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

Prediction of Postoperative Clinical Recovery of Drop Foot Attributable to Lumbar Degenerative... Clinical Orthopaedics Clin Orthop Relat Res (2017) 475:872–880 ® and Related Research DOI 10.1007/s11999-016-5180-x A Publication of The Association of Bone and Joint Surgeons® CLINICAL RESEARCH Prediction of Postoperative Clinical Recovery of Drop Foot Attributable to Lumbar Degenerative Diseases, via a Bayesian Network Shota Takenaka MD, PhD, Hiroyuki Aono MD, PhD Received: 2 June 2016 / Accepted: 16 November 2016 / Published online: 2 December 2016 The Association of Bone and Joint Surgeons1 2016 Abstract Methods Between 1993 and 2013, we treated 141 patients Background Drop foot resulting from degenerative lum- with decompressive lumbar spine surgery who presented bar diseases can impair activities of daily living. Therefore, with drop foot attributable to degenerative diseases. Of predictors of recovery of this symptom have been investi- those, 102 (72%) were included in this retrospective study gated using univariate or/and multivariate analyses. because they had drop foot of recent development and had However, the conclusions have been somewhat contro- no diseases develop that affect evaluation of drop foot after versial. Bayesian network models, which are graphic and surgery. Specifically, 28 (20%) patients could not be ana- intuitive to the clinician, may facilitate understanding of lyzed because their records were not available at http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Clinical Orthopaedics and Related Research Wolters Kluwer Health

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

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Publisher
Springer US
Copyright
Copyright © 2016 by The Association of Bone and Joint Surgeons®
Subject
Medicine & Public Health; Orthopedics; Surgical Orthopedics; Medicine/Public Health, general; Surgery; Sports Medicine; Conservative Orthopedics
ISSN
0009-921X
eISSN
1528-1132
D.O.I.
10.1007/s11999-016-5180-x
Publisher site
See Article on Publisher Site

Abstract

Clinical Orthopaedics Clin Orthop Relat Res (2017) 475:872–880 ® and Related Research DOI 10.1007/s11999-016-5180-x A Publication of The Association of Bone and Joint Surgeons® CLINICAL RESEARCH Prediction of Postoperative Clinical Recovery of Drop Foot Attributable to Lumbar Degenerative Diseases, via a Bayesian Network Shota Takenaka MD, PhD, Hiroyuki Aono MD, PhD Received: 2 June 2016 / Accepted: 16 November 2016 / Published online: 2 December 2016 The Association of Bone and Joint Surgeons1 2016 Abstract Methods Between 1993 and 2013, we treated 141 patients Background Drop foot resulting from degenerative lum- with decompressive lumbar spine surgery who presented bar diseases can impair activities of daily living. Therefore, with drop foot attributable to degenerative diseases. Of predictors of recovery of this symptom have been investi- those, 102 (72%) were included in this retrospective study gated using univariate or/and multivariate analyses. because they had drop foot of recent development and had However, the conclusions have been somewhat contro- no diseases develop that affect evaluation of drop foot after versial. Bayesian network models, which are graphic and surgery. Specifically, 28 (20%) patients could not be ana- intuitive to the clinician, may facilitate understanding of lyzed because their records were not available at

Journal

Clinical Orthopaedics and Related ResearchWolters Kluwer Health

Published: Dec 2, 2016

References

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