ArticlePharmacoEconomics2015
Refitting of the UKPDS 68 risk equations to contemporary routine clinical practice data in the UK.
Article in PharmacoEconomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Machine Learning Models for Prediction of Diabetic Microvascular Complications.Journal of diabetes science and technology · 2024Pooled it
- Decision models in type 2 diabetes mellitus: A systematic review.Acta diabetologica · 2021Pooled it
- Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics.BMJ open · 2019Pooled it
- Prognostic prediction models for diabetic retinopathy progression: a systematic review.Eye (London, England) · 2019Pooled it
- The Complex Relationship Between HDL/LDL Cholesterol, Stroke and Cardiovascular Disease.Healthcare (Basel, Switzerland) · 2026Article
- Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis.Communications medicine · 2024Article
- Development and validation of predictive risk models for sight threatening diabetic retinopathy in patients with type 2 diabetes to be applied as triage tools in resource limited settings.EClinicalMedicine · 2022Article
- Performance of the UK Prospective Diabetes Study Outcomes Model 2 in a Contemporary UK Type 2 Diabetes Trial Cohort.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022Article
- Cost-effectiveness analysis of dapagliflozin for the treatment of type 2 diabetes mellitus in Spain: results of the DECLARE-TIMI 58 study.BMC health services research · 2022Article
- Article
- Macrovascular Risk Equations Based on the CANVAS Program.PharmacoEconomics · 2021Article
- Long-term outcomes after revascularization and medical therapy in premature coronary artery disease for cost-effectiveness study: A systematic review protocol.Journal of education and health promotion · 2021Article
- Development and Internal Validation of a Discrete Event Simulation Model of Diabetic Kidney Disease Using CREDENCE Trial Data.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020Article
- The Use of Computer Simulation Modeling to Estimate Complications in Patients with Type 2 Diabetes Mellitus: Comparative Validation of the Cornerstone Diabetes Simulation Model.PharmacoEconomics - open · 2020Article
- Predictors for diabetic retinopathy progression-findings from nominal group technique and Evidence review.BMJ open ophthalmology · 2020Article
- Development and Validation of PREDICT-DM: A New Microsimulation Model to Project and Evaluate Complications and Treatments of Type 2 Diabetes Mellitus.Diabetes technology & therapeutics · 2019Article
- Novel Risk Engine for Diabetes Progression and Mortality in USA: Building, Relating, Assessing, and Validating Outcomes (BRAVO).PharmacoEconomics · 2018Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveEconomic evaluations of new diabetes therapies rely heavily upon the UK Prospective Diabetes Study (UKPDS) equations for prediction of cardiovascular events; however, concerns persist regarding their relevance to current clinical practice and appropriate use in populations other than newly diagnosed patients. This study refits the UKPDS 68 event equations, using contemporary data describing low- and intermediate-risk patients. RESEARCH DESIGN AND
methodsAnonymized patient data describing demographics, risk factors and incidence of cardiovascular and microvascular events were extracted from The Health Improvement Network (THIN) database over the 10-year period from 1 January 2000 to 31 December 2009. Following multiple imputation of missing values, accelerated failure-time Weibull regression equations were refitted to produce new coefficients for each risk group. Discriminatory performance was assessed and compared with both UKPDS 68 and UKPDS 82 risk equations, and the implication of coefficient choice within an economic evaluation was assessed using the Cardiff type 2 diabetes model.
resultsWhen applied to patient-level data, the three sets of coefficients (UKPDS, THIN low-risk and intermediate-risk) lead to fairly consistent predictions of the 5-year risk of events. Exceptions include lower predicted rates of myocardial infarction and higher rates of ischaemic heart disease, congestive heart failure and end-stage renal disease with both sets of revised THIN coefficients compared with UKPDS. Over a modelled lifetime, the coefficients derived from the low-risk data predict fewer total cardiovascular events compared with UKPDS, while those from the intermediate-risk data predict a greater number. The areas under the receiver-operating characteristic curves demonstrated a marginal improvement in the discriminatory performance of the refitted equations. The incremental cost-effectiveness ratio associated with dapagliflozin versus sulphonylurea in addition to metformin changed from £7,708 to £7,519 and £6,906 per QALY gained, using the THIN intermediate- and low-risk coefficients, respectively.
conclusionThe results suggest that while the UKPDS equations perform best in newly diagnosed patients, they may overpredict the lifetime risk in this group and underpredict it in patients with more advanced diabetes. Implementation of the revised coefficients will result in different absolute numbers of predicted diabetes-related events; however, they are not expected to significantly affect the conclusions of economic modelling.
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