ArticleBMJ (Clinical research ed.)2008
Different strategies for screening and prevention of type 2 diabetes in adults: cost effectiveness analysis.
Article in BMJ (Clinical research ed.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 7 of them syntheses that pooled it.
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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.
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Who cites it
107 citing papers in PubMed, 7 syntheses or guidelines pooled it, 290 citations in OpenAlex.
- Decision models of prediabetes populations: A systematic review.Diabetes, obesity & metabolism · 2019Pooled it
- Pooled it
- Lifestyle interventions in preventing new type 2 diabetes in Asian populations.Internal and emergency medicine · 2016Pooled it
- Economic Evaluation of Combined Diet and Physical Activity Promotion Programs to Prevent Type 2 Diabetes Among Persons at Increased Risk: A Systematic Review for the Community Preventive Services Task Force.Annals of internal medicine · 2015Pooled it
- Pooled it
- Risk models and scores for type 2 diabetes: systematic review.BMJ (Clinical research ed.) · 2011Pooled it
- Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions.BMC public health · 2011Pooled it
- The community-based prevention of diabetes (ComPoD) study: a randomised, waiting list controlled trial of a voluntary sector-led diabetes prevention programme.The international journal of behavioral nutrition and physical activity · 2019Trial
- Five-year effectiveness of short messaging service (SMS) for pre-diabetes.BMC research notes · 2018Trial
- Trial
- Implementation salvage experiences from the Melbourne diabetes prevention study.BMC public health · 2012Trial
- Walking away from type 2 diabetes: trial protocol of a cluster randomised controlled trial evaluating a structured education programme in those at high risk of developing type 2 diabetes.BMC family practice · 2012Trial
- More than measurement: practice team experiences of screening for type 2 diabetes.Family practice · 2010Trial
- Trial
- Are people with negative diabetes screening tests falsely reassured? Parallel group cohort study embedded in the ADDITION (Cambridge) randomised controlled trial.BMJ (Clinical research ed.) · 2009Trial
- Impact of an informed choice invitation on uptake of screening for diabetes in primary care (DICISION): trial protocol.BMC public health · 2009Trial
- User Experiences With a Social Robot for Cardiometabolic Risk Assessment in a Community Setting in Uppsala, Sweden: Qualitative Semistructured Interview Study.Journal of medical Internet research · 2026Article
- Early viability assessment of a Business-to-Consumer (B2C) model for digital diabetes screening in Switzerland.BMC health services research · 2026Article
- Cost-effectiveness of prevention program for type 2 diabetes mellitus in high risk patients in the Republic of Srpska, Bosnia and Herzegovina.The Libyan journal of medicine · 2025Article
- Development and validation of a type 2 diabetes model to estimate the cost-effectiveness of diabetes interventions across the care continuum.International journal of technology assessment in health care · 2025Article
47 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
Abstract
objectiveTo compare four potential screening strategies, and subsequent interventions, for the prevention and treatment of type 2 diabetes: (a) screening for type 2 diabetes to enable early detection and treatment, (b) screening for type 2 diabetes and impaired glucose tolerance, intervening with lifestyle interventions in those with a diagnosis of impaired glucose tolerance to delay or prevent diabetes, (c) as for (b) but with pharmacological interventions, and (d) no screening.
designCost effectiveness analysis based on development and evaluation of probabilistic, comprehensive economic decision analytic model, from screening to death.
settingA hypothetical population, aged 45 at time of screening, with above average risk of diabetes. DATA SOURCES: Published clinical trials and epidemiological studies retrieved from electronic bibliographic databases; supplementary data obtained from the Department of Health statistics for England and Wales, the screening those at risk (STAR) study, and the Leicester division of the ADDITION study.
methodsA hybrid decision tree/Markov model was developed to simulate the long term effects of each screening strategy, in terms of both clinical and cost effectiveness outcomes. The base case model assumed a 50 year time horizon with discounting of both costs and benefits at 3.5%. Sensitivity analyses were carried out to investigate assumptions of the model and to identify which model inputs had most impact on the results.
resultsEstimated costs for each quality adjusted life year (QALY) gained (discounted at 3.5% a year for both costs and benefits) were pound14,150 (euro17 560; $27,860) for screening for type 2 diabetes, pound6242 for screening for diabetes and impaired glucose tolerance followed by lifestyle interventions, and pound7023 for screening for diabetes and impaired glucose tolerance followed by pharmacological interventions, all compared with no screening. At a willingness-to-pay threshold of pound20,000 the probability of the intervention being cost effective was 49%, 93%, and 85% for each of the active screening strategies respectively.
conclusionsScreening for type 2 diabetes and impaired glucose tolerance, with appropriate intervention for those with impaired glucose tolerance, in an above average risk population aged 45, seems to be cost effective. The cost effectiveness of a policy of screening for diabetes alone, which offered no intervention to those with impaired glucose tolerance, is still uncertain.
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Registered trials
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.