Comparing methods for glomerular filtration rate estimation
Our findings suggest that advanced methods provide limited improvement in SCr-based GFR estimation. Future research should focus on integrating novel biomarkers for GFR estimation and improving the feasibility of GFR measurement.
Authors
- Xiaoqian Zhu (ORCID: https://orcid.org/0009-0007-7357-7985)
- Keith C. Norris (ORCID: https://orcid.org/0000-0003-3071-0700)
- Tariq Shafi (ORCID: https://orcid.org/0000-0002-7222-4666)
- Thomas H. Mosley (ORCID: https://orcid.org/0000-0003-3343-1352)
- Seth T. Lirette (ORCID: https://orcid.org/0000-0003-2603-6071)
- Michael Griswold (ORCID: https://orcid.org/0000-0001-8106-5516)
- Jeannette Simino
- Srishti Shrestha
Institutions
- University of California, Los Angeles (US)
- Jackson Memorial Hospital (US)
- University of Mississippi Medical Center (US)
- Baylor Scott & White Health (US)
Publication Details
- Journal
- Journal of Clinical and Translational Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/cts.2025.10057
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Cambridge
- National Institutes of Health
- Center for Clinical and Translational Research
- National Institute of General Medical Sciences
- National Institute of Diabetes and Digestive and Kidney Diseases