ArticleInternational urology and nephrology2017
Estimates of health utility scores in chronic kidney disease.
Article in International urology and nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Biomarkers for assessing acute kidney injury for people who are being considered for admission to critical care: a systematic review and cost-effectiveness analysis.Health technology assessment (Winchester, England) · 2022Pooled it
- Ketoanalogue-Supplemented Low-Protein Diet in Patients with Stage 4+ Chronic Kidney Disease in Italy: A Cost-Utility Analysis.Nutrients · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCoverage decisions in publicly funded healthcare systems require a formal, systematic and transparent assessment process for policies related to distribution of resources. The process is complex and employs multiple types of information, such as clinical effectiveness, costs and health utility scores which are used to produce quality-adjusted life years. The purpose of this study was to create health utility scores for CKD patients within the Canadian population.
methodsThis is a cross-sectional study of CKD patients. We administered the Short-Form 36 Quality of Life Questions to all participants and employed the Short-Form 6 Dimension index to create health utility scores which were created using a set of parametric preference weights, nonparametric preference weights and ordinal health state valuation techniques obtained from a sample of the general population.
resultsUtility values in the dialysis group were lower than in the non-dialysis group. There was a significant relationship between age and health utility scores: As age increases, health utility scores decrease. Diabetes was associated with lower health utility scores in dialysis patients, whereas other covariates did not reach levels of statistical significance in our stepwise regression models. The parametric Bayesian model and standard gamble approach yielded the same results, while the correlation between the nonparametric and parametric methods was above 0.9.
conclusionHealth utility scores were low relative to the general population norm in our study cohort. Longitudinal assessment of CKD patients to capture possible fluctuations in health utility scores may add useful information.
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Registered trials
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