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Using prediction models to improve care and communicate risk: updated modeling for children with IgA nephropathy.
Kidney International ( IF 14.8 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.kint.2024.08.029 Nicholas G Larkins,Jonathan C Craig
Kidney International ( IF 14.8 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.kint.2024.08.029 Nicholas G Larkins,Jonathan C Craig
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.
中文翻译:
使用预测模型改善护理和沟通风险:IgA 肾病儿童的更新模型。
临床风险预测模型的生成速度越来越快。一个重要的组成部分是确定此类模型可能需要重新校准以保持其所需性能的组。为此,本期《肾脏国际》杂志上发表了儿童活检后国际 IgA 肾病预测工具的更新。我们回顾了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。
更新日期:2024-10-23
中文翻译:
使用预测模型改善护理和沟通风险:IgA 肾病儿童的更新模型。
临床风险预测模型的生成速度越来越快。一个重要的组成部分是确定此类模型可能需要重新校准以保持其所需性能的组。为此,本期《肾脏国际》杂志上发表了儿童活检后国际 IgA 肾病预测工具的更新。我们回顾了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。