Clinical Results and Complications of Endoscopic Lumbar Interbody Fusion for Lumbar Degenerative Disease: A Meta-Analysis

医学 Oswestry残疾指数 外科 最小临床重要差异 围手术期 荟萃分析 可视模拟标度 腰椎 经皮 背痛 减压 腰痛 随机对照试验 内科学 替代医学 病理
作者
Dong Hwa Heo,Dong Chan Lee,Hyeun Sung Kim,Choon Keun Park,Hungtae Chung
出处
期刊:World Neurosurgery [Elsevier BV]
卷期号:145: 396-404 被引量:83
标识
DOI:10.1016/j.wneu.2020.10.033
摘要

Although endoscopic transforaminal lumbar interbody fusion (TLIF) may combine the advantages of minimally invasive fusion and endoscopic spine surgery, little evidence exists on endoscopic TLIF. This meta-analysis investigated the clinical results of endoscopic TLIF. We performed a systematic search of Web-based electronic databases to identify articles on endoscopic lumbar interbody fusion. Only studies of water-based endoscopic TLIF with pedicle screw fixation were included. We analyzed preoperative and postoperative scores for the Oswestry Disability Index (ODI) and visual analog scales (VASs) for back and leg pain to evaluate clinical efficacy. The minimal clinically important difference (MCID) of VAS and ODI was analyzed. We calculated differences in means and 95% confidence intervals and investigated indications for endoscopic TLIF, surgical approaches for endoscopic TLIF, the endoscopic systems that were used, and procedure-related complications. Thirteen articles were included in this meta-analysis. Uniportal and biportal endoscopic systems were used. Six articles used the posterolateral approach and 7 used the trans-Kambin approach. Preoperative ODI and VAS scores for leg and back pain significantly improved after endoscopic TLIF with percutaneous pedicle screw fixation (P = 0.00). The ODI significantly improved by twice as much as the MCID. The mean change in the VAS for back and leg pain showed significant improvements over the MCID. The perioperative complications were usually minor. The early clinical results of endoscopic TLIF with percutaneous pedicle screw fixation are favorable. However, long-term outcomes should be investigated and randomized controlled trials should be conducted.
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
HanQing发布了新的文献求助10
1秒前
1秒前
英吉利25发布了新的文献求助10
1秒前
Lucien给迟归的求助进行了留言
1秒前
闪闪半梅完成签到,获得积分20
3秒前
fffxj发布了新的文献求助10
3秒前
ming2026应助mumu采纳,获得10
3秒前
4秒前
黄小小发布了新的文献求助10
4秒前
种田发布了新的文献求助10
4秒前
针地很不戳完成签到,获得积分10
4秒前
Palpitate发布了新的文献求助10
5秒前
6秒前
6秒前
Moonber完成签到,获得积分10
7秒前
FashionBoy应助交衔钩檐丘别采纳,获得10
7秒前
8秒前
ww应助针地很不戳采纳,获得10
8秒前
8秒前
QQ发布了新的文献求助10
8秒前
852应助刘春晓采纳,获得10
9秒前
9秒前
大模型应助小文采纳,获得10
10秒前
10秒前
11秒前
11秒前
琉璃苣发布了新的文献求助10
13秒前
张欢馨应助27采纳,获得10
13秒前
folklore完成签到,获得积分10
14秒前
YY发布了新的文献求助10
15秒前
无情莫英发布了新的文献求助10
15秒前
杜冷丁完成签到,获得积分20
15秒前
123完成签到,获得积分10
15秒前
小溪发布了新的文献求助10
15秒前
16秒前
Aaron567应助mannich采纳,获得10
16秒前
zuducyow完成签到,获得积分10
16秒前
16秒前
JamesPei应助何冰凌采纳,获得10
16秒前
16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
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7582940
求助须知:如何正确求助?哪些是违规求助? 9161740
关于积分的说明 19604510
捐赠科研通 7165027
什么是DOI,文献DOI怎么找? 3266199
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257504