Evidence map›Paper›PMID 35577589›Full record

Observational studyThe British journal of general practice : the journal of the Royal College of General Practitioners2022

Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database.

Rohini Mathur, Sally A Hull, Sam Hodgson, Sarah Finer

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The British journal of general practice : the journal of the Royal College of General Practitioners, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

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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 at 1 institution in 1 country.

Rohini MathurInstitute for Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, and Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London.
Sally A HullInstitute for Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London.
Sam HodgsonPrimary Care Research Centre, University of Southampton, Southampton, UK.
Sarah FinerInstitute for Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London.
NIHR Southampton Biomedical Research Centre · GB

Funding

Wellcome Trust 201375/Z/16/Z
6 · The paper itself

Abstract

backgroundSubgroups of type 2 diabetes (T2DM) have been well characterised in experimental studies. It is unclear, however, whether the same approaches can be used to characterise T2DM subgroups in UK primary care populations and their associations with clinical outcomes.

aimTo derive T2DM subgroups using primary care data from a multi-ethnic population, evaluate associations with glycaemic control, treatment initiation, and vascular outcomes, and to understand how these vary by ethnicity. DESIGN AND

settingAn observational cohort study in the East London Primary Care Database from 2008 to 2018.

methodLatent-class analysis using age, sex, glycated haemoglobin, and body mass index at diagnosis was used to derive T2DM subgroups in white, South Asian, and black groups. Time to treatment initiation and vascular outcomes were estimated using multivariable Cox-proportional hazards regression.

resultsIn total, 31 931 adults with T2DM were included: 47% South Asian (

conclusionClinically useful T2DM subgroups, identified at diagnosis, can be generated in routine real-world multi-ethnic populations, and may offer a pragmatic means to develop stratified primary care pathways and improve healthcare resource allocation.

Indexed as

Diabetes Mellitus, Type 2AdultEthnicityGlycated HemoglobinHumansHypoglycemic AgentsLondonGlycated HemoglobinHypoglycemic Agentsepidemiologyinequalitiesprimary caretype 2 diabetes

Identifiers

PMID35577589
PMCPMC9119813
OpenAlexW4226035360

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.