Challenges and solutions in prognostic prediction models in spinal disorders

Roel W. Wingbermühle; Alessandro Chiarotto; Bart Koes; Martijn W. Heymans; Emiel van Trijffel

doi:https://doi.org/10.1016/j.jclinepi.2020.12.017

Challenges and solutions in prognostic prediction models in spinal disorders

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

Research output: Contribution to journal › Comment/Letter to the editor › Academic

6 Citations (Scopus)

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 language	English
Pages (from-to)	125-130
Number of pages	6
Journal	Journal of Clinical Epidemiology
Volume	132
Early online date	18 Jan 2021
DOIs	https://doi.org/10.1016/j.jclinepi.2020.12.017
Publication status	Published - 1 Apr 2021

Keywords

Clinical prediction models
Methodological challenges
Methodological shortcomings
Musculoskeletal disorders
Prognostic models
Spinal disorders

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https://doi.org/10.1016/j.jclinepi.2020.12.017

https://research.vu.nl/ws/files/224007461/Challenges_and_solutions_in_prognostic_prediction_models_in_spinal_disorders.pdfLicence: Article 25fa Dutch Copyright Act

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title = "Challenges and solutions in prognostic prediction models in spinal disorders",

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{\textquoteright} recruitment and accounting and correcting for measurement limitations.",

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AU - Chiarotto, Alessandro

AU - Koes, Bart

AU - Heymans, Martijn W.

AU - van Trijffel, Emiel

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AB - 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.

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KW - Methodological challenges

KW - Methodological shortcomings

KW - Musculoskeletal disorders

KW - Prognostic models

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Challenges and solutions in prognostic prediction models in spinal disorders

Abstract

Keywords

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