Predictive models for chemotherapy-induced oral mucositis: a systematic review.

ABSTRACT:

Objective

To critically appraise and synthesise existing risk prediction models for chemotherapy-induced oral mucositis (CIOM) in cancer patients, identifying their methodological strengths, limitations, and clinical utility to guide future model refinement.

Methods

Relevant literature on CIOM risk prediction models published in PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang Data Knowledge Service Platform, VIP, and CBM was searched, covering the period from the inception of the databases to May 9, 2025. Researchers independently screened the literature and extracted data, utilising the Prediction Model Risk Of Bias Assessment Tool (PROBAST) to evaluate the quality of the models.

Result

After deduplication, a total of 3,603 articles were identified, e

SUBMITTER: Tao Y 

PROVIDER: S-EPMC12404939 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature