Evidence map›Paper›PMID 41373110›Full record

ArticleJournal of periodontology2026

aMMP-8 self-testing and self-administered questionnaires for periodontitis screening: A diagnostic trial in a Chinese population.

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

Abstract read
In one paragraph

Article in Journal of periodontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

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.
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.
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.
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.
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 https://orcid.org/0000-0002-2743-0137

Funding

National Science Foundation of China 82301157Project of Biobank from Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine YBKA202207Project of Biobank from Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine YBKB202102Shanghai Rising Star 22QA1405200Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission 22SG14
6 · The paper itself

Abstract

backgroundLimited awareness, clinical barriers, and persistent high prevalence make large-scale detection of periodontitis challenging, creating demand for simple, affordable, and population-level screening strategies outside traditional dental settings. This study evaluates the diagnostic performance of self-test activated matrix metalloproteinase-8 (aMMP-8) for identifying periodontitis and assesses the feasibility of a fully self-reported screening model compared with models based on quantitative aMMP-8 point-of-care test (POCT) results.

methodsIn this cross-sectional diagnostic study, we evaluated the diagnostic performance of three index tests: self-performed or POCT aMMP-8 alone on an oral rinse sample, or in combination with a questionnaire. Periodontitis status was determined using radiographic bone loss according to the 2017 classification, as stages III-IV or stages II-IV. Binary logistic regression models were developed using least absolute shrinkage and selection operator regularization and 5-fold cross-validation. Model performance was assessed by area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and accuracy.

resultsA total of 566 participants were included, and 41.7% were diagnosed with stages II-IV periodontitis. Both self-test and quantitative aMMP-8 results were significantly associated with periodontitis. In univariable models, self-test aMMP-8 showed lower AUROC than quantitative results. However, adding questionnaires and demographic factors in multivariable models improved the diagnostic performance of self-test and minimized the gap between the two. The final multivariable models showed comparable performance for self-test aMMP-8-based (AUROC = 0.955) and quantitative aMMP-8-based (AUROC = 0.957) models in stages III-IV periodontitis prediction, with similar results for stages II-IV periodontitis.

conclusionThis study showed that a self-test aMMP-8-based multivariable diagnostic model can perform similarly to a quantitative aMMP-8 POCT-based one. Once further developed and validated, a fully self-reported diagnostic model can provide a potential tool for periodontitis screening. PLAIN LANGUAGE SUMMARY: This study examined whether a simple, self-administered mouth rinse test could aid in identifying individuals with advanced gum disease. Over 550 adults participated, and approximately 42% were found to have severe gum disease. We discovered that the self-test alone was less accurate than a more detailed machine-based quantitative reading. However, when combined with a questionnaire about dental health and basic personal information, the accuracy of detection improved a lot. These combined methods performed well and were similar to using only the machine results. Our results suggest that a simple screening approach, which includes a self-test, a questionnaire, and personal details, could be an inexpensive and easy-to-use tool for community health screenings to identify severe gum disease early. Further research is needed to test this method in various populations and confirm its effectiveness in real-world settings for identifying gum disease and promoting early dental care.

Indexed as

Mass ScreeningMatrix Metalloproteinase 8PeriodontitisAdultChinaCross-Sectional StudiesEast Asian PeopleFeasibility StudiesFemaleHumansMaleMiddle AgedPoint-of-Care TestingSensitivity and SpecificitySurveys and QuestionnairesMatrix Metalloproteinase 8MMP8 protein, humandiagnosismatrix metalloproteinase‐8periodontitisself‐report

Identifiers

PMID41373110
PMCPMC13350311

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Registered trials

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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.