荟萃分析
癌症
医学
贝叶斯网络
肿瘤科
贝叶斯概率
系统回顾
梅德林
内科学
生物信息学
物理疗法
物理医学与康复
计算机科学
人工智能
生物
生物化学
作者
Jingyu Wang,Yuxuan He,A-Ram Kim,Kyung-Hee Lee,Seung Wook Choi
标识
DOI:10.1080/02640414.2025.2486886
摘要
This systematic review and network meta-analysis (NMA) was to investigate the effects of different exercise modalities on inflammatory markers in cancer patients. Using the standardized mean difference (SMD) as the effect size, a Bayesian random-effects network meta-analysis and regression analysis were conducted. Searches were performed across five databases for randomized controlled trials (RCTs) involving cancer patients, with exercise as the intervention, reported outcomes related to inflammatory markers, and interventions lasting more than four weeks, up to June 2024. A total of 57 RCTs (3106 patients) were included. The Cochrane risk of Bias Tool was utilized to assess the RCTs, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool was employed to evaluate the quality of evidence. NMA results indicate that regular exercise is effective in reducing inflammation in cancer patients, with combined high-intensity aerobic and resistance exercises proving to be the most beneficial. The type, intensity, and total volume of exercise are critical factors in achieving positive outcomes. It is recommended to design exercise programs for cancer patients that combine aerobic and resistance training, with a gradual increase in intensity to ensure safety.
科研通智能强力驱动
Strongly Powered by AbleSci AI