Prediction Models for Prognosis of Cervical Cancer: Systematic Review and Critical Appraisal.

ABSTRACT: Objective: This work aims to systematically identify, describe, and appraise all prognostic models for cervical cancer and provide a reference for clinical practice and future research. Methods: We systematically searched PubMed, EMBASE, and Cochrane library databases up to December 2020 and included studies developing, validating, or updating a prognostic model for cervical cancer. Two reviewers extracted information based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies checklist and assessed the risk of bias using the Prediction model Risk Of Bias ASsessment Tool. Results: Fifty-six eligible articles were identified, describing the development of 77 prognostic models and 27 external validation efforts.

SUBMITTER: He B 

PROVIDER: S-EPMC8137851 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature