The prevalence of frailty among breast cancer patients: a systematic review and meta-analysis

• Published in: Supportive care in cancer Vol. 30; no. 4; pp. 2993 - 3006
• Main Authors: Wang, Shurui, Yang, Ting, Qiang, Wanmin, Shen, Aomei, Zhao, Zihan, Yang, Huili, Liu, Xiaofeng
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2022; Springer; Springer Nature B.V
• Subjects: Accidental Falls; Aged; Analysis; Breast cancer; Breast Neoplasms - epidemiology; Cancer patients; Care and treatment; Development and progression; Epidemiology; Female; Frail Elderly; Frailty; Frailty - epidemiology; Health aspects; Health risks; Humans; Medical research; Medicine; Medicine & Public Health; Medicine, Experimental; Meta-analysis; Mortality; Nursing; Nursing Research; Oncology; Pain Medicine; Prevalence; Rehabilitation Medicine; Review Article; Frailty; Systematic review; Prevalence; Breast neoplasm; Meta-analysis
• ISSN: 0941-4355; 1433-7339
• DOI: 10.1007/s00520-021-06641-8

Purpose Coexistence of frailty and breast cancer (BC) is related to a higher risk of hospitalization, mortality, and falls. Given the potential reversibility of frailty, investigating its epidemiology in BC is of great importance. However, estimates of the prevalence of frailty in BC patients vary considerably. We synthesized the existing body of literature on the prevalence of frailty among BC patients. Methods We searched English databases (Cochrane Library, PubMed, Medline, CINAHL, Embase, Scopus, and Web of Science) and Chinese databases (CNKI, WanFang, CBM, and VIP database) from the inception to April 15, 2021, and collected observational studies about the prevalence of frailty among BC patients. The robustness of the pooled estimates was validated by analysis of different subgroups, meta-regression, and sensitivity. All data were analyzed using Stata 15.1. Results In total, 4645 articles were screened and data from 24 studies involving 13,510 subjects were used in the meta-analysis. The prevalence of frailty among BC patients in individual studies varied from 5 to 71%. The pooled prevalence of frailty was 43% (95% confidence intervals (CI): 36% to 50%, I 2  = 98.4%, P  < 0.05). Subgroup analyses revealed that the therapeutic method, frailty scales, age, frailty stage, regions, publication years, and study quality were associated with the prevalence of frailty among BC patients. Conclusions The prevalence of frailty among BC patients was relatively high, and the conditions of BC treatment can increase the risk of frailty. Understanding the effects of frailty on BC, especially in elderly patients, can provide the healthcare personnel with the theoretical basis for patients’ management and treatment.