Constructing a Risk Prediction Model of Breast Cancer-related Lymphedema Based on a Meta-analysis of Prospective Cohort Studies

• Published in: Zhongguo quanke yixue Vol. 26; no. 17; pp. 2078 - 2088
• Main Author: SHEN Aomei, LU Qian, FU Xin, WEI Xiaoxia, BIAN Jingru, ZHANG Liyuan, QIANG Wanmin, PANG Dong
• Format: Journal Article
• Language: Chinese
• Published: Chinese General Practice Publishing House Co., Ltd 01.06.2023
• Subjects: breast cancer lymphedema|breast neoplasms|risk factors|prediction model|meta-analysis|prospective cohort studies
• ISSN: 1007-9572
• DOI: 10.12114/j.issn.1007-9572.2022.0827

Background Lymphedema is a common chronic complication bothering breast cancer patients. Early assessment and prediction of the risk for developing breast cancer-related lymphedema (BCRL) is particularly important. However, there is still a lack of an authoritatively recognized and suitably promoted risk prediction model.Objective To construct and validate a risk prediction model for BCRL based on the results of a meta-analysis.Methods Electronic databases including PubMed, Embase, CINAHL, Scopus, Web of Science, Cochrane Library, CNKI, CBM, and Wanfang Data, were searched for prospective cohort studies on risk factors of BCRL from inception to November 2021. Two systematically trained researchers independently screened the literature, extracted data, and assessed the study quality using the Newcastle-Ottawa Scale. Stata 17.0 was used for meta-analysis. The risk factors with significant pooled effect size and their combined risk value were extracted to construct the Logistic risk prediction model. The Logisti