Evidence map›Paper›PMID 38296292›Full record

ArticleBMJ open2024

Risk factor associations for severe COVID-19, influenza and pneumonia in people with diabetes to inform future pandemic preparations: UK population-based cohort study.

Rhian Hopkins, Katherine G Young, Nicholas J Thomas, James Godwin, Daniyal Raja, Bilal A Mateen, Robert J Challen, Sebastian J Vollmer, Beverley M Shields, Andrew P McGovern and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

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  12. Pathology of Diabetes-Induced Immune Dysfunction.International journal of molecular sciences · 2024
    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 at 4 institutions in 3 countries.

Rhian HopkinsInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK rh530@exeter.ac.uk.ORCID 0000-0001-6054-3582
Katherine G YoungInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.ORCID 0000-0003-2570-3864
Nicholas J ThomasInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.
James GodwinInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.
Daniyal RajaInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.
Bilal A MateenThe Alan Turing Institute, London, UK.
Robert J ChallenEngineering Mathematics, University of Bristol, Bristol, UK.
Sebastian J VollmerDepartment of Statistics, University of Warwick, Coventry, UK.
Beverley M ShieldsInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.ORCID 0000-0003-3785-327X
Andrew P McGovernInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-6833-9399
John M DennisInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-7171-732X
University of Exeter · GBThe Alan Turing Institute · GBUniversity of Bristol · GBUniversity of Warwick · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveThis study aimed to compare clinical and sociodemographic risk factors for severe COVID-19, influenza and pneumonia, in people with diabetes.

designPopulation-based cohort study.

settingUK primary care records (Clinical Practice Research Datalink) linked to mortality and hospital records.

participantsIndividuals with type 1 and type 2 diabetes (COVID-19 cohort: n=43 033 type 1 diabetes and n=584 854 type 2 diabetes, influenza and pneumonia cohort: n=42 488 type 1 diabetes and n=585 289 type 2 diabetes). PRIMARY AND SECONDARY OUTCOME MEASURES: COVID-19 hospitalisation from 1 February 2020 to 31 October 2020 (pre-COVID-19 vaccination roll-out), and influenza and pneumonia hospitalisation from 1 September 2016 to 31 May 2019 (pre-COVID-19 pandemic). Secondary outcomes were COVID-19 and pneumonia mortality. Associations between clinical and sociodemographic risk factors and each outcome were assessed using multivariable Cox proportional hazards models. In people with type 2 diabetes, we explored modifying effects of glycated haemoglobin (HbA1c) and body mass index (BMI) by age, sex and ethnicity.

resultsIn type 2 diabetes, poor glycaemic control and severe obesity were consistently associated with increased risk of hospitalisation for COVID-19, influenza and pneumonia. The highest HbA1c and BMI-associated relative risks were observed in people aged under 70 years. Sociodemographic-associated risk differed markedly by respiratory infection, particularly for ethnicity. Compared with people of white ethnicity, black and south Asian groups had a greater risk of COVID-19 hospitalisation, but a lesser risk of pneumonia hospitalisation. Risk factor associations for type 1 diabetes and for type 2 diabetes mortality were broadly consistent with the primary analysis.

conclusionsClinical risk factors of high HbA1c and severe obesity are consistently associated with severe outcomes from COVID-19, influenza and pneumonia, especially in younger people. In contrast, associations with sociodemographic risk factors differed by type of respiratory infection. This emphasises that risk stratification should be specific to individual respiratory infections.

Indexed as

COVID-19Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Influenza, HumanObesity, MorbidPneumoniaRespiratory Tract InfectionsAgedCohort StudiesCOVID-19 VaccinesGlycated HemoglobinHumansObesityPandemicsRisk FactorsUnited KingdomCOVID-19 VaccinesGlycated HemoglobinCOVID-19diabetes & endocrinologyelectronic health recordsrisk factors

Identifiers

PMID38296292
PMCPMC10831438
OpenAlexW4391406850

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.