Prediction of Postoperative Clinical Recovery of Drop Foot Attributable to Lumbar Degenerative Diseases, via a Bayesian Network

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• 作者：Shota Takenaka MD ; PhD…
• 刊名：Clinical Orthopaedics and Related Research®
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：475
• 期：3
• 页码：872-880
• 全文大小：
• 刊物主题：Orthopedics; Surgical Orthopedics; Medicine/Public Health, general; Surgery; Sports Medicine; Conservative Orthopedics;
• 出版者：Springer US
• ISSN：1528-1132
• 卷排序：475

文摘

BackgroundDrop foot resulting from degenerative lumbar diseases can impair activities of daily living. Therefore, predictors of recovery of this symptom have been investigated using univariate or/and multivariate analyses. However, the conclusions have been somewhat controversial. Bayesian network models, which are graphic and intuitive to the clinician, may facilitate understanding of the prognosis of drop foot resulting from degenerative lumbar diseases.