Prediction models for breast cancer-related lymphedema: a systematic review and critical appraisal.

ABSTRACT:

Purpose

The development of risk prediction models for breast cancer lymphedema is increasing, but few studies focus on the quality of the model and its application. Therefore, this study aimed to systematically review and critically evaluate prediction models developed to predict breast cancer-related lymphedema.

Methods

PubMed, Web of Science, Embase, MEDLINE, CNKI, Wang Fang DATA, Vip Database, and SinoMed were searched for studies published from 1 January 2000 to 1 June 2021. And it will be re-run before the final analysis. Two independent investigators will undertake the literature search and screening, and discrepancies will be resolved by another investigator. The Prediction model Risk Of Bias Assessment Tool will be used to assess the prediction models' risk of bias a

SUBMITTER: Lin Q 

PROVIDER: S-EPMC9559764 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature