Evidence map›Paper›PMID 32511503›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Ethnic Disparities in Hospitalization for COVID-19: a Community-Based Cohort Study in the UK.

Camille Lassale, Bamba Gaye, Mark Hamer, Catharine R Gale, G David Batty

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. 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, 16 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 3 countries.

Camille LassaleHospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Bamba GayeIntegrative Epidemiology of Cardiovascular Diseases, Paris Cardiovascular Research Center-INSERM U970 (PARCC).
Mark HamerDivision of Surgery and Interventional Sciences, Faculty Medical Sciences, University College London, London, UK.
Catharine R GaleMRC Lifecourse Epidemiology Unit, University of Southampton, UK.
G David BattyDepartment of Epidemiology and Public Health, University College London, UK.
Faculty (United Kingdom) · GBInserm · FRInstituto de Salud Carlos III · ESNHS Lothian · GBUniversity College London · GB

Funding

Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R01AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2017 to 2021
$1.9M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R56AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2016 to 2016
$500k
Medical Research Council MR/P023444/1NIA NIH HHS R01 AG052519NIA NIH HHS R56 AG052519
6 · The paper itself

Abstract

importanceDifferentials in COVID-19 incidence, hospitalization and mortality according to ethnicity are being reported but their origin is uncertain.

objectiveWe aimed to explain any ethnic differentials in COVID-19 hospitalization based on socioeconomic, lifestyle, mental and physical health factors.

designProspective cohort study with national registry linkage to hospitalisation for COVID-19.

settingCommunity-dwelling.

participants340,966 men and women (mean age 56.2 (SD=8.1) years; 54.3% women) residing in England from the UK Biobank study. Exposures: Ethnicity classified as White, Black, Asian, and Others. Main Outcome(s) and Measure(s): Cases of COVID-19 serious enough to warrant a hospital admission in England from 16-March-2020 to 26-April-2020.

resultsThere were 640 COVID-19 cases (571/324,306 White, 31/4,485 Black, 21/5,732 Asian, 17/5,803 Other). Compared to the White study members and after adjusting for age and sex, Black individuals had over a 4-fold increased risk of being hospitalised (odds ratio; 95% confidence interval: =4.32; 3.00-6.23), and there was a doubling of risk in the Asian group (2.12; 1.37, 3.28) and the Other non-white group (1.84; 1.13, 2.99). After controlling for 15 confounding factors which included neighbourhood deprivation, education, number in household, smoking, markers of body size, inflammation, and glycated haemoglobin, these effect estimates were attenuated by 33% for Blacks, 52% for Asians and 43% for Other, but remained raised for Blacks (2.66; 1.82, 3.91), Asian (1.43; 0.91, 2.26) and other non-white groups (1.41; 0.87, 2.31). CONCLUSIONS AND RELEVANCE: Our findings show clear ethnic differences in risk of hospitalization for COVID-19 which do not appear to be fully explained by known explanatory factors. If replicated, our results have implications for health policy, including the targeting of prevention advice and vaccination coverage.

Identifiers

PMID32511503
PMCPMC7273271
OpenAlexW3028591669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.