作者
Daniel Lubelski, Andrew Hersh, Tej D Azad, Jeff Ehresman, Zachary Pennington, Kurt Lehner, Daniel M Sciubba
发表日期
2021/4
来源
Global spine journal
卷号
11
期号
1_suppl
页码范围
79S-88S
出版商
SAGE Publications
简介
Study Design
Systematic review.
Objectives
To review the existing literature of prediction models in degenerative spinal surgery.
Methods
Review of PubMed/Medline and Embase databases was conducted to identify articles between January 1, 2000 and March 1, 2020 that reported prediction model performance for outcomes following elective degenerative spine surgery.
Results
Thirty-one articles were included. Twenty studies were of thoracolumbar, 5 were of cervical, and 6 included all spine patients. Five studies were externally validated. Prediction models were developed using machine learning (42%) and logistic regression (42%) as well as other techniques. Web-based calculators were included in 45% of published articles. Various outcomes were investigated, including complications, infection, length of stay, discharge disposition, reoperation, readmission, disability score, back pain, leg pain, return to work …
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D Lubelski, A Hersh, TD Azad, J Ehresman… - Global spine journal, 2021