Using prediction models to improve care and communicate risk: updated modeling for children with IgA nephropathy

IF 14.8 1区 医学 Q1 UROLOGY & NEPHROLOGY
Nicholas G. Larkins , Jonathan C. Craig
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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.
利用预测模型改善护理和传达风险:IgA 肾病患儿的最新模型。
临床风险预测模型的生成速度越来越快。其中一个重要的组成部分是确定哪些群体可能需要重新校准这些模型,以保持其理想的性能。为此,本期《国际肾脏》杂志发表了儿童活检后国际 IgA 肾病预测工具的更新版。我们回顾了在实践中使用的方法和可推广性,以及模型开发和应用中更广泛的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kidney international
Kidney international 医学-泌尿学与肾脏学
CiteScore
23.30
自引率
3.10%
发文量
490
审稿时长
3-6 weeks
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.
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