Evidence map›Paper›PMID 35260620›Full record

ArticleScientific reports2022

Ethnic disparities in hospitalisation and hospital-outcomes during the second wave of COVID-19 infection in east London.

Y I Wan, V J Apea, R Dhairyawan, Z A Puthucheary, R M Pearse, C M Orkin, J R Prowle

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Critical care and pandemic preparedness and response.British journal of anaesthesia · 2023
    Review
  6. Article
  7. Article
  8. Selective IgA Deficiency May Be an Underrecognized Risk Factor for Severe COVID-19.The journal of allergy and clinical immunology. In practice · 2023
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Observational
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

7 authors at 3 institutions in 1 country.

Y I WanWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK. yize.wan@qmul.ac.uk.
V J ApeaBlizard Institute, Queen Mary University of London, London, E1 2AT, UK.
R DhairyawanBlizard Institute, Queen Mary University of London, London, E1 2AT, UK.
Z A PuthuchearyWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
R M PearseWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
C M OrkinBlizard Institute, Queen Mary University of London, London, E1 2AT, UK.
J R ProwleWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Queen Mary University of London · GBWilliam Harvey Research Institute · GBBarts Health NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is unclear if changes in public behaviours, developments in COVID-19 treatments, improved patient care, and directed policy initiatives have altered outcomes for minority ethnic groups in the second pandemic wave. This was a prospective analysis of patients aged ≥ 16 years having an emergency admission with SARS-CoV-2 infection between 01/09/2020 and 17/02/2021 to acute NHS hospitals in east London. Multivariable survival analysis was used to assess associations between ethnicity and mortality accounting for predefined risk factors. Age-standardised rates of hospital admission relative to the local population were compared between ethnic groups. Of 5533 patients, the ethnic distribution was White (n = 1805, 32.6%), Asian/Asian British (n = 1983, 35.8%), Black/Black British (n = 634, 11.4%), Mixed/Other (n = 433, 7.8%), and unknown (n = 678, 12.2%). Excluding 678 patients with missing data, 4855 were included in multivariable analysis. Relative to the White population, Asian and Black populations experienced 4.1 times (3.77-4.39) and 2.1 times (1.88-2.33) higher rates of age-standardised hospital admission. After adjustment for various patient risk factors including age, sex, and socioeconomic deprivation, Asian patients were at significantly higher risk of death within 30 days (HR 1.47 [1.24-1.73]). No association with increased risk of death in hospitalised patients was observed for Black or Mixed/Other ethnicity. Asian and Black ethnic groups continue to experience poor outcomes following COVID-19. Despite higher-than-expected rates of hospital admission, Black and Asian patients also experienced similar or greater risk of death in hospital since the start of the pandemic, implying a higher overall risk of COVID-19 associated death in these communities.

Indexed as

EthnicityAdultAgedAsian PeopleBlack PeopleCOVID-19FemaleHospitalizationHospitalsHumansIntensive Care UnitsLondonMaleMiddle AgedProportional Hazards ModelsRisk Factors

Identifiers

PMID35260620
PMCPMC8904852
OpenAlexW4220842619

What OpenQuestion holds

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LicenceCC BY
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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.