Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus

doi:10.4239/wjd.v17.i4.116772

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World Journal of Diabetes

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1948-9358

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Diabetes. Apr 15, 2026; 17(4): 116772
Published online Apr 15, 2026. doi: 10.4239/wjd.v17.i4.116772

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Figure 6 Decision curve analysis for POCD prediction model. The nomogram model (blue solid line) provides superior net benefit across threshold probabilities of 5%-60%, with maximum clinical utility at 20%-40%, compared to treat-all (red dashed line) and treat-none strategies.

Citation: Huang P, Qin XQ, Huang Q, Wang SD, Wu YY, Huang XR, Lin X. Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus. World J Diabetes 2026; 17(4): 116772
URL: https://www.wjgnet.com/1948-9358/full/v17/i4/116772.htm
DOI: https://dx.doi.org/10.4239/wjd.v17.i4.116772

Huang P, Qin XQ, Huang Q, Wang SD, Wu YY, Huang XR, Lin X. Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus. World J Diabetes 2026; 17(4): 116772 [DOI: 10.4239/wjd.v17.i4.116772]

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