Journal
NATURE MEDICINE
Volume 25, Issue 1, Pages 57-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41591-018-0239-8
Keywords
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Funding
- Roche Diabetes Care GmbH
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Diagnostic procedures, therapeutic recommendations, and medical risk stratifications are based on dedicated, strictly controlled clinical trials. However, a plethora of real-world medical data exists, whereupon the increase in data volume comes at the expense of completeness, uniformity, and control. Here, a case-by-case comparison shows that the predictive power of our real world data-based model for diabetes-related chronic kidney disease outperforms published algorithms, which were derived from clinical study data.
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