Evidence map›Paper›PMID 40595474›Full record

ArticleNature communications2025

Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022.

Marta Pineda-Moncusí, Freya Allery, Hoda Abbasizanjani, David Powell, Albert Prats-Uribe, Johan H Thygesen, Angela Wood, Christopher Tomlinson, Amitava Banerjee, Ashley Akbari and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Marta Pineda-MoncusíCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-0567-0137
Freya AlleryInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA. University College London, London, UK.ORCID http://orcid.org/0000-0002-5580-7237
Hoda AbbasizanjaniPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.ORCID http://orcid.org/0000-0002-9575-4758
David PowellPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
Albert Prats-UribeCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-1202-9153
Johan H ThygesenInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA. University College London, London, UK.ORCID http://orcid.org/0000-0002-7479-3459
Angela WoodBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, and Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7937-304X
Christopher TomlinsonInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA. University College London, London, UK.ORCID http://orcid.org/0000-0002-0903-5395
Amitava BanerjeeInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA. University College London, London, UK.ORCID http://orcid.org/0000-0001-8741-3411
Ashley AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.ORCID http://orcid.org/0000-0003-0814-0801
Antonella DelmestriCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-0388-3403
Laura C CoatesCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-4756-663X
Spiros DenaxasInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA. University College London, London, UK.
Kamlesh KhuntiDiabetes Research Centre, Leicester Diabetes Research Centre, University of Leicester, Leicester, UK.
Gary CollinsCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-2772-2316
Daniel Prieto-AlhambraCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-3950-6346
Sara KhalidCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK. sara.khalid@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0002-2845-5731
CVD-COVID-UK/COVID-IMPACT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increased risk of COVID-19 mortality risk among certain ethnic groups is well-reported, however data on ethnic disparities in COVID-19-related cardiovascular disease (CVD)  are lacking. We estimated age-standardised incidence rates and adjusted hazard ratios for 28-day mortality and 30-day CVD by sex for individual ethnicity groups from England and Wales, using linked health and administrative data. We studied 6-level census-based ethnicity group classification, 10-level classification (only for Wales), and 19-level classification as well as any ethnicity sub-groups comprising >1000 individuals each (only for England). COVID-19 28-day mortality and 30-day CVD risk was increased in most non-White ethnic groups in England, and Asian population in Wales, between 23rd January 2020 and 1st April 2022. English data show mortality decreased during the Omicron variant's dominance, whilst CVD risk [95% confidence interval] remained elevated for certain ethnic groups when compared to White populations (January-April 2022): by 120% [28-280%] in White and Asian men and 58% [32-90%] in Pakistan men, as compared to White British men; and by 75% [13-172%] in Bangladeshi women, 55% [19-102%] in Caribbean women, and 82% [31-153%] in Any Other Ethnic Group women, as compared to White British women. Ethnically diverse populations in the UK remained disproportionately affected by CVD throughout and beyond the COVID-19 pandemic.

Indexed as

Cardiovascular DiseasesCOVID-19EthnicityHealth Status DisparitiesAdultAgedEnglandFemaleHumansIncidenceMaleMiddle AgedRisk FactorsWalesWhite PeopleYoung Adult

Identifiers

PMID40595474
PMCPMC12217090

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.