What is it about?
Although conventional subgroup analyses commonly involve stratification analyses, which assess the influence of a single attribute, cross-classification analyses, which simultaneously assess the influence of multiple attributes, have rarely been reported. We investigated the prognostic factors for chronic kidney disease (CKD) progression using a body mass index (BMI)-based cross-classification approach.
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Why is it important?
Investigations utilizing a data disaggregation or cross-classification approach in medical settings with diverse patients can produce results closely reflecting the real clinical world. The present study’s strengths lie in the detailed analyses, designed to disaggregate data using BMI-based cross classification, which is significant to achieving patient-centered medicine.
Perspectives
* Our results may have broader implications for various patients with any diseases.
Hiroshi Kataoka
Tokyo Joshi Ika Daigaku
Read the Original
This page is a summary of: A Body Mass Index-Based Cross-Classification Approach for the Assessment of Prognostic Factors in Chronic Kidney Disease Progression, Kidney and Blood Pressure Research, June 2019, Karger Publishers,
DOI: 10.1159/000501021.
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