Evidence map›Paper›PMID 35513556›Full record

ArticleScientific reports2022

Health burden in type 2 diabetes and prediabetes in The Maastricht Study.

Marja G J Veugen, Veronica G Onete, Ronald M A Henry, Hans-Peter Brunner-La Rocca, Annemarie Koster, Pieter C Dagnelie, Nicolaas C Schaper, Simone J S Sep, Carla J H van der Kallen, Martin P J van Boxtel and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
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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

18 authors.

Marja G J VeugenDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands. marja.veugen@mumc.nl.ORCID 0000-0003-1665-6090
Veronica G OneteDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Ronald M A HenryDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Hans-Peter Brunner-La RoccaCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Annemarie KosterCAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Pieter C DagnelieDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Nicolaas C SchaperDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Simone J S SepDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Carla J H van der KallenDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Martin P J van BoxtelDepartment of Psychiatry and Neuropsychology and MHeNS School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Koen D ReesinkCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Johannes S SchoutenDepartment of Ophthalmology, Maastricht University Medical Centre +, Maastricht, The Netherlands.
Hans H C M SavelbergDepartment of Human Movement Sciences, Maastricht University, Maastricht, The Netherlands.
Sebastian KöhlerDepartment of Psychiatry and Neuropsychology and MHeNS School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Frans R VerheyDepartment of Psychiatry and Neuropsychology and MHeNS School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Joop P W van den BerghDepartment of Family Medicine, Maastricht University, Maastricht, The Netherlands.
Miranda T SchramDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands.
Coen D A StehouwerDepartment of Internal Medicine, Maastricht University Medical Centre +, P. Debyelaan 25, P.O. Box 5800, 6202AZ, Maastricht, The Netherlands. cda.stehouwer@mumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mortality in type 2 diabetes, is determined not only by classical complications, but also by comorbidities, and is linked to hyperglycaemia and apparent even in prediabetes. We aimed to comprehensively investigate, in a population-based cohort, health burden defined as the presence of comorbidities in addition to classical complications and cardiometabolic risk factors, in not only type 2 diabetes but also prediabetes. Such population-based study has not been performed previously. Extensive phenotyping was performed in 3,410 participants of the population-based Maastricht Study (15.0% prediabetes and 28.6% type 2 diabetes) to assess presence of 17 comorbidities, six classical complications, and ten cardiometabolic risk factors. These were added up into individual and combined sum scores and categorized. Group differences were studied with multinomial regression analyses adjusted for age and sex. Individuals with type 2 diabetes and prediabetes, as compared to normal glucose metabolism (NGM), had greater comorbidities, classical complications, cardiometabolic risk factors and combined sum scores (comorbidities sum score ≥ 3: frequencies (95% CI) 61.5% (57.6;65.4) and 41.2% (36.5;45.9) vs. 25.4% (23.5;27.4), p-trend < 0.001; classical complications ≥ 2 (26.6% (23.1;30.1; P < 0.001 vs. NGM) and 10.1% (7.8;12.7; P = 0.065 vs NGM) vs. 8.0% (6.9;9.3)); cardiometabolic risk factors ≥ 6 (39.7% (35.9;43.4) and 28.5% (24.5;32.6) vs. 14.0% (12.5;15.6); p-trend < 0.001); combined ≥ 8 (66.6% (62.7;70.5) and 48.4% (43.7;53.1) vs. 26.0%(24.1;28.0), p-trend < 0.001). Type 2 diabetes and prediabetes health burden was comparable to respectively 32 and 14 years of ageing. Our population-based study shows, independently of age and sex, a considerable health burden in both type 2 diabetes and prediabetes, which to a substantial extent can be attributed to comorbidities in addition to classical complications and cardiometabolic risk factors. Our findings emphasize the necessity of comorbidities' awareness in (pre)diabetes and for determining the exact role of hyperglycaemia in the occurrence of comorbidities.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaPrediabetic StateBlood GlucoseCohort StudiesHumansRisk FactorsBlood Glucose

Identifiers

PMID35513556
PMCPMC9072328

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