Observational studyQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2013
Estimating utilities for chronic kidney disease, using SF-36 and SF-12-based measures: challenges in a population of veterans with diabetes.
Observational study in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model Design.PharmacoEconomics · 2019Pooled it
- Cost-effectiveness analysis of a prognostic risk assessment for early-stage 1-3b diabetic kidney disease patients in the United States.Cost effectiveness and resource allocation : C/E · 2026Article
- A cost-effectiveness analysis of linagliptin add-on to insulin treatment for patients with type 2 diabetes mellitus and chronic kidney disease in Iran.Journal of diabetes and metabolic disorders · 2023Article
- Population level outcomes and cost-effectiveness of hepatitis C treatment pre- vs postkidney transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018Article
- Substitution of SF-36 by SF-12 Among Hong Kong Chinese Older Adults: Secondary Analysis of Randomized Controlled Trials.International journal of behavioral medicine · 2016Article
- Comparison of the preference-based EQ-5D-5L and SF-6D in patients with end-stage renal disease (ESRD).The European journal of health economics : HEPAC : health economics in prevention and care · 2015Article
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Authors and funding
8 authors.
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Abstract
purposeUsing transformations of existing quality-of-life data to estimate utilities has the potential to efficiently provide investigators with utility information. We used within-method and across-method comparisons and estimated disutilities associated with increasing chronic kidney disease (CKD) severity.
methodsIn an observational cohort of veterans with diabetes (DM) and pre-existing SF-36/SF-12 responses, we used six transformation methods (SF-12 to EQ-5D, SF-36 to HUI2, SF-12 to SF-6D, SF-36 to SF-6D, SF-36 to SF-6D (Bayesian method), and SF-12 to VR-6D) to estimate unadjusted utilities. CKD severity was staged using glomerular filtration rate estimated from serum creatinines, with the modification of diet in renal disease formula. We then used multivariate regression to estimate disutilities specifically associated with CKD severity stage.
resultsOf 67,963 patients, 22,273 patients had recent-onset DM and 45,690 patients had prevalent DM. For the recent-onset group, the adjusted disutility associated with CKD derived from the six transformation methods ranged from 0.0029 to 0.0045 for stage 2; -0.004 to -0.0009 for early stage 3; -0.017 to -0.010 for late stage 3; -0.023 to -0.012 for stage 4; -0.078 to -0.033 for stage 5; and -0.012 to -0.001 for ESRD/dialysis.
conclusionDisutility did not increase monotonically as CKD severity increased. Differences in disutilities estimated using the six different methods were found. Both findings have implications for using such estimates in economic analyses.
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