Shurui Wang1, Ting Yang1, Wanmin Qiang2, Aomei Shen3,4, Zihan Zhao3, Huili Yang3, Xiaofeng Liu1. 1. Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China. 2. Nursing Department, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China. wanminqiang2020@163.com. 3. Nursing Department, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China. 4. School of Nursing, Peking University, Haidian District, 38 Xueyuan Road, Beijing, China.
Abstract
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%, I2 = 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.
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%, I2 = 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.
Authors: Hanna K Sanoff; Allison M Deal; Janakiraman Krishnamurthy; Chad Torrice; Patrick Dillon; Jessica Sorrentino; Joseph G Ibrahim; Trevor A Jolly; Grant Williams; Lisa A Carey; Amy Drobish; Brittaney-Belle Gordon; Shani Alston; Arti Hurria; Karin Kleinhans; K Lenhard Rudolph; Norman E Sharpless; Hyman B Muss Journal: J Natl Cancer Inst Date: 2014-03-28 Impact factor: 13.506
Authors: Catherine M Alfano; Juan Peng; Rebecca R Andridge; Monica E Lindgren; Stephen P Povoski; Adele M Lipari; Doreen M Agnese; William B Farrar; Lisa D Yee; William E Carson; Janice K Kiecolt-Glaser Journal: J Clin Oncol Date: 2016-11-28 Impact factor: 44.544
Authors: Carol E DeSantis; Jiemin Ma; Mia M Gaudet; Lisa A Newman; Kimberly D Miller; Ann Goding Sauer; Ahmedin Jemal; Rebecca L Siegel Journal: CA Cancer J Clin Date: 2019-10-02 Impact factor: 508.702
Authors: Michelle D Althuis; Jaclyn M Dozier; William F Anderson; Susan S Devesa; Louise A Brinton Journal: Int J Epidemiol Date: 2005-02-28 Impact factor: 7.196
Authors: Harvey Jay Cohen; David Smith; Can-Lan Sun; William Tew; Supriya G Mohile; Cynthia Owusu; Heidi D Klepin; Cary P Gross; Stuart M Lichtman; Ajeet Gajra; Julie Filo; Vani Katheria; Arti Hurria Journal: Cancer Date: 2016-08-16 Impact factor: 6.860
Authors: Benjamin D Smith; Grace L Smith; Arti Hurria; Gabriel N Hortobagyi; Thomas A Buchholz Journal: J Clin Oncol Date: 2009-04-29 Impact factor: 44.544
Authors: Hans Wildiers; Pieter Heeren; Martine Puts; Eva Topinkova; Maryska L G Janssen-Heijnen; Martine Extermann; Claire Falandry; Andrew Artz; Etienne Brain; Giuseppe Colloca; Johan Flamaing; Theodora Karnakis; Cindy Kenis; Riccardo A Audisio; Supriya Mohile; Lazzaro Repetto; Barbara Van Leeuwen; Koen Milisen; Arti Hurria Journal: J Clin Oncol Date: 2014-08-20 Impact factor: 44.544