Ontology highlight
ABSTRACT: Background
Clinical prediction models are often not evaluated properly in specific settings or updated, for instance, with information from new markers. These key steps are needed such that models are fit for purpose and remain relevant in the long-term. We aimed to present an overview of methodological guidance for the evaluation (i.e., validation and impact assessment) and updating of clinical prediction models.Methods
We systematically searched nine databases from January 2000 to January 2022 for articles in English with methodological recommendations for the post-derivation stages of interest. Qualitative analysis was used to summarize the 70 selected guidance papers.Results
Key aspects for validation are the assessment of statistical performance using measures
SUBMITTER: Binuya MAE
PROVIDER: S-EPMC9742671 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature