Evidence map›Paper›PMID 34309688›Full record

ArticleDiabetologia2021

Development of a life expectancy table for individuals with type 1 diabetes.

An Tran-Duy, Josh Knight, Philip M Clarke, Ann-Marie Svensson, Björn Eliasson, Andrew J Palmer

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Epidemiology of Type 1 Diabetes.Current cardiology reports · 2022
    Review
  10. Article
  11. SHAREDiabetes spectrum : a publication of the American Diabetes Association · 2022
    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

6 authors at 4 institutions in 3 countries.

An Tran-DuyCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. an.tran@unimelb.edu.au.ORCID 0000-0003-0224-2858
Josh KnightCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-5268-8263
Philip M ClarkeCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-7555-5348
Ann-Marie SvenssonDepartment of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-8121-2045
Björn EliassonDepartment of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-2569-4160
Andrew J PalmerCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-9703-7891
The University of Melbourne · AUCentre of Registers Vastra Gotaland · SEUniversity of Gothenburg · SEUniversity of Tasmania · AU

Funding

Department of Health NIHR-BRC-1215-20008
6 · The paper itself

Abstract

aims/hypothesisTables reporting life expectancies by common risk factors are available for individuals with type 2 diabetes; however, there is currently no published equivalent for individuals with type 1 diabetes. We aimed to develop a life expectancy table using a recently published simulation model for individuals with type 1 diabetes.

methodsThe simulation model was developed using data from a real-world population of patients with type 1 diabetes selected from the Swedish National Diabetes Register. The following six important risk factors were included in the life table: sex; age; current smoking status; BMI; eGFR; and HbA

resultsThere was a substantial variation in life expectancy across patients with different risk factor levels. Life expectancy of 20-year-old men varied from 29.3 years to 50.6 years, constituting a gap of 21.3 years between those with worst and best risk factor levels. In 20-year-old women, this gap was 18.9 years (life expectancy range 35.0-53.9 years). The variation in life expectancy was a function of the combination of risk factor values, with HbA CONCLUSIONS/

interpretationThe life expectancy table generated in this study shows a substantial variation in life expectancy across individuals with different modifiable risk factors. The table allows for rapid communications of risk in an easily understood format between healthcare professionals, health economists, researchers, policy makers and patients. Particularly, it supports clinicians in their discussion with patients about the benefits of improving risk factors.

Indexed as

Life ExpectancyAdultAge DistributionBody Mass IndexDiabetes Mellitus, Type 1Disease-Free SurvivalFemaleGlomerular Filtration RateGlycated HemoglobinHumansMaleMiddle AgedRegistriesRisk AssessmentRisk FactorsSmokingGlycated Hemoglobinhemoglobin A1c protein, humanClinical decision supportComputer simulationDecision aidsEducationLife expectancyMathematical modellingMortalityRisk factorsType 1 diabetesVisual tools

Identifiers

PMID34309688
PMCPMC8310903
OpenAlexW3184909907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.