Evidence map›Paper›PMID 40781755›Full record

SynthesisJournal of clinical periodontology2025

Diagnostic Accuracy of Self-Reported Questionnaires for Detecting Periodontitis Across Multiple Cultures and Geographic Locations: A Systematic Review and Meta-Analysis.

Mengning Bi, Yu Xie, Xiaoyu Yu, Hairui Li, Yuan Li, Maurizio S Tonetti

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of clinical periodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mengning BiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu XieShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-8713-8947
Xiaoyu YuShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hairui LiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuan LiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-0133-7516
Maurizio S TonettiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2743-0137

Funding

Project of Biobank YBKA202207Project of Biobank YBKB202102Shanghai Municipal Education Commission 22SG14Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of MedicineShanghai Rising Star Project 22QA1405200Shuguang Program of Shanghai Education Development Foundation
6 · The paper itself

Abstract

objectiveTo evaluate self-reported questionnaires' intrinsic validity and diagnostic accuracy for detecting periodontitis across diverse cultural and geographic contexts. MATERIALS AND

methodsElectronic searches were conducted in PubMed, Embase and the Cochrane Library until 4 March 2025. Studies included those using the Centers for Disease Control and Prevention and the American Academy of Periodontology (CDC/AAP) criteria or the 2017 World Workshop classifications as reference standards and reporting the diagnostic accuracy of self-reported questionnaire items. The validity of the eight-item questionnaire developed by the CDC/AAP was assessed by analysing the proportion of answers, and bias was evaluated using the QUADAS-2 tool. Owing to the limited number of studies using the 2017 World Workshop classifications, the quantitative synthesis was restricted to those using the CDC/AAP criteria. Sensitivity, specificity, diagnostic odds ratio (DOR) and 95% confidence intervals (CIs) were calculated for total periodontitis (including mild, moderate and severe cases), moderate-to-severe periodontitis and severe periodontitis.

resultsTotally, 23 studies (from 22 articles) were included in the systematic review, with 16 studies (from 15 articles) eligible for meta-analysis. The 'Don't know/Refused' option across the eight items of the CDC/AAP questionnaire ranged from 0% to 46.1%, indicating variable comprehension of certain items. Pooled sensitivity and specificity across the questionnaire items ranged from 17% to 82% and from 23% to 97%, respectively. DOR varied from 0.75 (95% CI: 0.54-1.03) to 8.01 (95% CI: 2.33-27.45). Significant heterogeneity was observed for most questions.

conclusionsSelf-reported questionnaires show potential for monitoring periodontitis but face issues with sensitivity and cross-cultural validity. Future research should focus on culturally adaptive designs and standardised validation protocols to enhance diagnostic accuracy and improve their effectiveness in global periodontal health screening.

Indexed as

PeriodontitisSelf ReportHumansReproducibility of ResultsSensitivity and SpecificitySurveys and Questionnairesdiagnostic trialsmeta‐analysisperiodontitis/diagnosisscreeningself‐reported questionnairessystematic review

Identifiers

PMID40781755
PMCPMC12531362

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.