Herbal medicine on cancer-related fatigue of lung cancer survivors: Protocol for a systematic review

Background:Lung cancer is one of the most common cancers worldwide, and approximately half of the patients with lung cancer receiving chemotherapy suffer from cancer-related fatigue (CRF). Herbal medicines (HMs) have been used in Oriental countries for centuries as tonics. Various beneficial effects of HM on fatigue and cancer have been reported. However, the effectiveness and safety of HM for CRF in lung cancer patients have not been synthesized. The purpose of this systematic review is to evaluate the effectiveness and safety of HM for CRF in patients with lung cancer, regardless of their cancer type or stage.Methods and analysis:A comprehensive search will be conducted in 12 electronic medical databases including 5 English-language databases (Medline via PubMed, EMBASE via Elsevier, the Cochrane Central Register of Controlled Trials [CENTRAL], the Allied and Complementary Medicine Database [AMED] via EBSCO, and the Cumulative Index to Nursing and Allied Health Literature [CINAHL] via EBSCO), 4 Korean-language databases (Oriental Medicine Advanced Searching Integrated System [OASIS], Koreanstudies Information Service System [KISS], Research Information Service System [RISS], and Korea Citation Index [KCI]), 2 Chinese-language databases (China National Knowledge Infrastructure [CNKI] and Wanfang Data), and 1 Japanese-language database (CiNii). Only randomized controlled trials (RCTs) and quasi-RCTs on HM for CRF will be allowed. The severity of fatigue assessed using a validated tool will be considered as theprimary outcome. The secondary outcomes will include the patients' quality of life, activities of daily life, incidence of adverse events, and total effective rate. Two independent researchers will perform the study selection, data extraction, and quality assessment. RevMan version 5.3 will be used for data synthesis. The methodological quality of the included RCTs will be assessed using the Cochrane Collaboration's risk of bias tool. In the meta-analysis, for dichotomous data and continuous data, risk ratio and mean difference, respectively, will be estimated with their 95% confidence intervals. According to the heterogeneity, either a fixed-effects or a random-effects model will be used.Ethics and dissemination:Ethical approval is not required because individual patient data are not included. The findings of this systematic review will be disseminated through a peer-reviewed publication or conference presentation.PROSPERO registration number:CRD42019141660.