Using prediction models to improve care and communicate risk: updated modeling for children with IgA nephropathy.
review · Level V
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- Record sourced from PubMed, PMID 39428171.
- Also identified by DOI 10.1016/j.kint.2024.08.029.
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Abstract
Clinical risk prediction models are being generated at an increasing rate. One important component is the identification of groups for whom such models might require recalibration to retain their desired performance. To this end, an update of the postbiopsy International IgA Nephropathy Prediction Tool for children has been published in this issue of Kidney International. We review the methods used and generalizability in practice, along with broader concepts in model development and application.
Medical subject headings
- Glomerulonephritis, IGA