Intrawound Treatment for Prevention of Surgical Site Infections in Instrumented Spinal Surgery: A Systematic Comparative Effectiveness Review and Meta-Analysis

医学 荟萃分析 随机对照试验 相对风险 置信区间 观察研究 不利影响 外科 队列研究 优势比 内科学
作者
Justin V. C. Lemans,Sebastiaan P.J. Wijdicks,Willemijn Boot,Geertje A. M. Govaert,Roderick M. Houwert,F. Cumhur Öner,Moyo C. Kruyt
出处
期刊:Global Spine Journal [SAGE Publishing]
卷期号:9 (2): 219-230 被引量:39
标识
DOI:10.1177/2192568218786252
摘要

Study Design: Systematic review and meta-analysis. Objectives: To determine the efficacy of intrawound treatments in reducing deep surgical site infections (SSIs) in instrumented spinal surgery. Methods: The electronic databases MEDLINE, EMBASE, and Cochrane were systematically searched for intrawound treatments for the prevention of SSIs in clean instrumented spine surgery. Both randomized controlled trials and comparative cohort studies were included. The results of included studies were pooled for meta-analysis. Results: After full text- and reference screening, 20 articles were included. There were 2 randomized controlled trials and 18 observational studies. Sixteen studies investigated the use of intrawound antibiotics, and 4 studies investigated the use of intrawound antiseptics. The relative risk of deep SSI for any treatment was 0.26 (95% confidence interval [CI] 0.16-0.44, P < .0001), a significant reduction compared with controls receiving no treatment. For patients treated with local antibiotics the relative risk was 0.29 (95% CI 0.17-0.51, P < .0001), and patients treated with local antiseptics had a relative risk of 0.14 (95% CI 0.05-0.44, P = .0006). Conclusions: Both the use of antibiotic and antiseptic intrawound prophylactics was associated with a significant 3 to 7 times reduction of deep SSIs in instrumented spine surgery. No adverse events were reported in the included studies.
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
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
科研通AI6.4应助明理的秀采纳,获得10
1秒前
传奇3应助熊圆圆采纳,获得10
3秒前
标致剑发布了新的文献求助10
4秒前
4秒前
Alextran91完成签到,获得积分10
5秒前
沉沉叠叠发布了新的文献求助10
9秒前
9秒前
在水一方应助akaer采纳,获得10
9秒前
cff发布了新的文献求助10
12秒前
小李完成签到 ,获得积分10
12秒前
热情的如雪完成签到,获得积分10
13秒前
完美世界应助文静元霜采纳,获得10
13秒前
seawolf168完成签到,获得积分10
13秒前
不安白容完成签到,获得积分10
14秒前
cgsu完成签到,获得积分0
14秒前
lei.qin完成签到 ,获得积分10
15秒前
朕爱圣女果完成签到,获得积分10
16秒前
18秒前
19秒前
22秒前
shen发布了新的文献求助10
24秒前
maojingjing完成签到 ,获得积分10
24秒前
25秒前
25秒前
yyyyy发布了新的文献求助10
26秒前
熊圆圆发布了新的文献求助10
26秒前
研友_ndV9Y8完成签到,获得积分10
27秒前
ak47223发布了新的文献求助10
30秒前
33秒前
搜集达人应助牛高达采纳,获得10
33秒前
Kao应助科研通管家采纳,获得10
33秒前
EternalNaN关注了科研通微信公众号
33秒前
乐乐应助科研通管家采纳,获得10
33秒前
33秒前
顾矜应助科研通管家采纳,获得10
33秒前
34秒前
无花果应助奋斗的元枫采纳,获得10
34秒前
34秒前
研友_VZG7GZ应助01采纳,获得10
35秒前
yyyyy完成签到,获得积分20
39秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576785
求助须知:如何正确求助?哪些是违规求助? 9156380
关于积分的说明 19588422
捐赠科研通 7160595
什么是DOI,文献DOI怎么找? 3265134
关于科研通互助平台的介绍 2430222
邀请新用户注册赠送积分活动 2255758