Zaniletti I, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. How to Develop and Validate Prediction Models for Orthopedic Outcomes.
J Arthroplasty 2023;
38:627-633. [PMID:
36572235 PMCID:
PMC10023373 DOI:
10.1016/j.arth.2022.12.032]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/15/2022] [Accepted: 12/17/2022] [Indexed: 12/25/2022] Open
Abstract
Prediction models are common in medicine for predicting outcomes such as mortality, complications, or response to treatment. Despite the growing interest in these models in arthroplasty (and orthopaedics in general), few have been adopted in clinical practice. If robustly built and validated, prediction models can be excellent tools to support surgical decision making. In this paper, we provide an overview of the statistical concepts surrounding prediction models and outline practical steps for prediction model development and validation in arthroplasty research. Please visit the followinghttps://www.youtube.com/watch?v=9Yrit23Rkicfor a video that explains the highlights of the paper in practical terms.
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