Evidence map›Paper›PMID 26222704›Full record

ArticleDiabetes technology & therapeutics2015

The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation.

Wen Ye, Michael Brandle, Morton B Brown, William H Herman

Open access · greenAbstract readValidation Study
In one paragraph

Article in Diabetes technology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 32% of its field
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. A New Type 2 Diabetes Microsimulation Model to Estimate Long-Term Health Outcomes, Costs, and Cost-Effectiveness.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Article
  10. Cost-effectiveness of carotid artery stenting vs endarterectomy: A simulation.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
    Article
  11. Article
  12. Article
  13. Economic Simulation Modeling in Type 2 Diabetes.Current diabetes reports · 2020
    Review
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Wen Ye1 Department of Biostatistics, University of Michigan , Ann Arbor, Michigan.
Michael Brandle2 Division of Endocrinology and Diabetes , Kantonsspital St. Gallen, St. Gallen, Switzerland .
Morton B Brown1 Department of Biostatistics, University of Michigan , Ann Arbor, Michigan.
William H Herman3 Department of Internal Medicine, University of Michigan , Ann Arbor, Michigan.
University of Michigan · USDiabetes Australia · AU

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30DK020572NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P30DK092926
6 · The paper itself

Abstract

objectivesThe aim of this study was to develop and validate a computer simulation model for coronary heart disease (CHD) in type 2 diabetes mellitus (T2DM) that reflects current medical and surgical treatments. RESEARCH DESIGN AND

methodsWe modified the structure of the CHD submodel in the Michigan Model for Diabetes to allow for revascularization procedures before and after first myocardial infarction, for repeat myocardial infarctions and repeat revascularization procedures, and for congestive heart failure. Transition probabilities that reflect the direct effects of medical and surgical therapies on outcomes were derived from the literature and calibrated to recently published population-based epidemiologic studies and randomized controlled clinical trials. Monte Carlo techniques were used to implement a discrete-state and discrete-time multistate microsimulation model. Performance of the model was assessed using internal and external validation. Simple regression analysis (simulated outcome=b(0)+b(1)×published outcome) was used to evaluate the validation results.

resultsFor the 21 outcomes in the six studies used for internal validation, R(2) was 0.99, and the slope of the regression line was 0.98. For the 16 outcomes in the five studies used for external validation, R(2) was 0.81, and the slope was 0.84.

conclusionsOur new computer simulation model predicted the progression of CHD in patients with T2DM and will be incorporated into the Michigan Model for Diabetes to assess the cost-effectiveness of alternative strategies to prevent and treat T2DM.

Indexed as

Models, TheoreticalComputer SimulationCoronary DiseaseDiabetes Mellitus, Type 2HumansMonte Carlo Method

Identifiers

PMID26222704
PMCPMC4696433
OpenAlexW2152086159

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.