Evidence map›Paper›PMID 34408047›Full record

ArticleBMJ open2021

Ethnic variation in outcome of people hospitalised during the first COVID-19 epidemic wave in Wales (UK): an analysis of national surveillance data using Onomap, a name-based ethnicity classification tool.

Daniel Rh Thomas, Oghogho Orife, Amy Plimmer, Christopher Williams, George Karani, Meirion R Evans, Paul Longley, Janusz Janiec, Roiyah Saltus, Ananda Giri Shankar

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 16 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

10 authors at 5 institutions in 2 countries.

Daniel Rh ThomasPublic Health Wales, Communicable Disease Surveillance Centre, Cardiff, UK Daniel.Thomas@wales.nhs.uk.ORCID 0000-0002-2426-5893
Oghogho OrifePublic Health Wales, Communicable Disease Surveillance Centre, Cardiff, UK.ORCID 0000-0002-3823-4852
Amy PlimmerPublic Health Wales, Communicable Disease Surveillance Centre, Cardiff, UK.
Christopher WilliamsPublic Health Wales, Communicable Disease Surveillance Centre, Cardiff, UK.
George KaraniCardiff Metropolitan University School of Health Sciences, Cardiff, UK.
Meirion R EvansPublic Health Wales, Communicable Disease Surveillance Centre, Cardiff, UK.
Paul LongleyUniversity College London, London, UK.
Janusz JaniecNarodowy Instytut Zdrowia Publicznego, Warszawa, Poland.
Roiyah SaltusUniversity of South Wales, Pontypridd, UK.
Ananda Giri ShankarPublic Health Wales, Health Protection Division, Cardiff, UK.
Public Health Wales · GBCardiff Metropolitan University · GBNarodowy Instytut Zdrowia Publicznego PZH – Państwowy Instytut Badawczy · PLUniversity College London · GBUniversity of South Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify ethnic differences in proportion positive for SARS-CoV-2, and proportion hospitalised, proportion admitted to intensive care and proportion died in hospital with COVID-19 during the first epidemic wave in Wales.

designDescriptive analysis of 76 503 SARS-CoV-2 tests carried out in Wales to 31 May 2020. Cohort study of 4046 individuals hospitalised with confirmed COVID-19 between 1 March and 31 May. In both analyses, ethnicity was assigned using a name-based classifier.

settingWales (UK). PRIMARY AND SECONDARY OUTCOMES: Admission to an intensive care unit following hospitalisation with a positive SARS-CoV-2 PCR test. Death within 28 days of a positive SARS-CoV-2 PCR test.

resultsUsing a name-based ethnicity classifier, we found a higher proportion of black, Asian and ethnic minority people tested for SARS-CoV-2 by PCR tested positive, compared with those classified as white. Hospitalised black, Asian and minority ethnic cases were younger (median age 53 compared with 76 years; p<0.01) and more likely to be admitted to intensive care. Bangladeshi (adjusted OR (aOR): 9.80, 95% CI 1.21 to 79.40) and 'white - other than British or Irish' (aOR: 1.99, 95% CI 1.15 to 3.44) ethnic groups were most likely to be admitted to intensive care unit. In Wales, older age (aOR for over 70 years: 10.29, 95% CI 6.78 to 15.64) and male gender (aOR: 1.38, 95% CI 1.19 to 1.59), but not ethnicity, were associated with death in hospitalised patients.

conclusionsThis study adds to the growing evidence that ethnic minorities are disproportionately affected by COVID-19. During the first COVID-19 epidemic wave in Wales, although ethnic minority populations were less likely to be tested and less likely to be hospitalised, those that did attend hospital were younger and more likely to be admitted to intensive care. Primary, secondary and tertiary COVID-19 prevention should target ethnic minority communities in Wales.

Indexed as

COVID-19EpidemicsAgedCohort StudiesEthnicityHospitalizationHumansMaleMiddle AgedMinority GroupsSARS-CoV-2United KingdomWalesCOVID-19epidemiologypublic health

Identifiers

PMID34408047
PMCPMC8375451
OpenAlexW3194952560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.