亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Efficacy and Safety of Antidepressants in Patients With Comorbid Depression and Medical Diseases

医学 共病 萧条(经济学) 精神科 梅德林 心理学 政治学 宏观经济学 经济 法学
作者
Ole Köhler‐Forsberg,Victoria Stiglbauer,Jelena Brasanac,Woo Ri Chae,Frederike Wagener,Kim Zimbalski,Oskar Hougaard Jefsen,Shuyan Liu,Malik R. Seals,Stefanie Gamradt,Christoph U. Correll,Stefan M. Gold,Christian Otte
出处
期刊:JAMA Psychiatry [American Medical Association]
卷期号:80 (12): 1196-1196 被引量:25
标识
DOI:10.1001/jamapsychiatry.2023.2983
摘要

Importance Every third to sixth patient with medical diseases receives antidepressants, but regulatory trials typically exclude comorbid medical diseases. Meta-analyses of antidepressants have shown small to medium effect sizes, but generalizability to clinical settings is unclear, where medical comorbidity is highly prevalent. Objective To perform an umbrella systematic review of the meta-analytic evidence and meta-analysis of the efficacy and safety of antidepressant use in populations with medical diseases and comorbid depression. Data Sources PubMed and EMBASE were searched from inception until March 31, 2023, for systematic reviews with or without meta-analyses of randomized clinical trials (RCTs) examining the efficacy and safety of antidepressants for treatment or prevention of comorbid depression in any medical disease. Study Selection Meta-analyses of placebo- or active-controlled RCTs studying antidepressants for depression in individuals with medical diseases. Data Extraction and Synthesis Data extraction and quality assessment using A Measurement Tool for the Assessment of Multiple Systematic Reviews (AMSTAR-2 and AMSTAR-Content) were performed by pairs of independent reviewers following PRISMA guidelines. When several meta-analyses studied the same medical disease, the largest meta-analysis was included. Random-effects meta-analyses pooled data on the primary outcome (efficacy), key secondary outcomes (acceptability and tolerability), and additional secondary outcomes (response and remission). Main Outcomes and Measures Antidepressant efficacy presented as standardized mean differences (SMDs) and tolerability (discontinuation for adverse effects) and acceptability (all-cause discontinuation) presented as risk ratios (RRs). Results Of 6587 references, 176 systematic reviews were identified in 43 medical diseases. Altogether, 52 meta-analyses in 27 medical diseases were included in the evidence synthesis (mean [SD] AMSTAR-2 quality score, 9.3 [3.1], with a maximum possible of 16; mean [SD] AMSTAR-Content score, 2.4 [1.9], with a maximum possible of 9). Across medical diseases (23 meta-analyses), antidepressants improved depression vs placebo (SMD, 0.42 [95% CI, 0.30-0.54]; I 2 = 76.5%), with the largest SMDs for myocardial infarction (SMD, 1.38 [95% CI, 0.82-1.93]), functional chest pain (SMD, 0.87 [95% CI, 0.08-1.67]), and coronary artery disease (SMD, 0.83 [95% CI, 0.32-1.33]) and the smallest for low back pain (SMD, 0.06 [95% CI, 0.17-0.39]) and traumatic brain injury (SMD, 0.08 [95% CI, −0.28 to 0.45]). Antidepressants showed worse acceptability (24 meta-analyses; RR, 1.17 [95% CI, 1.02-1.32]) and tolerability (18 meta-analyses; RR, 1.39 [95% CI, 1.13-1.64]) compared with placebo. Antidepressants led to higher rates of response (8 meta-analyses; RR, 1.54 [95% CI, 1.14-1.94]) and remission (6 meta-analyses; RR, 1.43 [95% CI, 1.25-1.61]) than placebo. Antidepressants more likely prevented depression than placebo (7 meta-analyses; RR, 0.43 [95% CI, 0.33-0.53]). Conclusions and Relevance The results of this umbrella systematic review of meta-analyses found that antidepressants are effective and safe in treating and preventing depression in patients with comorbid medical disease. However, few large, high-quality RCTs exist in most medical diseases.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Criminology34应助科研通管家采纳,获得10
18秒前
Criminology34应助科研通管家采纳,获得10
18秒前
47秒前
1分钟前
nikuisi完成签到,获得积分10
1分钟前
jyy发布了新的文献求助200
1分钟前
1分钟前
wrl2023完成签到,获得积分10
1分钟前
1分钟前
af完成签到,获得积分10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
zxcvvbb1001完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nonlinear Problems of Elasticity 3000
List of 1,091 Public Pension Profiles by Region 1581
Encyclopedia of Agriculture and Food Systems Third Edition 1500
Minimizing the Effects of Phase Quantization Errors in an Electronically Scanned Array 1000
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5534320
求助须知:如何正确求助?哪些是违规求助? 4622348
关于积分的说明 14582560
捐赠科研通 4562573
什么是DOI,文献DOI怎么找? 2500254
邀请新用户注册赠送积分活动 1479794
关于科研通互助平台的介绍 1450972