Oral versus depot antipsychotic drugs for schizophrenia—A critical systematic review and meta-analysis of randomised long-term trials

荟萃分析 抗精神病药 精神分裂症(面向对象编程) 期限(时间) 医学 精神科 心理学 心理治疗师 内科学 量子力学 物理
作者
Claudia Leucht,Stephan Heres,John M. Kane,Werner Kissling,John M. Davis,Stefan Leucht
出处
期刊:Schizophrenia Research [Elsevier BV]
卷期号:127 (1-3): 83-92 被引量:396
标识
DOI:10.1016/j.schres.2010.11.020
摘要

Non-adherence is a major problem in the treatment of schizophrenia. Depot antipsychotic drugs are thought to reduce relapse rates by improving adherence, but a systematic review of long-term studies in outpatients is not available. We searched the Cochrane Schizophrenia Group's register, ClinicalTrials.gov, Cochrane reviews on depot medication, and the reference sections of included studies for randomised controlled trials lasting at least 12 months in outpatients that compared depot with oral antipsychotics in schizophrenia. Data on relapse (primary outcome), rehospitalisation, non-adherence, and dropout due to any reason, inefficacy of treatment and adverse events were summarised in a meta-analysis using a random-effects model. Study quality was assessed with the Cochrane collaboration's risk of bias tool, and publication bias with funnel plots. Ten studies with 1700 participants met the inclusion criteria. Depot formulations significantly reduced relapses with relative and absolute risk reductions of 30% and 10%, respectively (RR 0.70, CI 0.57–0.87, NNT 10, CI 6–25, P = 0.0009), and dropout due to inefficacy (RR 0.71, CI 0.57–0.89). Limited data on non-adherence, rehospitalisation and dropout due to any reason and adverse events revealed no significant differences. There were several potential sources of bias such as limited information on randomisation methods, problems of blinding and different medications in the depot and oral groups. Other studies reduced a potential superiority of depot by excluding non-adherent patients. Depot antipsychotic drugs significantly reduced relapse. Due to a number of methodological problems in the single trials the evidence is, nonetheless, subject to possible bias.
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
量子星尘发布了新的文献求助10
1秒前
xxyh给SHMinger的求助进行了留言
2秒前
2秒前
体贴怜翠发布了新的文献求助10
2秒前
洁净笑白发布了新的文献求助10
2秒前
tanwenbin完成签到,获得积分10
2秒前
4秒前
daqing完成签到,获得积分20
5秒前
浅忆完成签到 ,获得积分10
5秒前
lhjct0313发布了新的文献求助30
6秒前
6秒前
8秒前
APS发布了新的文献求助10
9秒前
So完成签到 ,获得积分10
9秒前
斯文败类应助洁净笑白采纳,获得10
9秒前
10秒前
所所应助tan_sg采纳,获得10
10秒前
体贴怜翠完成签到,获得积分10
10秒前
果粒橙应助怎么睡不醒采纳,获得10
11秒前
科研通AI5应助YY本Y采纳,获得10
11秒前
11秒前
11秒前
11秒前
剪刀手完成签到 ,获得积分10
11秒前
上官若男应助被淹死的鱼采纳,获得30
11秒前
尼萌尼萌完成签到,获得积分10
12秒前
13秒前
量子星尘发布了新的文献求助10
13秒前
万能图书馆应助正直凌文采纳,获得10
13秒前
14秒前
大辉发布了新的文献求助10
15秒前
16秒前
16秒前
17秒前
dou发布了新的文献求助10
17秒前
CXWANG完成签到,获得积分10
18秒前
18秒前
小花完成签到 ,获得积分10
18秒前
云辞忧完成签到,获得积分10
19秒前
喵喵666完成签到,获得积分10
20秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Functional High Entropy Alloys and Compounds 1000
Building Quantum Computers 1000
Molecular Cloning: A Laboratory Manual (Fourth Edition) 500
Social Epistemology: The Niches for Knowledge and Ignorance 500
优秀运动员运动寿命的人文社会学因素研究 500
Medicine and the Navy, 1200-1900: 1815-1900 420
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4238921
求助须知:如何正确求助?哪些是违规求助? 3772675
关于积分的说明 11847956
捐赠科研通 3428534
什么是DOI,文献DOI怎么找? 1881611
邀请新用户注册赠送积分活动 933811
科研通“疑难数据库(出版商)”最低求助积分说明 840575