Evidence map›Paper›PMID 39819739›Full record

ArticleBJGP open2025

Diabetes complications in people with alcohol use disorder and type 2 diabetes.

Sarah Cook, Sonia Saxena, Rohini Mathur, Thomas Beaney, Shamini Gnani, Ana Luisa Neves, Arti Maini, Ravi Parekh, Kate Walters, David Osborn and 1 more

Abstract read
In one paragraph

Article in BJGP open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Sarah CookSchool of Public Health, Imperial College London, London, UK sarah.cook@lshtm.ac.uk.ORCID https://orcid.org/0000-0003-1250-2967
Sonia SaxenaSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-3787-2083
Rohini MathurWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0002-3817-8790
Thomas BeaneySchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-9709-7264
Shamini GnaniSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-6246-9590
Ana Luisa NevesSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-7107-7211
Arti MainiSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-0951-5604
Ravi ParekhSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0219-4956
Kate WaltersPrimary Care and Population Health, University College London, London, UK.ORCID https://orcid.org/0000-0003-2173-2430
David OsbornDivision of Psychiatry, University College London, London, UK.ORCID https://orcid.org/0000-0003-2519-1539
Jennifer K QuintSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0149-4869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople living with alcohol use disorder (AUD) who develop type 2 diabetes (T2DM) may be at higher risk of diabetes complications.

aimOur aim was to compare diabetes monitoring and incidence of diabetes complications between people with and without AUD prior to T2DM diagnosis attending primary care in England. DESIGN &

settingWe used the Clinical Practice Research Datalink Aurum linked with Hospital Episode Statistics and Office for National Statistics mortality data. The target population was people with incident T2DM diagnosed between 2004 and 2019.

methodWe defined AUD from codes indicating i) clinical diagnosis; ii) alcohol withdrawal; or iii) chronic alcohol-related harm. Outcomes were end-stage renal disease (ESRD), lower limb amputation, myocardial infarction (MI), stroke, cardiovascular disease (CVD) mortality, and all-cause mortality. We compared yearly HbA1c, creatinine, and cholesterol monitoring activities for the first 5 years post T2DM diagnosis.

resultsThe study population was 543 509 people, of whom 15 237 (2.8%) had a code for AUD. Adjusting for measured confounders, people with AUD had higher rates of ESRD ( incidence rate ratio [IRR] 1.95, 95% confidence intervals [CI] = 1.71 to 2.23), lower limb amputation (IRR 1.78, 95% CI = 1.50 to 2.21), stroke (IRR 1.36, 95% CI = 1.25 to 1.47), CVD mortality (IRR 1.74, 95% CI = 1.63 to 1.86), and all-cause mortality (IRR 2.10, 95% CI = 2.04 to 2.17) but not MI (IRR 0.91, 95% CI = 0.82 to 1.00) compared with people without AUD. Laboratory diabetes monitoring was high in people with (83.5-91.1%) and without (83.7-92.4%) AUD.

conclusionPeople with AUD had nearly double the rates of most of the diabetes complications investigated compared with people without AUD.

Indexed as

AddictionsComorbidityDiabetes

Identifiers

PMID39819739
PMCPMC12421267

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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.