TY - JOUR T1 - Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis. AU - Liu,Xiaobo, AU - Dong,Chao, AU - Jiang,Hong, AU - Zhong,Dongling, AU - Li,Yuxi, AU - Zhang,Huiling, AU - Zhang,Jun, AU - Fan,Jin, AU - Li,Juan, AU - Guan,Li, AU - Jin,Rongjiang, Y1 - 2021/11/25/ PY - 2020/08/21/received PY - 2021/11/10/accepted PY - 2021/11/26/entrez PY - 2021/11/27/pubmed PY - 2022/3/3/medline KW - China KW - Depression KW - Prevalence KW - Risk factors KW - Type 2 diabetes mellitus SP - 302 EP - 302 JF - Systematic reviews JO - Syst Rev VL - 10 IS - 1 N2 - BACKGROUND: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM. METHODS: We will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran's Q and I2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger's test to assess publication bias. DISCUSSION: This systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020182979. SN - 2046-4053 UR - https://www.unboundmedicine.com/medline/citation/34823606/Prevalence_and_risk_factors_of_depression_in_Chinese_patients_with_type_2_diabetes_mellitus:_a_protocol_of_systematic_review_and_meta_analysis_ DB - PRIME DP - Unbound Medicine ER -