CommentaryClinical prediction rules: the importance of the validation phase
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Cited by (5)
Highlighting discrepancies in walking prediction accuracy for patients with traumatic spinal cord injury: an evaluation of validated prediction models using a Canadian Multicenter Spinal Cord Injury Registry
2019, Spine JournalCitation Excerpt :Other methods to validate predictive models that are being developed, such as a prediction-recall curve, may be more appropriate in future evaluations [21]. Despite the proposal by Hicks et al. [7] that a three-variable prediction model could provide nearly equivalent predictive accuracy to the validated five-variable model, a notion that was echoed in the recent commentary by Nater and Fehlings [11], our analyses suggest that perhaps generating prediction models with increased variable count and/or using non-LR methodologies could improve tSCI prognostication. Additional variables that could be of interest include spinal MRI findings and serum biomarkers.
Predicting Outdoor Walking 1 Year After Spinal Cord Injury: A Retrospective, Multisite External Validation Study
2023, Journal of Neurologic Physical TherapyUtility of transcranial magnetic stimulation in the assessment of spinal cord injury: Current status and future directions
2022, Frontiers in Rehabilitation SciencesValidation and update of the thoracic surgery scoring system (Thoracoscore) risk model
2020, European Journal of Cardio-thoracic Surgery
FDA device/drug status: Not applicable.
Author disclosures: AN: Nothing to disclose. MGF: Consulting: Pfizer (B), Zimmer Biomet (B), InVivo Therapeutics (B), outside the submitted work.
The disclosure key can be found on the Table of Contents and at www.TheSpineJournalOnline.com.