Evidence map›Paper›PMID 38206363›Full record

ArticleDiabetologia2024

Disease severity-based subgrouping of type 2 diabetes does not parallel differences in quality of life: the Maastricht Study.

Nikki C C Werkman, Gema García-Sáez, Johannes T H Nielen, Jose Tapia-Galisteo, Francisco J Somolinos-Simón, Maria E Hernando, Junfeng Wang, Li Jiu, Wim G Goettsch, Carla J H van der Kallen and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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

17 authors at 5 institutions in 2 countries.

Nikki C C WerkmanCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0002-3878-8302
Gema García-SáezBioengineering and Telemedicine Group, Centro de Tecnología Biomédica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.ORCID 0000-0002-8396-8185
Johannes T H NielenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands. yannick.nielen@mumc.nl.ORCID 0000-0002-3633-2504
Jose Tapia-GalisteoBioengineering and Telemedicine Group, Centro de Tecnología Biomédica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.ORCID 0000-0002-0456-3359
Francisco J Somolinos-SimónBioengineering and Telemedicine Group, Centro de Tecnología Biomédica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.ORCID 0000-0001-7096-1833
Maria E HernandoBioengineering and Telemedicine Group, Centro de Tecnología Biomédica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.ORCID 0000-0001-6182-313X
Junfeng WangDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Li JiuDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Wim G GoettschDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-8022-7496
Carla J H van der KallenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0003-1468-8793
Annemarie KosterDepartment of Social Medicine, Maastricht University, Maastricht, the Netherlands.ORCID 0000-0003-1583-7391
Casper G SchalkwijkCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0003-0190-2690
Hein de VriesDepartment of Epidemiology, Maastricht University, Maastricht, the Netherlands.ORCID 0000-0002-3640-2517
Nanne K de VriesSchool for Public Health and Primary Care (CAPHRI), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0002-4348-707X
Simone J P M EussenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0003-0559-6838
Johanna H M DriessenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0002-4503-6408
Coen D A StehouwerCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0001-8752-3223
Maastricht University · NLBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESUtrecht University · NLMaastricht University Medical Centre · NLUniversidad Politécnica de Madrid · ES

Funding

HORIZON EUROPE European Innovation Council 825162
6 · The paper itself

Abstract

aims/hypothesisType 2 diabetes is a highly heterogeneous disease for which new subgroups ('clusters') have been proposed based on disease severity: moderate age-related diabetes (MARD), moderate obesity-related diabetes (MOD), severe insulin-deficient diabetes (SIDD) and severe insulin-resistant diabetes (SIRD). It is unknown how disease severity is reflected in terms of quality of life in these clusters. Therefore, we aimed to investigate the cluster characteristics and cluster-wise evolution of quality of life in the previously defined clusters of type 2 diabetes.

methodsWe included individuals with type 2 diabetes from the Maastricht Study, who were allocated to clusters based on a nearest centroid approach. We used logistic regression to evaluate the cluster-wise association with diabetes-related complications. We plotted the evolution of HbA

resultsWe included 127 newly diagnosed and 585 already diagnosed individuals. Already diagnosed people in the SIDD cluster were less likely to reach glycaemic control than people in the other clusters, with an HR compared with MARD of 0.31 (95% CI 0.22, 0.43). There were few differences in the mental component score of the SF-36 in both newly and already diagnosed individuals. In both groups, the MARD cluster had a higher physical component score of the SF-36 than the other clusters, and the MOD cluster scored similarly to the SIDD and SIRD clusters. CONCLUSIONS/

interpretationDisease severity suggested by the clusters of type 2 diabetes is not entirely reflected in quality of life. In particular, the MOD cluster does not appear to be moderate in terms of quality of life. Use of the suggested cluster names in practice should be carefully considered, as the non-neutral nomenclature may affect disease perception in individuals with type 2 diabetes and their healthcare providers.

Indexed as

Diabetes ComplicationsDiabetes Mellitus, Type 2Insulin ResistanceHumansInsulinQuality of LifeInsulinComplicationsQuality of lifeSubgroups

Identifiers

PMID38206363
PMCPMC10904551
OpenAlexW4390744343

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.