Predictive role of pretreatment skeletal muscle mass index for long-term survival of bladder cancer patients: A meta-analysis

Author:

Yuan Qian,Hu Jianrong,Yuan Feng,An JingjingORCID

Abstract

Purpose To identify the predictive role of pretreatment skeletal muscle mass index (SMI) for long-term survival of bladder cancer patients. Methods Several databases were searched for studies investigating the relationship between pretreatment SMI and prognosis in bladder cancer. The overall survival (OS) and cancer-specific survival (CSS) were defined as primary and secondary outcomes, respectively. Hazard ratios (HRs) and 95% confidence intervals (CIs) were combined. Results Nine studies involving 1476 cases were included. The results demonstrated that a lower pretreatment SMI was significantly related to poorer OS (HR = 1.56, 95% CI: 1.33–1.82, P<0.001) and subgroup analysis based on thresholds of SMI revealed similar results. Besides, pretreatment SMI was also obviously related to CSS (HR = 1.75, 95% CI: 1.36–2.25, P<0.001). Conclusion Lower pretreatment SMI was associated with worse long-term survival of bladder cancer patients.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference40 articles.

1. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods;J Ferlay;International journal of cancer,2019

2. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.;H Sung;CA: a cancer journal for clinicians,2021

3. Cancer statistics in China and United States, 2022: profiles, trends, and determinants.;C Xia;Chinese medical journal,2022

4. Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2019.;MJ Kang;Cancer research and treatment,2022

5. Sarcopenia as a prognostic biomarker of advanced urothelial carcinoma.;H Fukushima;PLoS One,2015

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3