Evidence map›Paper›PMID 33214188›Full record

ArticleBMJ open diabetes research & care2020

Lifetime risk to progress from pre-diabetes to type 2 diabetes among women and men: comparison between American Diabetes Association and World Health Organization diagnostic criteria.

Thijs T W van Herpt, Symen Ligthart, Maarten J G Leening, Mandy van Hoek, Aloysius G Lieverse, M Arfan Ikram, Eric J G Sijbrands, Abbas Dehghan, Maryam Kavousi

Abstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  13. Prediabetes in Transition: Insights from the Tehran Lipid and Glucose Study.International journal of endocrinology and metabolism · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
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  20. Improving T2D machine learning-based prediction accuracy with SNPs and younger age.Computational and structural biotechnology journal · 2025
    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.

Thijs T W van HerptDepartment of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0003-3677-9039
Symen LigthartDepartment of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Maarten J G LeeningDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Mandy van HoekDepartment of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-2957-5436
Aloysius G LieverseDepartment of Internal Medicine, Máxima Medical Center, Eindhoven, The Netherlands.
M Arfan IkramDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Eric J G SijbrandsDepartment of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Abbas DehghanDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Maryam KavousiDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands m.kavousi@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPre-diabetes, a status conferring high risk of overt diabetes, is defined differently by the American Diabetes Association (ADA) and the WHO. We investigated the impact of applying definitions of pre-diabetes on lifetime risk of diabetes in women and men from the general population. RESEARCH DESIGN AND

methodsWe used data from 8844 women without diabetes and men aged ≥45 years from the prospective population-based Rotterdam Study in the Netherlands. In both gender groups, we calculated pre-diabetes prevalence according to ADA and WHO criteria and estimated the 10-year and lifetime risk to progress to overt diabetes with adjustment for competing risk of death.

resultsOut of 8844 individuals, pre-diabetes was identified in 3492 individuals (prevalence 40%, 95% CI 38% to 41%) according to ADA and 1382 individuals (prevalence 16%, 95% CI 15% to 16%) according to WHO criteria. In both women and men and each age category, ADA prevalence estimates doubled WHO-defined pre-diabetes. For women and men aged 45 years having ADA-defined pre-diabetes, the 10-year risk of diabetes was 14.2% (95% CI 6.0% to 22.5%) and 9.2% (95% CI 3.4% to 15.0%) compared with 23.2% (95% CI 6.8% to 39.6%) and 24.6% (95% CI 8.4% to 40.8%) in women and men with WHO-defined pre-diabetes. At age 45 years, the remaining lifetime risk to progress to overt diabetes was 57.5% (95% CI 51.8% to 63.2%) vs 80.2% (95% CI 74.1% to 86.3%) in women and 46.1% (95% CI 40.8% to 51.4%) vs 68.4% (95% CI 58.3% to 78.5%) in men with pre-diabetes according to ADA and WHO definitions, respectively.

conclusionPrevalence of pre-diabetes differed considerably in both women and men when applying ADA and WHO pre-diabetes definitions. Women with pre-diabetes had higher lifetime risk to progress to diabetes. The lifetime risk of diabetes was lower in women and men with ADA-defined pre-diabetes as compared with WHO. Improvement of pre-diabetes definition considering appropriate sex-specific and age-specific glycemic thresholds may lead to better identification of individuals at high risk of diabetes.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateFemaleGlucose Tolerance TestHumansMaleMiddle AgedNetherlandsProspective StudiesUnited StatesWorld Health Organizationdiabetes mellitusdiagnosispre-diabetic staterisk assessmenttype 2

Identifiers

PMID33214188
PMCPMC7678236

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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.