Challenges and solutions in prognostic prediction models in spinal disorders

Roel Wingbermuhle, Alessandro Chiarotto, Bart Koes, Martijn W Heymans, Emiel van Trijffel

Research output: Contribution to JournalArticleAcademicpeer-review

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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.
Original languageEnglish
Pages (from-to)125-130
Number of pages6
JournalJournal of Clinical Epidemiology
Volume132
Early online date18 Jan 2021
DOIs
Publication statusPublished - Apr 2021

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