Evidence map›Paper›PMID 40608287›Full record

ArticleDiabetes care2025

A New Simulation Model to Estimate the Long-term Health and Cost Outcomes of Interventions for People With Type 1 Diabetes.

Carolina Barbosa, Thomas J Hoerger, Nicole A Mack, Georgiy V Bobashev, Simon Neuwahl, Rainer Hilscher, Trevor Orchard, Tina Costacou, Rachel G Miller, Ralph D'Agostino and 1 more

Abstract read
In one paragraph

Article in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carolina BarbosaRTI International, Research Triangle Park, NC.ORCID 0000-0002-7535-9443
Thomas J HoergerRTI International, Research Triangle Park, NC.
Nicole A MackRTI International, Research Triangle Park, NC.
Georgiy V BobashevRTI International, Research Triangle Park, NC.
Simon NeuwahlRTI International, Research Triangle Park, NC.
Rainer HilscherRTI International, Research Triangle Park, NC.
Trevor OrchardUniversity of Pittsburgh, Pittsburgh, PA.
Tina CostacouUniversity of Pittsburgh, Pittsburgh, PA.
Rachel G MillerUniversity of Pittsburgh, Pittsburgh, PA.
Ralph D'AgostinoWake Forest University School of Medicine, Winston-Salem, NC.
Ping ZhangCenters for Disease Control and Prevention, Atlanta, GA.

Funding

Epidemiology of Diabetes Complications (EDC) Phase II: renewalR37DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ORCHARD, TREVOR J. · 2009 to 2018
$6.5M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
CDC HHS 200-2016-92270National Institutes of Health (NIH) DK34818NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R37 DK034818
6 · The paper itself

Abstract

objectiveTo develop a U.S.-based microsimulation model for assessing the cost-effectiveness of interventions to manage type 1 diabetes. RESEARCH DESIGN AND

methodsWe developed risk equations for 14 diabetes-related complications and mortality, 12 risk factor progression equations, and one equation for utilities associated with 14 complications using data from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) studies and the Epidemiology of Diabetes Complications (EDC) study. We integrated all equations into a simulation model. We conducted internal and external validation and demonstrated the utility of the model using a real-world example. Main model-generated outcomes included cumulative incidence of diabetes-related complications, life years, quality-adjusted life years, medical costs, and incremental cost-effectiveness ratios.

resultsThe model generates long-term clinical and economic outcomes from changes in risk factors of type 1 diabetes complications. Internal validation comparing modeled outcomes to observed data used to develop the model yielded good prediction accuracy, with mean absolute percentage error across all complications of 9% and correlation of cumulative failure rates above 0.9. External validation results were mixed, with occurrence of slight under- or overprediction across complications and studies. We illustrated the model with a case study estimating the effects of expanding the use of an insulin pump with continuous glucose monitoring to all people with type 1 diabetes.

conclusionsOur new comprehensive type 1 diabetes simulation model can generate valid and accurate results for assessing the long-term cost-effectiveness of interventions to manage type 1 diabetes in the U.S.

Indexed as

Diabetes Mellitus, Type 1AdultComputer SimulationCost-Benefit AnalysisDiabetes ComplicationsFemaleHumansMaleQuality-Adjusted Life Years

Identifiers

PMID40608287
PMCPMC12368381

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.