Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/117399
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dc.contributor.authorDu, M.en
dc.contributor.authorBo, T.en
dc.contributor.authorKapellas, K.en
dc.contributor.authorPeres, M.en
dc.date.issued2018en
dc.identifier.citationJournal of Clinical Periodontology, 2018; 45(12):1408-1420en
dc.identifier.issn0303-6979en
dc.identifier.issn1600-051Xen
dc.identifier.urihttp://hdl.handle.net/2440/117399-
dc.description.abstractAIMS:To comprehensively review, identify and critically assess the performance of models predicting the incidence and progression of periodontitis. METHODS:Electronic searches of the MEDLINE via PubMed, EMBASE, DOSS, Web of Science, Scopus and ProQuest databases, and hand searching of reference lists and citations were conducted. No date or language restrictions were used. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist was followed when extracting data and appraising the selected studies. RESULTS:Of the 2,560 records, five studies with 12 prediction models and three risk assessment studies were included. The prediction models showed great heterogeneity precluding meta-analysis. Eight criteria were identified for periodontitis incidence and progression. Four models from one study examined the incidence, while others assessed progression. Age, smoking and diabetes status were common predictors used in modeling. Only two studies reported external validation. Predictive performance of the models (discrimination and calibration) was unable to be fully assessed or compared quantitatively. Nevertheless, most models had 'good' ability to discriminate between people at risk for periodontitis. CONCLUSIONS:Existing predictive modelling approaches were identified. However, no studies followed the recommended methodology, and almost all models were characterized by a generally poor level of reporting. This article is protected by copyright. All rights reserved.en
dc.description.statementofresponsibilityMi Du, Tao Bo, Kostas Kapellas, Marco A Peresen
dc.language.isoenen
dc.publisherWileyen
dc.rights© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.en
dc.subjectperiodontitis; prediction; risk factors; systematic reviewen
dc.titlePrediction models for the incidence and progression of periodontitis: a systematic reviewen
dc.typeJournal articleen
dc.identifier.rmid0030101967en
dc.identifier.doi10.1111/jcpe.13037en
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1113098en
dc.identifier.pubid445780-
pubs.library.collectionDentistry publicationsen
pubs.library.teamDS10en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidDu, M. [0000-0002-2237-9918]en
dc.identifier.orcidKapellas, K. [0000-0002-3761-9953]en
dc.identifier.orcidPeres, M. [0000-0002-8329-2808]en
Appears in Collections:Dentistry publications

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