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Efficacy and safety of oral Chinese medicine on cancer-related fatigue for lung cancer patients after chemotherapy: Protocol for systematic review and meta-analysis

INTRODUCTION: Lung cancer has the highest mortality rate of about 18.0% among malignant tumors worldwide, and chemotherapy is the main treatment. 80% of patients receiving chemotherapy suffers from cancer-related fatigue, which is the most severe symptom, with a large effect on quality of life as we...

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Detalles Bibliográficos
Autores principales: Li, Peijin, Wang, Qian, Liu, Lixing, Zhou, Rui, Liu, Tingting, Wang, Yue, Feng, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246193/
https://www.ncbi.nlm.nih.gov/pubmed/35771849
http://dx.doi.org/10.1371/journal.pone.0270203
Descripción
Sumario:INTRODUCTION: Lung cancer has the highest mortality rate of about 18.0% among malignant tumors worldwide, and chemotherapy is the main treatment. 80% of patients receiving chemotherapy suffers from cancer-related fatigue, which is the most severe symptom, with a large effect on quality of life as well as prognosis. Oral Chinese medicine, a kind of complementary and alternative medicine, has been proved to benefit lung cancer patients. However, no studies have reviewed whether it can reduce fatigue in lung cancer patients after chemotherapy, which is the purpose of our study. METHODS: Two reviewers will systematically and independently retrieve papers, select studies for inclusion, extract data, and assess risk of bias. The following nine databases will be searched: China National Knowledge Infrastructure, Wan Fang database, Chinese Scientific Journals Database, Chinese biomedical literature service system, PubMed, Web of Science, OVID, Scopus, and EMBASE from inception to February, 2022. Included studies will only be randomized controlled trials. Primary outcome is cancer-related fatigue. Secondary outcomes are quality of life, immunologic function, and the incidence of adverse events. We will use RoB 2 tool to assess the risk of bias and RevMan to analyze data. Risk ratios will be calculated for dichotomous data and mean differences for continuous data. Random-effect model will be used to integrate statistical effects. Meta-regression, subgroup and sensitivity analyses will be carried out. We will evaluate the strength and overall quality of evidence with four levels: very low, low, moderate, and high. RESULTS: The review of current evidence of oral Chinese medicine on cancer-related fatigue for lung cancer patients after chemotherapy will be narratively summarized and quantitatively analyzed. CONCLUSION: The definitive conclusion will help physicians to determine whether oral Chinese medicine is an effective treatment for reducing fatigue in lung cancer patients after chemotherapy in clinical settings. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021292576.