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Non-pharmaceutical interventions for depressive symptoms in patients with breast cancer: protocol for a systematic review and network meta-analysis.
Yin, Ping; Liu, Lumin; Gao, Ningyang; Huai, Yisheng; Dong, Yiyue; Jin, Qi; Chen, Yue-Lai.
Affiliation
  • Yin P; Sleep Medicine Center, LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Liu L; Sleep Medicine Center, LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Gao N; Shi's Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Huai Y; Sleep Medicine Center, LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Dong Y; Sleep Medicine Center, LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Jin Q; Acupuncture Department, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China jessyqi0606@163.com chenyuelai@163.com.
  • Chen YL; Sleep Medicine Center, LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China jessyqi0606@163.com chenyuelai@163.com.
BMJ Open ; 14(6): e081281, 2024 Jun 04.
Article in En | MEDLINE | ID: mdl-38834328
ABSTRACT

INTRODUCTION:

Patients with breast cancer often suffer from depressive symptoms throughout various stages of cancer, significantly impacting their quality of life and treatment outcomes. Non-pharmaceutical interventions such as psychotherapy, mind-body therapies and physical exercise have shown effectiveness in addressing cancer-related depression. However, the efficacy and safety of different non-pharmacological interventions remain a topic of debate. Therefore, to provide an objective assessment and comparison of the impact of different non-pharmaceutical interventions on depression, we will conduct a network meta-analysis (NMA) to explore the effects of different non-pharmaceutical interventions on reducing depressive symptoms among patients with breast cancer. METHODS AND

ANALYSIS:

We will search nine Chinese and English-language databases, from database inception to 31 July 2023, for randomised controlled trials published in Chinese or English. The English-language databases are PubMed, Medline, Embase, Web of Science and Cochrane Central Register of Controlled Trials, and the Chinese databases are CBM, CNKI, VIP and Wanfang. Two independent researchers will perform information extraction from eligible articles. The primary outcome will be the changes in depressive symptoms, while the secondary outcome will include adverse events. STATA V.15.0 will be used to conduct paired meta-analysis and NMA. Grading of Recommendations Assessment, Development and Evaluation will be used to assess the quality of evidence, and the Cochrane tool for assessing the risks of bias in randomised trials V.2 will be used for risk of bias assessment. ETHICS AND DISSEMINATION The study does not require ethical approval as it will analyse data from existing studies. It is expected that the results of the study will be published in peer-reviewed journals and presented at relevant conferences. PROSPERO REGISTRATION NUMBER CRD42023450494.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Depression / Network Meta-Analysis / Systematic Reviews as Topic Limits: Female / Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Depression / Network Meta-Analysis / Systematic Reviews as Topic Limits: Female / Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: