{"title":"Using prediction models to improve care and communicate risk: updated modeling for children with IgA nephropathy","authors":"Nicholas G. Larkins , Jonathan C. Craig","doi":"10.1016/j.kint.2024.08.029","DOIUrl":null,"url":null,"abstract":"<div><div>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 <em>Kidney International</em>. We review the methods used and generalizability in practice, along with broader concepts in model development and application.</div></div>","PeriodicalId":17801,"journal":{"name":"Kidney international","volume":null,"pages":null},"PeriodicalIF":14.8000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kidney international","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0085253824006458","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Kidney International (KI), the official journal of the International Society of Nephrology, is led by Dr. Pierre Ronco (Paris, France) and stands as one of nephrology's most cited and esteemed publications worldwide.
KI provides exceptional benefits for both readers and authors, featuring highly cited original articles, focused reviews, cutting-edge imaging techniques, and lively discussions on controversial topics.
The journal is dedicated to kidney research, serving researchers, clinical investigators, and practicing nephrologists.