Nonpharmacological interventions for cancer-related fatigue in lung cancer patients: A protocol for an evidence map of overview of a network meta-analysis of existing trials

BACKGROUND: Lung cancer is one of the most common cancers, the symptoms and treatment of which can cause negative emotions like anxiety, depression, and cancer-related fatigue (CRF). Nonpharmacological interventions, serving as alternative therapies, can greatly alleviate CRF in lung cancer patients. Previous meta-analyses have reported nonpharmacological interventions of CRF in lung cancer patients, but the results may be conflicting, and the reporting and methodological qualities remain unknown. Moreover, there is limited evidence to identify efficient and safe non-pharmacological interventions of CRF in lung cancer patients. This study aims to assess the therapeutic efficacy of nonpharmacological interventions of CRF in lung cancer patients through a network meta-analysis. METHODS: Relevant literatures reporting non-pharmacological interventions of CRF in lung cancer patients published before June 2021 will be searched in online databases, including Wanfang, VP Information Chinese Journal Service Platform, China National Knowledge Infrastructure, Chinese BioMedicine Literature Database, PubMed, Embase, Cochrane, and Web of science. Two reviewers will be independently responsible for study selection, quality appraisal, and data extraction. Data analysis will be performed using the STATA14.0 and GEMTC 0.14.3 software. RESULTS: This meta-analysis will provide additional and stronger evidences for nonpharmacological interventions of CRF in lung cancer patients. Our findings will be conductive to make therapeutic decisions by clinicians. CONCLUSION: This study will provide a reliable evidence-based basis for non-pharmacological interventions of CRF in lung cancer patients. ETHICS AND DISSEMINATION: Ethical approval was not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and shared on social media platforms. This review would be disseminated in a peer-reviewed journal or conference presentations. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/QRY42.