Li Jie, Zhang Feng, Wang Wenchun, Pang Rizhao, Liu Jiancheng, Man Qiuhong, Zhang Anren
Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
The General Hospital of Western Theater Command, Chengdu, China.
BMJ Open. 2021 Feb 4;11(2):e041588. doi: 10.1136/bmjopen-2020-041588.
Patients with breast cancer often experience severe psychological distress, especially anxiety and depression, leading to poorer quality of life, shortened survival time and increased mortality.The objective of the review will be to summarise data on the prevalence and risk factors of anxiety and depression in patients with breast cancer.
Two reviewers will be applied in seven databases, including Web of Science, PubMed, EMBASE, Wan Fang Data Knowledge Service Platform, Chinese Biomedical Literature Database, Chinese Scientific Journal Database (VIP database), China National Knowledge Infrastructure and for studies on the prevalence and risk factors of depression in patients with breast cancer, which should be published from inception to Feb 2020 in English, Chinese, French and Spanish. The selection of studies, data extraction and risk of bias assessment will be done independently by two reviewers. Data synthesis will be carried out using RevMan V.5.3 software. The heterogeneity will be determined by the I² test. Publication bias will be evaluated by generating a funnel plot and performing the Begg and Egger test. The quality of the systematic review will be assessed using the Grading of Recommendations Assessment, Development and Evaluation Tool criteria.
No ethical approval is required. This protocol will not involve individual patient information and endangering participant rights. The results will be reported in a peer-reviewed journal or disseminated in relevant conferences.
DOI 10.17605/OSF.IO/D6A4P.
乳腺癌患者常经历严重的心理困扰,尤其是焦虑和抑郁,这会导致生活质量下降、生存时间缩短和死亡率增加。本综述的目的是总结乳腺癌患者焦虑和抑郁的患病率及危险因素的数据。
两名综述员将检索七个数据库,包括科学网、PubMed、EMBASE、万方数据知识服务平台、中国生物医学文献数据库、中文科技期刊数据库(维普数据库)、中国知网,检索关于乳腺癌患者抑郁患病率及危险因素的研究,这些研究发表时间应为从创刊至2020年2月,语言为英文、中文、法文和西班牙文。两名综述员将独立进行研究选择、数据提取和偏倚风险评估。将使用RevMan V.5.3软件进行数据合成。异质性将通过I²检验确定。将通过生成漏斗图和进行Begg检验及Egger检验来评估发表偏倚。将使用推荐分级评估、制定与评价工具标准来评估系统综述的质量。
无需伦理批准。本方案不会涉及个体患者信息,也不会危及参与者权利。研究结果将在同行评审期刊上发表或在相关会议上传播。
DOI 10.17605/OSF.IO/D6A4P。