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

CONCLUSIONS: The results of this study suggest that the clinician can understand intuitively the layered correlation among predictors by Bayesian network models. Based on the models, the decision-support tool successfully provided the probability estimates of posttibialis anterior muscle strength to treat drop foot attributable to lumbar degenerative diseases. These models were shown to be robust on the internal validation but should be externally validated in other populations. LEVEL OF EVIDENCE: Level III, therapeutic study. PMID: 27913961 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/27913961?dopt=Abstract

Source: Clinical Orthopaedics and Related Research - December 1, 2016 Category: Orthopaedics Authors: Takenaka S, Aono H Tags: Clin Orthop Relat Res Source Type: research