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Combining self-reported information with radiographic bone loss to screen periodontitis : a performance study

datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorMendes, José João
dc.contributor.authorNeves, Margarida
dc.contributor.authorSupiot, Clara
dc.contributor.authorPinto, Leonor
dc.contributor.authorTenda, Diogo
dc.contributor.authorSilva, Nuno
dc.contributor.authorProença, Luís
dc.contributor.authorLeira, Yago
dc.contributor.authorMachado, Vanessa
dc.contributor.authorBotelho, João
dc.date.accessioned2026-04-29T15:53:07Z
dc.date.available2026-04-29T15:53:07Z
dc.date.issued2025-07
dc.description.abstractBackground/Objectives: The objective of this study is to evaluate the diagnostic performance of a combined screening approach using self-reported periodontal information and radiographic periodontal bone loss (R-PBL) in identifying individuals with periodontitis. Methods: An exploratory cross-sectional study was conducted including adult participants with available panoramic radiographs and responses to a validated self-reported periodontal screening questionnaire. R-PBL was assessed on interproximal sites and classified according to established thresholds. Self-reported information followed a validated strategy based on the Center for Diseases Control tool. The performance of individual and combined indicators was analyzed against the 2018 case definition for periodontitis, calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: A total of 150 participants were included, equally divided between periodontitis cases and controls, with a mean age of 46.5 years. The R-PBL model demonstrated the best predictive performance for both periodontitis (AUC: 0.833) and severe periodontitis (AUC: 0.796), with the highest precision and net benefit across thresholds. The Either model showed similar performance, particularly in sensitivity, while SR and Both models underperformed. Decision curve analysis confirmed the superior clinical utility of ‘R-PBL’ and ‘Either’ models in guiding decision-making. Conclusions: Combining self-reported information with radiographic bone loss showed adequate screening performance for periodontitis. This dual approach may provide a feasible strategy for identifying high-risk individuals in settings where full clinical examination is not possible.eng
dc.identifier.citationMendes JJ, Neves M, Supiot C, Pinto L, Tenda D, Silva N, Proença L, Leira Y, Machado V, Botelho J. Combining Self-Reported Information with Radiographic Bone Loss to Screen Periodontitis: A Performance Study. Journal of Clinical Medicine. 2025; 14(13):4531. https://doi.org/10.3390/jcm14134531
dc.identifier.doi10.3390/jcm14134531
dc.identifier.issn2077-0383
dc.identifier.urihttp://hdl.handle.net/10400.26/62958
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.hasversionhttps://doi.org/10.3390/jcm14134531
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPeriodontitis
dc.subjectperiodontal disease
dc.subjectprediction model
dc.subjectoral health
dc.subjectradiographic periodontal bone loss
dc.subjectself-report
dc.titleCombining self-reported information with radiographic bone loss to screen periodontitis : a performance studyeng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.issue13
oaire.citation.startPage4531
oaire.citation.titleJournal of Clinical Medicine
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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