Learning curve for minimally invasive transforaminal lumbar interbody fusion: a systematic review

医学 学习曲线 腰椎 接收机工作特性 外科 内科学 计算机科学 操作系统
作者
Yong Ahn,Sol Lee,Woo-Kyung Kim,Sang-Gu Lee
出处
期刊:European Spine Journal [Springer Nature]
卷期号:31 (12): 3551-3559 被引量:7
标识
DOI:10.1007/s00586-022-07397-3
摘要

Minimally invasive transforaminal lumbar interbody fusion (MI-TLIF) is commonly used to treat degenerative lumbar spinal disorders. It facilitates a full-scale spinal decompression and interbody fusion with minimal neural retraction using the tubular retractor system. Despite the benefits of surgical efficiency and minimalism, this technique requires a long learning curve. There is currently no consensus on the learning curve characteristics and proper training methods for MI-TLIF. Thus, this systematic review aimed to discuss the cutoff point at which technical proficiency is achieved and ways to enhance the learning process.Major databases, including PubMed, Embase, and Cochrane Library, were searched for learning curve studies that have evaluated the clinical outcome and learning progress of MI-TLIF using quantitative data. The qualities of the selected studies were assessed using the Newcastle‒Ottawa scale. The plateau points in the "learning curve" were analyzed according to various outcome measures.Nine full-text articles, representing 753 cases, were included from 9743 screened studies. The most commonly used outcome measures were the operative time, followed by the complication rate. The mean cutoff point for the operative time was 31.33 ± 11.98 (range 13‒45) cases.The plateau point in the learning curve for MI-TLIF may differ according to the outcome measures used. Most studies have demonstrated the learning progress based on simple task efficiency, rather than patient outcomes. Moreover, the learning rate may be affected by the patients' and technical conditions. Therefore, great care is required in interpreting the learning curve and cutoff point for MI-TLIF proficiency.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
坚强的广山应助热热带汤采纳,获得10
1秒前
wanci应助好柿发生采纳,获得10
2秒前
削菠萝发布了新的文献求助10
4秒前
赶路人完成签到,获得积分10
5秒前
5秒前
传奇3应助玩命的海冬采纳,获得10
6秒前
13秒前
慕青应助科研通管家采纳,获得20
13秒前
小蘑菇应助科研通管家采纳,获得10
13秒前
研友_VZG7GZ应助科研通管家采纳,获得30
13秒前
情怀应助科研通管家采纳,获得10
13秒前
上官若男应助科研通管家采纳,获得10
13秒前
所所应助科研通管家采纳,获得10
13秒前
寻道图强应助科研通管家采纳,获得20
13秒前
寻道图强应助科研通管家采纳,获得20
13秒前
FIN应助科研通管家采纳,获得20
13秒前
14秒前
Echo完成签到,获得积分10
16秒前
17秒前
18秒前
一只小居发布了新的文献求助10
18秒前
19秒前
21秒前
22秒前
chenyi发布了新的文献求助10
22秒前
小黑不黑发布了新的文献求助10
22秒前
鱼儿吐泡泡完成签到,获得积分20
23秒前
23秒前
鱿鱼炒黄瓜完成签到,获得积分10
24秒前
26秒前
FashionBoy应助delect采纳,获得10
27秒前
lehha完成签到,获得积分10
32秒前
小黑不黑完成签到,获得积分10
32秒前
YYY发布了新的文献求助10
33秒前
35秒前
37秒前
delect发布了新的文献求助10
40秒前
41秒前
一只小居完成签到,获得积分10
42秒前
吴雪发布了新的文献求助10
43秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
A radiographic standard of reference for the growing knee 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 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 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2476775
求助须知:如何正确求助?哪些是违规求助? 2140734
关于积分的说明 5456265
捐赠科研通 1864082
什么是DOI,文献DOI怎么找? 926663
版权声明 562846
科研通“疑难数据库(出版商)”最低求助积分说明 495803