Effectiveness of exercise-based interventions in preventing cancer therapy-related cardiac dysfunction in patients with breast cancer: A systematic review and network meta-analysis

IF 7.5 1区 医学 Q1 NURSING
Dandan Zhang , Xingyu Xiong , Hexiao Ding , Xiaole He , Huan Li , Yuzhi Yao , Ruisi Ma , Ting Liu
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引用次数: 0

Abstract

Background

Despite advances in cancer treatment that have improved survival rates among patients with breast cancer, they are at high risk of developing cancer therapy-related cardiac dysfunction, which typically manifests as heart failure. Although exercise improves cardiorespiratory fitness in these patients, its effectiveness in preventing cancer therapy-related cardiac dysfunction remains unclear.

Objective

To assess the effectiveness of exercise-based interventions using cardiac function parameters and to identify the optimal exercise modality for preventing cancer therapy-related cardiac dysfunction.

Design

A systematic review and network meta-analysis.

Methods

A comprehensive search was conducted across PubMed, Embase, Scopus, Web of Science, and the Cochrane Library databases, covering all records from their inception through August 6, 2024. Studies that used exercise-based interventions, either exercise alone or with other interventions, were included. Those with insufficient data for the primary and secondary outcomes were excluded. Quality appraisal was evaluated using the risk of bias tool (RoB-2). All statistical analyses were conducted using the meta (version 7.0–0) and gemtc (version 1.0–2) packages in R software (version 4.3.3). For continuous outcomes, pairwise and network meta-analysis were employed to estimate mean differences (MDs) and 95 % confidence intervals (CI). The Surface Under the Cumulative Ranking Curve (SUCRA) was employed to rank treatments. The study protocol has been registered on PROSPERO (ID: CRD42024501160).

Results

In total, 13 randomized controlled trials involving 1122 participants were included in the review. There was low-to-high risk of bias across thirteen studies. Compared to usual care, exercise-based interventions significantly improved left ventricular ejection fraction (MD, 1.68; 95 % CI, 0.59–2.77) and global longitudinal strain (MD, 1.40; 95 % CI, 0.59–2.21). Based on the ranking probabilities, combined aerobic and resistance exercise was the most efficacious method for improving left ventricular ejection fraction (four studies; SUCRA, 0.96), followed by exercise-based cardio-oncology rehabilitation (two studies; SUCRA, 0.45) and aerobic exercise (four studies; SUCRA, 0.42). In terms of improving global longitudinal strain, combined aerobic and resistance exercise also ranked highest (three studies; SUCRA, 0.88). However, exercise-based cardio-oncology rehabilitation (two studies; SUCRA, 0.47) and aerobic exercise (one study; SUCRA, 0.45) were less effective.

Conclusions

This network meta-analysis showed very low certainty for the prospective efficacy of exercise-based interventions, especially the combined aerobic and resistance exercise, in preventing cancer therapy-related cardiac dysfunction. Further rigorous studies are required to confirm the effectiveness of exercise-based interventions in preventing cancer therapy-related cardiac dysfunction among patients with breast cancer.
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来源期刊
CiteScore
15.00
自引率
2.50%
发文量
181
审稿时长
21 days
期刊介绍: The International Journal of Nursing Studies (IJNS) is a highly respected journal that has been publishing original peer-reviewed articles since 1963. It provides a forum for original research and scholarship about health care delivery, organisation, management, workforce, policy, and research methods relevant to nursing, midwifery, and other health related professions. The journal aims to support evidence informed policy and practice by publishing research, systematic and other scholarly reviews, critical discussion, and commentary of the highest standard. The IJNS is indexed in major databases including PubMed, Medline, Thomson Reuters - Science Citation Index, Scopus, Thomson Reuters - Social Science Citation Index, CINAHL, and the BNI (British Nursing Index).
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