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Dataset Information

Multivariable prediction models of caries increment: a systematic review and critical appraisal.


ABSTRACT:

Background

Multivariable prediction models are used in oral health care to identify individuals with an increased likelihood of caries increment. The outcomes of the models should help to manage individualized interventions and to determine the periodicity of service. The objective was to review and critically appraise studies of multivariable prediction models of caries increment.

Methods

Longitudinal studies that developed or validated prediction models of caries and expressed caries increment as a function of at least three predictors were included. PubMed, Cochrane Library, and Web of Science supplemented with reference lists of included studies were searched. Two reviewers independently extracted data using CHARMS (Critical Appraisal and Data Extraction for Systematic R

SUBMITTER: Havsed K 

PROVIDER: S-EPMC10614348 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature