What question did this study set out to answer?

The aim is to systematically review existing risk prediction models for oral frailty in elderly individuals.

May 19, 20260 citationsOpen Access

Risk-predicting models for oral frailty in the elderly: a systematic review

Key Points

The aim is to systematically review existing risk prediction models for oral frailty in elderly individuals.
Developed and implemented a comprehensive search strategy across multiple databases including PubMed and the Cochrane Library.
Included studies that focus on risk-predicting models for oral frailty among older adults.
Employed the PCC framework and CHARMS checklist for data extraction and assessment.
Identified several models that demonstrate varying effectiveness in predicting oral frailty.
Assessed the risk of bias in included studies using the PROBAST tool, revealing substantial differences in applicability.
Highlighted gaps in current literature regarding the reliability of existing models across diverse elderly populations.

Abstract

Objective: To systematically review the risk prediction models for oral frailty in the elderly. Methods: A search strategy will be developed and implemented to review literature across PubMed, Web of Science, the Cochrane Library, China Knowledge Resource Integrated Database (CNKI), Wanfang Data, Chinese Biomedical Database (CBM), and Weipu Database (VIP). Studies developing the risk-predicting models for oral frailty among older adults will be included. This study will follow the PCC framework (Population, Concept, Context), and extract data using the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) checklist. The risk of bias and applicability of the included studies will be assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST).

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