Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 30617317.
- Also identified by DOI 10.1038/s41591-018-0239-8.
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Abstract
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.
Medical subject headings
- Data Analysis
- Diabetes Mellitus
- Renal Insufficiency, Chronic