materials and Methods

An electronic search was done in Google, Google Scholar and Pubmed for articles in English language using the terms Quality of Life or ORHQoL or PROs or patient centered outcome and periodontal therapy. The search commenced on 1 st September 2016 and ended on 15 th December 2016. Studies that employed one or more than one multi-item OHRQoL instrument to assess PROs related to either non-surgical or surgical periodontal therapy were reviewed.

Initially 423 relevant articles were obtained, from which based on screening titles and abstracts 396 were excluded. Full text of remaining 27 articles were retrieved. Nineteen clinical studies with 1345 participants and 2 systematic reviews were included after the full text review.

Both surgical and Non-surgical Periodontal Therapy (NSPT) significantly influenced the OHRQoL scores. However the change in scores after surgical therapy when compared to nonsurgical therapy was not statistically significant. There is a need for a specific PROs scale that could potentially tap the entire dimension of the change in patients’ perception brought about by periodontal therapy.

Periodontal disease owing to its inherent characteristics is traditionally measured using surrogate markers like Probing Pocket Depth (PPD) and Clinical Attachment Level (CAL). Traditionally therapeutic success was determined by the positive change in the patient’s clinical, physiological, radiological or biochemical parameters brought about by the treatment. In the modern day medical and dental practice, patient assumes a more active central role in decision making and treatment planning. Patient’s opinion, therefore is a fundamental measure of therapeutic success along with the various traditional markers. As the patient is the primary beneficiary of the treatment, there is a need to recognize and value the patient’s perception of change in response to treatment. The patients opinion about their health status is not only increasingly recognized in clinical practice but also being incorporated as an outcome measure in clinical epidemiology as well as in controlled clinical trials [ 1 , 2 ]. It was Cohen LK and Jago JD who reported for the first time, the development of patient based measures for the assessment of oral health [ 3 ]. Ever since, development and application of tools for the self-assessment of oral disease outcomes or PROs has grown remarkably over the years. The PROs are used as an umbrella term and include not only measures of subjective symptoms, but assessment of treatment satisfaction and also Health-Related Quality Of Life (HRQoL). Eisenberg HS and Goldenburg IS in 1966 first reported the use of patient’s subjective opinion as a measure in comparing the effects of treatment approaches in breast cancer surgery [ 4 ]. In this study, the quality of survival after radical mastectomy was compared to limited surgery using a questionnaire to evaluate patient’s attitude. Later USFDA [ 5 ] instructed to include the patients’QoL data as one of the key efficacy parameters in clinical trials for new anticancer agents. This decision has popularized PROs as an essential outcome variable in clinical trials. In 1986 the New England Journal of Medicine published a Randomized Controlled Trial (RCT) comparing antihypertensive drugs which used patients’ self-assessment of QoL as primary outcome measure [ 6 ]. In 2002, Somerman MJ stated that research on the regeneration of oro-craniofacial tissues (including periodontal tissues) needs to consider subjective, PRO factors when designing such therapies [ 7 ]. USFDA has defined PROs as “any report of the status of a patient’s health condition that comes directly from the patient, without interpretation of the patients’ response by a clinician or anyone else” [ 5 ]. The term Patient Based Outcome (PBO) has been used by certain investigators pertaining to periodontal disease [ 2 , 8 ]. The aim of the present review was to evaluate whether surgical or NSPT has an effect on OHRQoL based on available literature.

What and How of PROs: PROs are data obtained directly from the patient over telephone, via email, by personal interview or by self-administered questionnaire. PRO has to be administered by an independent agent other than the treating periodontist or the person taking clinical measurements. Computerized assessments or questions administered by staff members who are not involved in the patient’s treatment may yield more accurate measurements. A typical PRO instrument is a set of questions or statements and each question or statement is known as an item [ 5 ]. There may be multiple items under several domains in an instrument. The patient’s response will be in Visual Analog Scale (VAS) or Likert like scale format which can be quantified as a particular total score for an individual. The items in a PRO instrument should match the context of use like nature of treatment, patients or population in which it is applied, and the objective of assessment. In other words, the PRO measure [ Table/Fig-1 ] has to be specific to the treatment or intervention to be studied to obtain desired results. For example a PRO instrument that compares two surgical techniques for root coverage should include items on postoperative pain and discomfort, presence of donor site and associated morbidity, aesthetics, well-being and satisfaction. Pain and sensitivity are common symptoms associated with periodontal therapy. Treatment experiences like pain need to be recorded in near real time as patients tend to forget the intensity of pain over time [ 9 ]. A delay in getting such data may lead to bias in comparative clinical trials. PRO measures provide scores based upon patients opinion, which gives a clear picture about his or her health or illness. PROs are useful not only for clinicians and researchers but also for patients themselves, their family members, healthcare providers, regulatory authorities and researchers.

[Table/Fig-1]:

Ideal qualities of PRO measures [ 40 ].

A PRO measure should
1) Be free from error or reliable
2) Measure what they are intended to measure or valid
3) Be sensitive to changes in the patient’s condition or be able to detect treatment differences and
4) Be interpretable or clinically meaningful.

Relevance of PRO in periodontal therapy: Treatment of periodontitis is challenging because of the complexity of the condition, lack of complete understanding of the best disease control method and the need for a determined hygiene care from the patient. Assessment of therapeutic success by traditional ways therefore is inappropriate. Though the advancement in diagnostic techniques allows the clinician or researcher to measure the clinical, symptomatic and biochemical aspects after periodontal therapy, some critical patient related aspects still remain undetected. Certain data such as impact on physical functions like chewing, smiling and speech, cognitive functioning, satisfaction with treatment, psychological and social well-being and changes in OHRQoL with treatment can be obtained only from the patients self-report. Studies have shown that periodontal disease negatively impacts on OHRQoL [ 10 , 11 ]. A correlation between extent and severity of periodontal disease and poorer OHRQoL has also been reported [ 12 , 13 ]. Patients are aware of some periodontal health indicators such as teeth with mobility, recession in the aesthetic zone, and Bleeding On Probing (BOP) and these are highly correlated with their self-reported QoL. But there are certain silent indicators about which the patient is unaware like number of teeth with deep pockets or furcation involvements that do not correlate with their self-reported health status [ 14 ]. Therefore, PRO measurement of periodontal status related to treatment needs to be carefully assessed.

Satisfaction is a multidimensional construct about which there is little or no consensus. Patient satisfaction about periodontal therapy is one of the desirable outcomes and should be a main objective of the clinician. In the 21 st century, assessment of patient satisfaction related to therapy has become pivotal; thanks to the increasing consumerism in health care. There is also a shift in practitioner-patient relationships from a medical model to a transformed interactive model [ 15 ]. PRO instruments are very effective in studying patient satisfaction to a particular treatment or technique. It is also a valuable tool in assessing the HRQoL. Certain OHRQoL tools like Oral Health Impact Profile-14 (OHIP 14) [ 16 ] and Xerostomia Related QoL Scale [ 17 ] have been used in many studies as a subjective indicator to assess oral health status. Other generic tools used as PRO measures of periodontal disease status include OHRQoL Model for Dental Hygiene [ 18 ] Child Perceptions Questionnaire (CPQ 11-14) [ 19 ] and Oral Impacts on Daily Performance (OIDP) [ 8 ]. If the context of use allows, one of these established generic scales can be used as a PRO measure. Otherwise the clinician or researcher has to develop a reliable and valid context specific PRO tool for their use. In 2003, AAP commissioned systematic review [ 20 ] on surgical therapies for the treatment of recession pointed out the lack of standardized PRO measures as a limitation of the studies reviewed. It recommended to incorporate PRO measures in future studies.

Minimally important difference (MID) and statistically significant change in OHRQoL score: Many studies evaluated the impact of periodontal therapy on PRO and most of them report statistically significant changes from baseline OHRQoL scores. But this does not guarantee the observed differences are clinically meaningful [ 20 ]. MID [ 21 , 22 ] denotes the smallest change in a score that can be perceived as beneficial. In MID assessment, no clinical measures are used rather it represents the smallest score or change in score that is likely to be important from the patients or clinicians perspective [ 22 ]. MID, therefore, is an important parameter in the study on the impact of periodontal therapy on PRO to determine whether the observed change in OHRQoL scores after treatment is clinically meaningful [ 6 , 7 , 23 ]. MID estimation is done by two methods- distributed based and anchor based methods [ 7 , 21 , 22 ]. Distributed based MID estimation utilizes two statistical parameters namely Effect Size (ES) and Standard Error of Measurement (SEM) [ 22 , 23 ]. According to Norman GR et al., MID can be assumed as 0.5 Standard Deviation (SD) of the baseline score or an ES of 0.5 [ 24 ]. Jonsson B and Ohrn K assessed MID one year after NSPT using two OHRQoL tools [ 23 ]. Therefore studies on the impact of periodontal therapy on patient centered outcomes need to estimate MID, ES or SEM along with the statistical significance in the change score of the OHRQoL tool post treatment compared to the baseline.

The review was registered with the Institutional Ethics Committee of Govt. Dental College Kottayam, Kerala, India (registration no.IEC/ M/13/2017/DCK).

Search strategy: An electronic search was done in Google, Google Scholar and Pubmed for articles in English language using the terms QoL or OHRQoL or PROs or patient centred outcome AND periodontal therapy. The search commenced on 1 st September 2016 and ended on 15 th December 2016. Reference sections of potential studies were also searched. Unpublished literature was not included.

Eligibility: Studies assessing OHRQoL in patients with periodontitis receiving surgical or NSPT were included. Only adults above 18 years as participants were included. Non surgical therapy include oral hygiene instructions, supra and subgingival scaling and root planning using hand or ultrasonic/piezo electric devices, antiplaque agents and local or systemic antimicrobial therapy. Surgical therapy include flap technique for pocket therapy with or without regenerative material and root coverage procedures. Change in the self reported OHRQoL score from baseline was the outcome of interest. Longitudinal studies and both controlled and non-controlled clinical trials were considered. Inclusion criteria were as follows: 1) Studies that employed one or more than one multi-item OHRQoL instrument to assess PROs related to either NSPT or surgical periodontal therapy; 2) proper case definition of ‘periodontitis/ periodontal disease’ for sample selection; 3) minimum follow up of one week after periodontal therapy.

The excluded studies are: 1) narrative reviews; 2) case reports; 3) OHRQoL reported by parents or care givers; 4) those with participant’s age below 18 years; and 5) those related to implant surgeries.

Titles/abstract screening was done by one reviewer and full text articles collected. Full text articles were independently assessed for eligibility by two reviewers. Observational studies were assessed for participant selection, case definition and outcome assessment criteria. Randomised controlled trials were screened for randomisation, allocation concealment and blinding. Both the reviewers independently analysed all full texts and agreement on eligibility for inclusion and quality assessment was arrived on discussion.

Results of the search: Initially 423 relevant articles were obtained, from which based on screening titles and abstracts 396 were excluded for not related to research objective. Full text of remaining 27 articles was retrieved. Nineteen clinical studies with 1345 participants and two systematic reviews met all the inclusion criteria. Reasons for exclusion after full text review were use of non validated QoL scale [ 25 - 29 ] and not providing any periodontal treatment as part of therapy [ 30 ]. Search process and study inclusion are given in [ Table/Fig-2 ].

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Prisma flow chart.

General characteristics of the included studies: All the included studies have defined ‘periodontitis case’ based on clinical parameters such as PD, BOP, CAL or GR. Of the 21 studies included, six were longitudinal or before after comparisons [ 31 - 36 ] six prospective clinical studies [ 1 , 37 - 41 ] one controlled clinical trial [ 42 ], two pilot studies [ 18 , 43 ], four randomised controlled trials [ 23 , 44 - 46 ] and two systematic reviews [ 2 , 47 ]. Eleven studies assessed the effect of NSPT on QoL [ 23 , 32 - 34 , 38 , 39 , 41 - 43 , 45 , 47 ]. Four studies compared NSPT and periodontal pocket surgery on effecting QoL changes [ 1 , 18 , 31 , 44 ]. Three studies investigated the role of root coverage procedures on QoL [ 36 , 37 , 40 ] and one study estimated whether Type 2 diabetes influences QoL scores in periodontally healthy and diseased subjects [ 35 ]. Four studies were from UK [ 32 , 35 , 43 , 45 ], three each from Brazil [ 40 , 42 , 46 ] and Japan [ 1 , 18 , 38 ], two from India [ 33 , 41 ] and one each from US [ 37 ] Korea [ 31 ], Turkey [ 44 ], Hong Kong [ 34 ], Germany [ 39 ] and Sweden [ 23 ]. One was a multi centre multinational study [ 36 ]. A summary of the included clinical studies is given in [ Table/Fig-3 ].

[Table/Fig-3]:

Included PRO studies related to periodontal therapy.

Authors/ Study designParticipantsPeriodontal disease defenitionIntervention/ ComparisonOHQoL Instrument
Lee JM et al., [ ] Korea (Longitudinal)33 patients Age = 24 to 61 yearsChronic periodontitisModified Widman flap surgeryOHQoL questionnaire
D’Avila GB et al., [ ], Brazil (Contolled clinical trial)60 patients Age >34 yearsEight sites with a PD >5 mm and no deeper than 10 mmDifferent NSPT , modalities 1. SRP , 2. SRP + Metronidazole, 3. SRP + Professional, plaque removal, 4. SRP +, Metronidazole + Professiona, plaque removalOHQoL questionnaire
Gamboa AB et al., [ ], UK (Prospective pilot study)33 patients Age =20 to 60 yearsMinimum of two teeth with PD > 4 mmNSPT Emotional intelligence questionnaire by Cooper and Sawaf
Ozcelik O et al., [ ], Turkey (Randomised controlled trial)182 patientsMinimum of eight teeth with attachment loss > 5 mm At least one deep intrabony defect1. NSPT 2. ST 3. ST + EMD OHIP – 14 GOHAI
Wessel JR et al., [ ] Ohio (Prospective Clinical)26 patients Age= 21 to 70 yearsGR CTG vs FGG VAS
Aslund M et al., [ ] UK (Randomised controlled trial)59 patients Age = 47 to 56 yearsMinimum of four site with > 5 mm pockets with 2 mm attachment loss in different quadrantsNSPT Piezo ceramic vs CurettesOHQoL – UK VAS SF-MPQ
Jowett AK et al., [ ] UK (Longitudinal)27 patients Age= 21 to 61 yearsPD > 4 mm in atleast one sextant24 hour root surface debridementOHIP – 14
Saito A et al., [ ] Japan (Prospective Clinical)58 patients Mean age = 53.6Min four sites with PD > 4 mm, Radio graphic evidence of bone lossSRP and oral hygiene Instructions Evaluation after three weeksOHRQL (questionnaire)
Shah M and Kumar S [ ] India (Prospective Clinical)50 dentate adults Mean age = 26 and 29 years respectively in control and study groupsAt least one proximal site with PD >4 mmSRP in test group oral hygiene instructions only in controlOHIP – 14
Saito A et al., [ ], Japan (Prospective Pilot study)21 patients Mean age = 56Moderate to severe periodontitis more than two sites with CAL >4 mm, or more than two sites with PD >5 mmPhase 1 – baseline Phase 2 (NSPT ) – OHI, SRP under LA. Phase 3 (ST ) – OFD + antibiotic +NSAIDs.OHQoL -J (Japanese version)
Nagarajan S and Chandra RV [ ], India (Longitudinal)183 patients 18–55 yearsClassified into low, moderate and high-risk groups based on PRA model1. NSPT – SRP 2. ST 3. Aggressive NSPT –SRP + local drug DeliveryOHQoL –UK (United Kingdom version)
Wong RM et al., [ ], Hong Kong (Longitudinal)65 patients 35–65 years of ageModerate to advanced chronic periodontitis More than two sites with >5 mm PD in each quadrant.NSPT – OHI, supra-/ sub-gingival SRP OHIP -4-S (questionnaire)
Brauchle F et al., [ ] Germany (Prospective Clinical)93 patients Age =27-74Control group (PD < 4 mm, CPI score 0–2), patients with CPI score of 3 (PD = 4–5 mm) and patients with CPI score of 4 (PD > 5 mm)NSPT OHIP -German version
Douglas de Oliviera DW et al., [ ] Brazil (Prospective Clinical)22 patients, 25 defects 20 to 49 years of ageMiller class I or II GR on maxillary canine or premolar. Presence of dentine hypersensitivityCAF + CTG OHIP - 14
Jonsson B and Ohrn K [ ] Sweden (Randomised Controlled Trial)87 patients 20 to 65 years of ageModerate to advanced periodontitisNSPT GOHAI OHQoL - UK
Irani FC et al., [ ] U K (Prospective)61 Type 2 diabetics 74 non diabeticsGrouped into healthy, gingivitis and periodontitis based on PD, bleeding and radiographic bone lossNSPT comparison between diabetics and non diabeticsOHIP 49
Santuchi CC et al., [ ] Brazil (Randomised Controlled Trial)90 patients 35 to 60 years of ageMild to moderate chronic periodontitisSRP vs One stage full mouth disinfectionOIDP OHQoL
Makino-Oi A et al., [ ] Japan (Prospective Clinical)76 patients above 20years oldTwo or more interproximal sites with clinical attachment ≥ 4 mm, not on the same tooth or two or more interproximal sites with probing pocket depth (PD ) ≥ 5 mm, not on the same tooth, with radiographic evidence of bone loss1. Baseline 2. After initial therapy 3. After ST or supportive periodontal therapyOHRQL (questionnaire)
Stefanini M et al., [ ] Mutli national (Longitudinal)45 patients (90 gingival recessions)Miller class I or II GR CAF vs CAF + CMX VAS

Satisfaction to treatment after modified Widman flap surgery was assessed by Lee JM et al., in chronic periodontitis patients using PRO scale and found that satisfaction parameters related to expectation of treatment outcome decreased significantly after surgical therapy [ 31 ].

Ozcelik O et al., compared the immediate postoperative QoL of periodontitis patients after non surgical, surgical and surgical plus enamel matrix derivative treatments [ 44 ]. They report that surgery alone group experienced the worst OHRQoL in the immediate postoperative period.

Postoperative comfort after root coverage surgery was compared between connective tissue graft and Free Gingival Graft (FGG) using PRO measures and reports more discomfort and pain for FGG [ 37 ]. Douglas de Oliveria DW et al., attributes the reduction in dentinal hypersensitivity as the reason for the improvement of QoL after root coverage surgery [ 40 ]. Irrespective of the procedure used, root coverage surgery significantly improved QoL scores posttreatment [ 36 ].

Aslund M et al., supports the concept that periodontitis may negatively affect a patient’s QoL and that non surgical treatment may improve it [ 45 ]. D’Avila GB et al., and Santuchi CC et al., reported that regardless of the protocol used, non surgical periodontal treatment led to significant reduction of self perceived impacts [ 42 , 46 ].

Four more studies were in agreement that non-surgical therapy improves QoL in periodontitis patients [ 32 , 34 , 38 , 41 ]. Patients with severe periodontal disease showed better improvement in QoL after therapy when compared to those with mild or moderate disease [39]. Brauchle F et al., reported the influence of age, gender and tobacco consumption on OHRQoL [ 39 ].

One study compared the impact of periodontal surgery with that of initial therapy (non surgical therapy) on QoL [ 18 ]. Both treatments improved OHRQoL. But the QoL didn’t significantly improve in the interval between post initial therapy and after surgery. Makino-Oi A et al., also reported the positive effect of initial therapy in bringing about OHRQoL improvement compared to subsequent non surgical or surgical therapy [ 1 ].

Nagarajan S and Chandra RV et al., assessed the impact of various OHRQoL items among three risk groups based on periodontal risk assessment -PRA model and showed that in moderate and high risk groups surgical and non surgical treatment resulted in QoL improvement when compared to low risk groups [ 33 ].

Jonsson B and Ohrn K et al., reported that NSPT resulted in QoL improvements beyond the MID in 46%-50% of patients [ 23 ]. One study assessed the effect of Type 2 diabetes on OHRQoL [ 35 ]. The QoL of non diabetic patients improved after non surgical periodontal treatment significantly, but in diabetics, there was no statistically significant change on OHRQoL scores after periodontal therapy.

Two systematic reviews on the topic were obtained [ 2 , 47 ]. The focussed question of the systematic review by Shanbhag S et al., was “Does surgical or non surgical periodontal therapy improve the OHRQoL in adults with periodontal disease”? The results of 11 studies reviewed suggested that all forms of nonsurgical therapy can improve the OHRQoL immediately after treatment as well as at 12 months. The ES of improvement ranges from small, medium to large among the studies reviewed. The OHRQoL domains that improve after periodontal therapy are those of function, psychology and pain. Surgical therapy does not have significant additional benefit on those who have received non-surgical therapy [ 2 ].

Buset SL et al., investigated the effect of gingivitis and periodontitis on OHRQol in a recent systematic review [ 47 ]. Twenty eight studies reported a significant association between periodontal disease and QoL. Eight studies point to increasing impacts with increased disease severity. The review also included articles that assessed the effect of periodontal therapy on QoL, even though it was not the primary objective [ 2 , 18 , 32 , 38 , 39 , 45 ].

The results from the included studies suggested that both surgical and NSPT can potentially improve the QoL of patients. Root coverage procedures like connective tissue grafts improved OHRQoL of patients with recession irrespective of the amount of root coverage attained. Surgical therapy didn’t result in significant additional improvement in QoL scores when compared to initial therapy. Gingivitis and periodontitis are associated with reduced QoL compared to periodontal health. OHRQoL of patients with periodontal disease improved significantly after periodontal treatment. The only study on diabetic subjects suggested that Type 2 diabetes has no impact on OHRQoL [ 35 ].

Patient centred outcome assessment- advantages and disadvantages: Patients self-report is a simple, convenient and less expensive mechanism for getting primary information related to therapeutic success. However such measures are heavily influenced by their personal beliefs, cultural background, social, educational and environmental factors. They often provide contrasting assessment from those of clinically determined metrics. Generally patients are less likely to assess adequately their periodontal status than the condition of restoration or status of teeth. Therefore, the patients self-report of their periodontal health may not be corresponding to the clinically determined measures. There is enough evidence [ 48 , 49 ] to show that the self-reported periodontal status is less predictive and thus less reliable. Moreover, self-reported measures are subjected to participants reporting biases. But when used to assess success of periodontal therapy in a clinical and research setting, PRO measures offer several advantages. Patient-based outcomes were identified as a research priority at the 2003 World Workshop on Emerging Science in Periodontology [ 50 ]. A validated PRO measure calibrated to normative clinical indicators is highly useful [ 48 ]. In clinical research situations where full mouth periodontal examination is impractical, validated PRO instruments are useful in determining periodontal health status. A simple and accurate PRO instrument is inexpensive and highly practical in clinical trials. Thus, it can be used in resource poor settings where expense is a concern.

The search didn’t include articles from Embase due to inaccessibility. Articles only in English language were included. Due to the heterogenicity of the variables meta analysis could not be performed.

Until recently, PRO have been largely neglected in periodontal therapeutic research. Studies have shown that PRO measures like treatment satisfaction and QoL are more relevant to patients than clinical changes in PPD or CAL. Evidence suggests that PRO add value to periodontal clinical practice and research. Both non surgical and surgical periodontal treatment improved OHRQoL. However, the improvement affected by surgical therapy after initial therapy is not significant. There is a need for a specific PRO scale that could potentially tap the entire dimension of the change in patients perception brought about by periodontal therapy. More longitudinal studies using scales with good responsiveness are needed to strengthen the evidence.

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Microbial- and host immune cell-derived extracellular vesicles in the pathogenesis and therapy of periodontitis: A narrative review

Affiliations.

  • 1 School of Dentistry, Center for Oral-facial Regeneration, Rehabilitation and Reconstruction (COR3), Epigenetics Nanodiagnostic and Therapeutic Group, The University of Queensland, Brisbane, Queensland, Australia.
  • 2 School of Dentistry, The University of Queensland, Brisbane, Queensland, Australia.
  • PMID: 38758729
  • DOI: 10.1111/jre.13283

Periodontitis is a chronic inflammatory disease caused by dysbiotic biofilms and destructive host immune responses. Extracellular vesicles (EVs) are circulating nanoparticles released by microbes and host cells involved in cell-to-cell communication, found in body biofluids, such as saliva and gingival crevicular fluid (GCF). EVs are mainly involved in cell-to-cell communication, and may hold promise for diagnostic and therapeutic purposes. Periodontal research has examined the potential involvement of bacterial- and host-cell-derived EVs in disease pathogenesis, diagnosis, and therapy, but data remains scarce on immune cell- or microbial-derived EVs. In this narrative review, we first provide an overview of the role of microbial and host-derived EVs on disease pathogenesis. Recent studies reveal that Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans-derived outer membrane vesicles (OMVs) can activate inflammatory cytokine release in host cells, while M1 macrophage EVs may contribute to bone loss. Additionally, we summarised current in vitro and pre-clinical research on the utilisation of immune cell and microbial-derived EVs as potential therapeutic tools in the context of periodontal treatment. Studies indicate that EVs from M2 macrophages and dendritic cells promote bone regeneration in animal models. While bacterial EVs remain underexplored for periodontal therapy, preliminary research suggests that P. gingivalis OMVs hold promise as vaccine candidates. Finally, we acknowledge the current limitations present in the field of translating immune cell derived EVs and microbial derived EVs in periodontology. It is concluded that microbial and host immune cell-derived EVs have a role in periodontitis pathogenesis and hence may be useful for studying disease pathophysiology, and as diagnostic and treatment monitoring biomarkers.

Keywords: extracellular vesicles; immune cells derived EVs; inflammatory response; microbial EVs; pathogenesis; periodontitis; therapy.

Journal of Periodontal Research© 2024 The Authors. Journal of Periodontal Research published by John Wiley & Sons Ltd.

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ImageJ Software in Periodontics: An Insight

Aditya, Vangara; Vandana, Kharidhi Laxman 1

Private Practitioner, Consultant Periodontist and Implantologist, Hyderabad, Telangana, India

1 Department of Periodontics, Former Associate Dean Academics, NAAC Editor, CODSJOD, College of Dental Sciences, Davanagere, Karnataka, India

Address for correspondence: Dr. Kharidhi Laxman Vandana, Department of Periodontics, Former Associate Dean Academics, NAAC Editor, CODSJOD, College of Dental Sciences, Davanagere, Karnataka, India. E-mail: [email protected]

This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 4.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

There are various conventional radiological parameters for measuring the periodontal pocket depth apart from clinical measurements such as intraoral periapical radiograph, orthopantomogram and digital such as radiovisiography (RVG), and cone-beam computed tomography (CBCT) to an extent. As CBCT is highly recommended in the field of dentistry, especially in periodontics for an accurate measurement of remaining alveolar bone present from crest to apical region three dimensionally. Many patients cannot afford CBCT due to its cost-effectiveness and time-consuming procedure, and hence, a software was introduced to limit radiation exposure, where all preoperative and postoperative RVGs were placed in a software to measure its osseous defect and bone formation. This technique is introduced to reduce the exposure time to patients as well as for diagnosis of osseous defects radiographically to clinicians. This software can also be used in other fields of dentistry also. The main objective of this short communication is to create awareness regarding the availability of such a tool and recommend its application in periodontal regeneration clinical trials.

The radiographic measurements in any periodontal pocket therapy serve as a useful adjunct to clinical measurements. The traditional intraoral periapical radiograph (IOPA) followed by orthopantomogram (OPG) and radiovisiography (RVG) is well utilised in a routine clinical trial. The present day cone-beam computed tomography (CBCT) is stepping into periodontics with mixed opinion on its usefulness due to high cost and heavy radiation. The measurements of the osseous defect changes must be made with a minimum amount of error, dependability, repeatability, and economic considerations are the main factors that control radiographic measurements regardless of the method of imaging employed. With advancements in digital dentistry, one of the software or tools available is ImageJ analyzer software (Version 1.38).

In the field of periodontics, the use of radiographs from simple IOPA, grid IOPA, RVG, subtraction radiography, and OPG are well utilized. The digital advancement introduced the RVG which helped the periodontists to comprehend the periodontal osseous changes better during clinical trials. Further enhancement allowed the periodontist to utilize CorelDRAW on the digitalized radiographic images to have radiographic measurements from the designated hard tissue landmarks during the clinical trial. The great advantage provided in CorelDRAW is the tools to measure the defect changes in millimeter and fraction of millimeters.

Currently, the radiographic periodontal parameters used are linear measurements which quantify the bone changes from designated landmarks such as cementoenamel junction (CEJ), alveolar crest, and base of the defect. The radiographic linear measurements can be considered quantitative in nature which include:

(1) The distance from CEJ to the alveolar crest that expresses any alveolar crestal changes before and after treatment, (2) the distance from CEJ to the base of the defect that expresses the amount of bone formed at the base of the defect before regenerative treatment, and (3) the distance from the alveolar crest to the base of the defect. From these three measurements, the defect will be expressed using a specific formula. These three linear measurements are further supported by two more measurements such as defect angle [ 1 ] and defect area measurements. [ 1 ] Various radiographic measurements in a single periodontal osseous defect using ImageJ software had been considered [ Table 1 ].

T1

To confirm the new bone formation and its density changes, invasive reentry and histological methods are the traditional approaches to qualitatively measure the new bone regenerated. The reentry and histological methods cannot be utilized during clinical trials due to ethical issues and noncompliance by the patient. The quantitative radiographic periodontal linear measurements are recorded by manual methods using a ruler, vernier caliper, or by acceptance of a grid. Hence, these are subjected to human errors, not reproducible, and not so dependable. The qualitative bone density measurement using histological methods cannot be a part of the routine clinical trial as histologic evaluation requires removal of a tooth with periodontium after successful treatment.

These inherent drawbacks associated with traditional quantitative linear and qualitative radiographic periodontal parameters are overcome by the implication of a software tool called ImageJ. The National Institutes of Health and the Laboratory for Optical and Computational Instrumentation created the Java-based image processing software called ImageJ (LOCI, University of Wisconsin).

Bone healing is an important subject in various fields of dentistry such as prosthodontics, periodontics, surgery, and implants. Out of the aforementioned methods, clinical method (e.g., probing) and adjunctive radiographic method practically aid the clinician to evaluate the outcome of periodontal therapy, whereas histologic and surgical reentry are least embraced methods.

The complete set of radiographic periodontal parameters can be assessed using ImageJ analyzer. ImageJ is a user-friendly, cost-effective, reliable, and reproducible software useful in assessment of periodontal regeneration. It is less time-consuming compared to manual methods. The success of the therapy may be evaluated noninvasively with the use of linear measures and density changes that are simply computed using user-friendly software. [ 1 ] The linear measurements performed using ImageJ are presented in Figure 1 .

F1

Area of the defect is being dealt with for the first time in periodontal regenerative techniques. The specific changes that occur in the base of the defect can be addressed using the changes in area at different intervals instead of linear measurements [ Figure 2 ].

F2

An original RVGs had been put before sending it to ImageJ software at baseline and 1 year [ Figure 3 ].

F3

The bone density changes which are shown in various intervals are an eye-opener for the measurement of periodontal regenerative techniques. The density measurements using a histogram are shown in Figure 4 .

F4

The main objective of this short communication is to create awareness regarding the availability of such a tool and recommend its application in periodontal regeneration clinical trials.

Currently, ImageJ software is successfully utilized in two clinical studies that are as stem cell assistance in periodontal regeneration technique by Shalini HS and Vandan KL 2018 [ 1 ] and interdental papilla treatment by Singh S and Vandana KL 2019. [ 2 ] It is also been utilized to measure dentinal tubules by Neha M and Vandana KL 2015. [ 3 ]

Any clinical study where the bone is the target tissue to be evaluated at various time points should make use of this software. It can find clinical applications including endodontic periapical cyst therapy, implant, oral and maxillofacial surgery, and orthopedic surgeries. It serves as a simple and affordable objective tool for bone regeneration assessment.

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There are no conflicts of interest.

Acknowledgment

Thanks to Dr. Shalini HS and Dr. Aswin PS for their academic support.

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  • Published: 07 October 2024

Clinical trial landscape for periodontitis treatment: Trend analysis and future perspectives

  • Zhengrui Li   ORCID: orcid.org/0000-0003-4923-0088 1 ,
  • Jing Li 2 &
  • Xufeng Huang 3  

Journal of Translational Medicine volume  22 , Article number:  907 ( 2024 ) Cite this article

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Dear editor,

Periodontitis, particularly chronic periodontitis, is a common chronic inflammatory disease affecting both oral and systemic health, often leading to alveolar bone resorption and loss of periodontal attachment [ 1 , 2 ]. Recent studies have demonstrated a close relationship between periodontitis and the onset and progression of systemic diseases, making the prevention and treatment of periodontitis crucial for overall health [ 4 ]. Currently, periodontal treatment mainly relies on ultrasonic scaling and periodontal debridement [ 5 ]. However, with the development of stem cells, traditional Chinese medicine, and other biomedical approaches, many new interventions have emerged in recent years, challenging conventional invasive treatment methods [ 3 ].

The clinical trial landscape of periodontitis reflects the recent development and evaluation of clinical interventions, providing deep insights into the latest treatment strategies, research trends, and future directions. On September 1, 2024, we conducted a database search using the keyword “periodontitis,” excluding non-interventional clinical trials, and identified 248 clinical trials. These trials were categorized based on their phase, status, and treatment type to evaluate their development trends (Supplementary Table 1 ).

In recent years, the number of clinical trials has remained relatively stable, reaching a peak in 2024, although the decline over the past two years may be attributed to the impact of the COVID-19 pandemic. These clinical trials cover different research phases, particularly Phase II and beyond (Fig.  1 A), with Phase IV trials dominating, comprising 69 studies focused on post-market surveillance and safety. Phase III trials include 66 studies (17.5%) validating efficacy, while Phase II trials also represent a significant proportion (50 studies, 20.1%). The lower proportion of early-phase trials may indicate market saturation or the challenges of early research. The proportions of Phase I and Phase 0 trials are 9.6% (24 studies) and 7.2% (18 studies), respectively. Currently, most clinical trials have been completed and will soon enter clinical application, indicating a new breakthrough in periodontitis treatment (Fig.  1 B). The number of trials related to supplements (including dietary supplements) and natural products (81 trials, 32.66%) suggests an increasing interest in non-invasive or dietary interventions (Fig.  1 C). Meanwhile, traditional local treatment methods remain the mainstay of periodontitis treatment, accounting for 16.13% (47 trials) of the studies. Research on other categories is less common, reflecting a diverse yet non-dominant research landscape. Among all trials related to supplements and natural products, natural products continue to dominate (Fig.  1 D), particularly products such as curcumin, resveratrol, aloe vera, and so on. As research on oral microbiota deepens, studies on prebiotics, probiotics, and related products are gradually emerging, further highlighting their role in inflammation management.

figure 1

The Clinical Trial Landscape for Periodontitis. ( A ) Distribution and status of clinical trials across different phases (A significant increase in clinical trials began after 2018). ( B ) Distribution and status of clinical trials across different phases from 2018 to 2024. ( C ) Interventional clinical trials for periodontitis categorized by treatment type. ( D ) Main components within the supplements and natural products category

However, this analysis has certain limitations, primarily due to incomplete and biased data in clinical trial databases, as not all trials are registered or detailed. To mitigate this issue, we also searched government databases. Nevertheless, the lack of start dates hindered the analysis of annual trends. Additionally, the challenge of separating drug effects in multi-drug trials complicates classification and data interpretation. In future research, advanced statistical methods and subgroup analysis can help clarify the contribution of each drug in combination therapies.

This evaluation reveals that the clinical trial landscape for periodontitis treatment is undergoing significant changes. Although traditional invasive local treatment methods still hold an important position, increasing research is focusing on non-invasive or natural product interventions, indicating that clinical practice is gradually shifting towards safer and more patient-friendly approaches. This trend challenges existing periodontitis treatment theories, necessitating a reassessment of current treatment models and consideration of how to integrate these emerging non-invasive interventions into standard care.

Although the number of studies on supplements and natural products is increasing, large-scale, long-term clinical trials are still needed to verify their efficacy and safety. These studies should focus on understanding the mechanisms of these interventions to better grasp how they affect the progression of periodontitis. Since the etiology and progression of periodontitis may be influenced by factors such as race, diet, and environment, multi-center and international clinical trials will help evaluate the treatment effects on different populations and determine the best treatment strategies worldwide. As combination therapies rise, future research should aim to optimize the combination of different drugs and interventions to maximize therapeutic effects while minimizing side effects. This may require the application of advanced statistical and machine learning methods to analyze complex datasets and determine the optimal treatment regimen.

Data availability

All data used and/or analyzed in this manuscript are publicly available in the clinical trial database ( https://clinicaltrial.gov/ ).

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The present evaluation was supported by the University of Debrecen Program for Scientific Publication, Shanghai Stomatological Hospital, and Shanghai Jiao Tong University School of Medicine.

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Zhengrui Li

Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, 200001, China

Faculty of Dentistry, University of Debrecen, Egyetem ter 1, Debrecen, 4032, Hungary

Xufeng Huang

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Zhegnrui: Conceptualization; methodology; software; validation; formal analysis; investigation; data curation; writing – original draft; project administration. Jing Li: Conceptualization; methodology; software; validation; formal analysis; investigation; data curation; writing – original draft. Xufeng Huang: Funding acquisition; methodology; resources; writing – review and editing; supervision. All authors read and approved the final manuscript.

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Li, Z., Li, J. & Huang, X. Clinical trial landscape for periodontitis treatment: Trend analysis and future perspectives. J Transl Med 22 , 907 (2024). https://doi.org/10.1186/s12967-024-05697-4

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Received : 07 September 2024

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DOI : https://doi.org/10.1186/s12967-024-05697-4

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