Evidence map›Paper›PMID 23793713›Full record

ArticleDiabetologia2013

UKPDS outcomes model 2: a new version of a model to simulate lifetime health outcomes of patients with type 2 diabetes mellitus using data from the 30 year United Kingdom Prospective Diabetes Study: UKPDS 82.

A J Hayes, J Leal, A M Gray, R R Holman, P M Clarke

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Article in Diabetologia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed, 13 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

261 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  12. Addressing Regional Differences in Diabetes Progression: Global Calibration for Diabetes Simulation Model.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2019
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201 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

A J HayesSydney School of Public Health, University of Sydney, Sydney, NSW 2006, Australia. alison.hayes@sydney.edu.au
J Leal
A M Gray
R R Holman
P M Clarke

Funding

Medical Research Council 87386Medical Research Council G0801042
6 · The paper itself

Abstract

aims/hypothesisThe aim of this project was to build a new version of the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS-OM1), a patient-level simulation tool for predicting lifetime health outcomes of people with type 2 diabetes mellitus.

methodsData from 5,102 UKPDS patients from the 20 year trial and the 4,031 survivors entering the 10 year post-trial monitoring period were used to derive parametric proportional hazards models predicting absolute risk of diabetes complications and death. We re-estimated the seven original event equations and estimated new equations for diabetic ulcer and some second events. The additional data permitted inclusion of new risk factor predictors such as estimated GFR. We also developed four new equations for all-cause mortality. Internal validation of model predictions of cumulative incidence of all events and death was carried out and a contemporary patient-level dataset was used to compare 10 year predictions from the original and the new models.

resultsModel equations were based on a median 17.6 years of follow-up and up to 89,760 patient-years of data, providing double the number of events, greater precision and a larger number of significant covariates. The new model, UKPDS-OM2, is internally valid over 25 years and predicts event rates for complications, which are lower than those from the existing model. CONCLUSIONS/

interpretationThe new UKPDS-OM2 has significant advantages over the existing model, as it captures more outcomes, is based on longer follow-up data, and more comprehensively captures the progression of diabetes. Its use will permit detailed and reliable lifetime simulations of key health outcomes in people with type 2 diabetes mellitus.

Indexed as

AdultAgedDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedModels, TheoreticalOutcome Assessment, Health CareProspective StudiesUnited Kingdom

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.