Challenges and solutions in prognostic prediction models in spinal disorders
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Updated: Nov 24, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Roel W Wingbermühle1, Alessandro Chiarotto2, Bart Koes3
1SOMT University of Physiotherapy, Amersfoort, The Netherlands; Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Abstract:
Methodological shortcomings in prognostic modeling for patients with spinal disorders are highly common. This general commentary discusses methodological challenges related to the specific nature of this field. Five specific methodological challenges in prognostic modeling for patients with spinal disorders are presented with their potential solutions, as related to the choice of study participants, purpose of studies, limitations in measurements of outcomes and predictors, complexity of recovery predictions, and confusion of prognosis and treatment response. Large studies specifically designed for prognostic model research are needed, using standard baseline measurement sets, clearly describing participants' recruitment and accounting and correcting for measurement limitations.

