ArticleDiabetes care2012
Comparison of two creatinine-based estimating equations in predicting all-cause and cardiovascular mortality in patients with type 2 diabetes.
Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Diagnostic value of the Modification of Diet in Renal Disease and Chronic Kidney Disease Epidemiology Collaboration equations in diabetic patients: a systematic review and meta-analysis.The Journal of international medical research · 2020Pooled it
- Review no. 1: designing clinical kidney research using real-world data: research questions, data sources, and analytical skills.Clinical and experimental nephrology · 2026Review
- MDRD is the eGFR equation most strongly associated with 4-year mortality among patients with diabetes in Colombia.BMJ open diabetes research & care · 2023Article
- Scores of peripheral neuropathic pain predicting long-term mortality in patients with type 2 diabetes: A retrospective cohort study.Frontiers in endocrinology · 2022Article
- A synergistic effect of variability in estimated glomerular filtration rate with chronic kidney disease on all-cause mortality prediction in patients with type 2 diabetes: a retrospective cohort study.Cardiovascular diabetology · 2021Observational
- Polyethylene glycol loxenatide (PEX168) in subjects with renal impairment: A pharmacokinetic study.British journal of clinical pharmacology · 2019Article
- Evaluation of various equations for estimating renal function in elderly Chinese patients with type 2 diabetes mellitus.Clinical interventions in aging · 2017Article
- Article
- The Chronic Kidney Disease Epidemiology Collaboration equation improves the detection of hyperfiltration in Chinese diabetic patients.International journal of clinical and experimental medicine · 2015Article
- Chronic kidney disease screening methods and its implication for Malaysia: an in depth review.Global journal of health science · 2015Review
- Comparison of two creatinine-based equations for predicting decline in renal function in type 2 diabetic patients with nephropathy in a korean population.International journal of endocrinology · 2013Article
- Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare the performance of two glomerular filtration rate (GFR)-estimating equations in predicting the risk of all-cause and cardiovascular mortality in type 2 diabetic patients. RESEARCH DESIGN AND
methodsWe followed 2,823 type 2 diabetic outpatients for a period of 6 years for the occurrence of all-cause and cardiovascular mortality. GFR was estimated using the four-variable Modification of Diet in Renal Disease (MDRD) study equation and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.
resultsAt baseline, an estimated GFR (eGFR) <60 mL/min/1.73 m(2) was present in 22.0 and 20.2% of patients using the MDRD study equation and the CKD-EPI equation, respectively. A total of 309 patients died during the follow-up (152 patients from cardiovascular causes). Both creatinine-based equations were associated with an increased risk of all-cause and cardiovascular mortality. However, the CKD-EPI equation provided a more accurate risk prediction of mortality than the MDRD study equation. Receiving operating characteristic curves showed that the areas under the curve (AUCs) for all-cause mortality (AUC 0.712 [95% CI 0.682-0.741]) and cardiovascular mortality (0.771 [0.734-0.808]) using eGFR(CKD-EPI) were significantly greater (P < 0.0001 by the z statistic) than those obtained by using eGFR(MDRD) (0.679 [0.647-0.711] for all-cause mortality and 0.739 [0.698-0.783] for cardiovascular mortality).
conclusionsOur findings suggest that the estimation of GFR using the CKD-EPI equation more appropriately stratifies patients with type 2 diabetes according to the risk of all-cause and cardiovascular mortality compared with the MDRD study equation.
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