Improvements Are Needed in the Adherence to the TRIPOD Statement for Clinical Prediction Models for Patients With Spinal Pain or Osteoarthritis: A Metaresearch Study - 10/08/24
Abstract |
This metaresearch study aimed to evaluate the completeness of reporting of prediction model studies in patients with spinal pain or osteoarthritis (OA) in terms of adherence to the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) statement. We searched for prognostic and diagnostic prediction models in patients with spinal pain or OA in MEDLINE, Embase, Web of Science, and CINAHL. Using a standardized assessment form, we assessed the adherence to the TRIPOD of the included studies. Two independent reviewers performed the study selection and data extraction phases. We included 66 studies. Approximately 35% of the studies declared to have used the TRIPOD. The median adherence to the TRIPOD was 59% overall (interquartile range (IQR): 21.8), with the items of the methods and results sections having the worst reporting. Studies on neck pain had better adherence to the TRIPOD than studies on back pain and OA (medians of 76.5%, 59%, and 53%, respectively). External validation studies had the highest total adherence (median: 79.5%, IQR: 12.8) of all the study types. The median overall adherence was 4 points higher in studies that declared TRIPOD use than those that did not. Finally, we did not observe any improvement in adherence over the years. The adherence to the TRIPOD of prediction models in the spinal and OA fields is low, with the methods and results sections being the most poorly reported. Future studies on prediction models in spinal pain and OA should follow the TRIPOD to improve their reporting completeness.
Perspective |
This article provides data about adherence to the TRIPOD statement in 66 prediction model studies for spinal pain or OA. The adherence to the TRIPOD statement was found to be low (median adherence of 59%). This inadequate reporting may negatively impact the effective use of the models in clinical practice.
Le texte complet de cet article est disponible en PDF.Highlights |
• | We evaluated the adherence to the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) in 66 spinal pain or osteoarthritis prediction models. |
• | The adherence to the TRIPOD statement was generally low (median adherence of 59%). |
• | An inadequate reporting may hinder the effective application of a model in clinical practice. |
• | Future prediction models must adhere to the TRIPOD reporting guideline. |
• | The use of the TRIPOD should be encouraged by peer reviews and journal editors. |
Key words : Reporting guidelines, machine learning, reporting, prognosis, diagnosis
Plan
Supplementary data accompanying this article are available online at www.jpain.org and www.sciencedirect.com. |
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