Evidence map›Paper›PMID 32532756›Full record

ArticleDiabetes care2020

A Patient-Level Model to Estimate Lifetime Health Outcomes of Patients With Type 1 Diabetes.

An Tran-Duy, Josh Knight, Andrew J Palmer, Dennis Petrie, Tom W C Lung, William H Herman, Björn Eliasson, Ann-Marie Svensson, Philip M Clarke

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Prolonging Partial Remission in Type 1 Diabetes: The Role of Low-Carbohydrate Diet: A Literature Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  7. Article
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  11. Article
  12. Review
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  16. Observational
  17. Obesity and Chronic Kidney Disease in US Adults With Type 1 and Type 2 Diabetes Mellitus.The Journal of clinical endocrinology and metabolism · 2022
    Article
  18. Article
  19. Article
  20. Article
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

9 authors at 5 institutions in 4 countries.

An Tran-DuyCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-0224-2858
Josh KnightCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Andrew J PalmerCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Dennis PetrieCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Tom W C LungThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
William H HermanDepartments of Internal Medicine and Epidemiology, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-0502-674X
Björn EliassonNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.ORCID 0000-0003-2569-4160
Ann-Marie SvenssonNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Philip M ClarkeCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia philip.clarke@ndph.ox.ac.uk.ORCID 0000-0002-7555-5348
The University of Melbourne · AUCentre of Registers Vastra Gotaland · SEThe University of Sydney · AUUniversity of Michigan · USUniversity of Tasmania · AU

Funding

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 DK092926
6 · The paper itself

Abstract

objectiveTo develop a patient-level simulation model for predicting lifetime health outcomes of patients with type 1 diabetes and as a tool for economic evaluation of type 1 diabetes treatment based on data from a large, longitudinal cohort. RESEARCH DESIGN AND

methodsData for model development were obtained from the Swedish National Diabetes Register. We derived parametric proportional hazards models predicting the absolute risk of diabetes complications and death based on a wide range of clinical variables and history of complications. We used linear regression models to predict risk factor progression. Internal validation was performed, estimates of life expectancies for different age-sex strata were computed, and the impact of key risk factors on life expectancy was assessed.

resultsThe study population consisted of 27,841 patients with type 1 diabetes with a mean duration of follow-up of 7 years. Internal validation showed good agreement between the predicted and observed cumulative incidence of death and 10 complications. Simulated life expectancy was ∼13 years lower than that of the sex- and age-matched general population, and patients with type 1 diabetes could expect to live with one or more complications for ∼40% of their remaining life. Sensitivity analysis showed the importance of preventing renal dysfunction, hypoglycemia, and hyperglycemia as well as lowering HbA

conclusionsOur model was able to simulate risk factor progression and event histories that closely match the observed outcomes and to project events occurring over patients' lifetimes. The model can serve as a tool to estimate the impact of changing clinical risk factors on health outcomes to inform economic evaluations of interventions in type 1 diabetes.

Indexed as

Life ExpectancyModels, TheoreticalPatient Outcome AssessmentAdolescentAdultChildCohort StudiesCost-Benefit AnalysisDiabetes ComplicationsDiabetes Mellitus, Type 1FemaleHumansLinear ModelsLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID32532756
PMCPMC7372053
OpenAlexW3035503799

What Socratic 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 Socratic graph.