Introduction: Lung cancer is a common malignancy and a major cause of cancer-related deaths worldwide, ranking high in terms of morbidity and prevalence. Exercise is a well-established recovery aid for many chronic respiratory conditions and lung cancer. However, it is difficult to determine the superiority of different exercise training modalities using randomised controlled trials (RCTs) or pairwise meta-analyses. Our Bayesian network meta-analysis (NMA) aimed to compare the impact of different perioperative exercise training modalities on lung function, exercise capacity, adverse events, health-related quality of life and mortality in patients undergoing lung cancer surgery, including preoperative and postoperative patients.
Methods and analysis: We will perform a comprehensive literature search using PubMed, EMBASE, Cochrane Library and Web of Science, from inception to May 2022, to identify studies that potentially provide data regarding exercise training modalities for patients with lung cancer. We will assess the risk of bias according to the Cochrane risk-of-bias tool and certainty of evidence for the main outcomes using the Grading of Recommendations Assessment, Development and Evaluation framework. Pairwise meta-analyses will be conducted using a random effects model and Stata software, and the NMA will be analysed using R software.
Ethics and dissemination: Ethical approval and patient consent were not required because this study was a meta-analysis of published RCTs. The results of this study are submitted to a peer-reviewed journal for publication.
Prospero registration number: CRD42021278923.
Keywords: ONCOLOGY; RESPIRATORY MEDICINE (see Thoracic Medicine); SPORTS MEDICINE.
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