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Updated: Nov 28, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Depression and survival of breast cancer patients: A protocol for systematic review and meta-analysis
Guanghui Zhu1,2, Juan Li1,2, Jie Li1
1Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences.
Background:
Breast cancer is the most common malignancy in women worldwide. Compared with other malignant tumors, breast cancer patients have a higher incidence of depression and other psychiatric symptoms. The purpose of this meta-analysis was to determine the association between long-term survival and depression in patients with breast cancer.
Methods:
This review will include cohort studies only. Multiple databases will be searched by 2 independent reviewers, including PubMed, EMBASE, the Cochrane Library, and PsycINFO. The language of studies should be English and Chinese, published from inception to the September 2020. Two independent reviewers will carry out literature screening, research selection and data extraction. Revman5.3 software will be used to generate funnel map, assess heterogeneity, make the subgroup analysis and complete sensitivity analysis.
Results:
This review will summarize the available evidence to determine the association between depression and survival in breast cancer patients.
Conclusion:
The results of this study will provide reference for the development of comprehensive treatment for breast cancer, and will promote further research.
Prospero Registration Number:
CRD42020202200.
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