中国 2 型糖尿病患者抑郁的患病率及其危险因素的系统评价和荟萃分析方案
Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis.
机构信息
School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
The General Hospital of Western Theater Command, Chengdu, China.
出版信息
Syst Rev. 2021 Nov 25;10(1):302. doi: 10.1186/s13643-021-01855-7.
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 I 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.
背景
在中国，2 型糖尿病（T2DM）的患病率正在上升。抑郁症是 T2DM 的一个重要并发症，导致 T2DM 管理不善。因此，早期发现和治疗 T2DM 患者的抑郁症至关重要且有效。因此，我们计划进行系统评价和荟萃分析，以评估中国 T2DM 患者中抑郁症的患病率，并探讨 T2DM 中抑郁症的潜在危险因素。
方法
我们将检索 MEDLINE、EMBASE、Cochrane 图书馆、中国生物医学文献数据库（CBM）、中国知网（CNKI）、中国科技期刊数据库（VIP）和万方数据库中自成立以来收录的文献。我们将手动检索灰色文献、已确定研究的参考文献、相关网站，并咨询该领域的专家。我们将纳入基于人群的横断面研究，这些研究调查了中国 T2DM 患者中抑郁症的患病率以及 T2DM 中抑郁症的可能危险因素。两名评审员将独立筛选研究、提取数据和评估偏倚风险。将使用医疗保健研究和质量机构方法清单评估偏倚风险。如果可行，我们将对观察性数据进行随机效应荟萃分析，以总结汇总患病率，并使用分类数据的优势比来探讨潜在的危险因素。患病率估计将根据年龄、性别和其他因素进行分层。使用 Cochran's Q 和 I 指数估计统计异质性。我们将进行荟萃回归分析以调查潜在的异质源，进行敏感性分析以评估综合结果的稳健性，并进行漏斗图和 Egger 检验以评估发表偏倚。
讨论
这项系统评价和荟萃分析将提供中国 T2DM 患者中抑郁症的患病率和潜在危险因素的综合证据。我们希望为医疗保健从业者和政策制定者提供关注 T2DM 患者心理健康的证据。我们的数据将强调早期发现和干预 T2DM 患者抑郁症的必要性和重要性。
系统评价注册
PROSPERO CRD42020182979。
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