Evidence map›Paper›PMID 34399960›Full record

ReviewEndocrinology and metabolism clinics of North America2021

Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches.

Meryem Cicek, James Buckley, Jonathan Pearson-Stuttard, Edward W Gregg

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Endocrinology and metabolism clinics of North America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prognostic models for all-cause and cardiovascular mortality in type 2 diabetes: Systematic review.Diabetic medicine : a journal of the British Diabetic Association · 2026
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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

4 authors.

Meryem CicekDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, Charing Cross Campus, Reynolds Building, St Dunstan's Road, London W6 8RP, UK. Electronic address: meryem.cicek18@imperial.ac.uk.
James BuckleyDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK.
Jonathan Pearson-StuttardDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK.
Edward W GreggDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK.

Funding

Medical Research Council MR/V005057/1
6 · The paper itself

Abstract

Patients with type 2 diabetes mellitus (T2DM) often live with and develop multiple co-occurring conditions, namely multimorbidity, with diffuse impacts on clinical care and patient quality of life. However, literature characterizing T2DM-related multimorbidity patterns is limited. This review summarizes the findings from the emerging literature characterizing and quantifying the association of T2DM with multimorbidity clusters. The authors' findings reveal 3 dominant cluster types appearing in patients with T2DM-related multimorbidity, such as cardiometabolic precursor conditions, vascular conditions, and mental health conditions. The authors recommend that holistic patient care centers around early detection of other comorbidities and consideration of wider risk factors.

Indexed as

Diabetes Mellitus, Type 2MultimorbidityCluster AnalysisComorbidityHumansQuality of LifeClusteringComorbiditiesComplicationsMultimorbidityPatternsPopulation healthRisk stratificationType 2 diabetes mellitus

Identifiers

PMID34399960
PMCPMC8383848

What OpenQuestion holds

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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.