Evidence map›Paper›PMID 33200120›Full record

ArticleEClinicalMedicine2020

Ethnicity and clinical outcomes in COVID-19: A systematic review and meta-analysis.

Shirley Sze, Daniel Pan, Clareece R Nevill, Laura J Gray, Christopher A Martin, Joshua Nazareth, Jatinder S Minhas, Pip Divall, Kamlesh Khunti, Keith R Abrams and 2 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 377 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
377citing papers in PubMed, 10 pooled it
54.0field-weighted citation impact, top 1% 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

377 citing papers in PubMed, 10 syntheses or guidelines pooled it, 638 citations in OpenAlex.

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  9. Fatigue Symptoms Associated With COVID-19 in Convalescent or Recovered COVID-19 Patients; a Systematic Review and Meta-Analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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317 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Shirley SzeDepartment of Cardiovascular Sciences, University of Leicester, United Kingdom.
Daniel PanDepartment of Respiratory Sciences, University of Leicester, United Kingdom.
Clareece R NevillDepartment of Health Sciences, University of Leicester, United Kingdom.
Laura J GrayDepartment of Health Sciences, University of Leicester, United Kingdom.
Christopher A MartinDepartment of Respiratory Sciences, University of Leicester, United Kingdom.
Joshua NazarethDepartment of Respiratory Sciences, University of Leicester, United Kingdom.
Jatinder S MinhasDepartment of Cardiovascular Sciences, University of Leicester, United Kingdom.
Pip DivallUniversity Hospitals of Leicester, Education Centre Library, Glenfield Hospital and Leicester Royal Infirmary, United Kingdom.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, United Kingdom.
Keith R AbramsDepartment of Health Sciences, University of Leicester, United Kingdom.
Laura B NellumsDivision of Epidemiology and Public Health, School of Medicine, University of Nottingham, United Kingdom.
Manish PareekDepartment of Respiratory Sciences, University of Leicester, United Kingdom.
University of Leicester · GBUniversity Hospitals of Leicester NHS Trust · GBGlenfield Hospital · GBUniversity of Nottingham · GB

Funding

Department of Health PDF-2015-08-102Medical Research Council MR/V027549/1
6 · The paper itself

Abstract

backgroundPatients from ethnic minority groups are disproportionately affected by Coronavirus disease (COVID-19). We performed a systematic review and meta-analysis to explore the relationship between ethnicity and clinical outcomes in COVID-19.

methodsDatabases (MEDLINE, EMBASE, PROSPERO, Cochrane library and

findings18,728,893 patients from 50 studies were included; 26 were peer-reviewed; 42 were from the United States of America and 8 from the United Kingdom. Individuals from Black and Asian ethnicities had a higher risk of COVID-19 infection compared to White individuals. This was consistent in both the main analysis (pooled adjusted RR for Black: 2.02, 95% CI 1.67-2.44; pooled adjusted RR for Asian: 1.50, 95% CI 1.24-1.83) and sensitivity analyses examining peer-reviewed studies only (pooled adjusted RR for Black: 1.85, 95%CI: 1.46-2.35; pooled adjusted RR for Asian: 1.51, 95% CI 1.22-1.88). Individuals of Asian ethnicity may also be at higher risk of ITU admission (pooled adjusted RR 1.97 95% CI 1.34-2.89) (but no studies had yet been peer-reviewed) and death (pooled adjusted RR/HR 1.22 [0.99-1.50]).

interpretationIndividuals of Black and Asian ethnicity are at increased risk of COVID-19 infection compared to White individuals; Asians may be at higher risk of ITU admission and death. These findings are of critical public health importance in informing interventions to reduce morbidity and mortality amongst ethnic minority groups.

Indexed as

AsianCOVID-19 BlackdeathdisporportionateethnicethnicityHispanicinfectionITU admissionoutcomeraceSARS-CoV-2transmission

Identifiers

PMID33200120
PMCPMC7658622
OpenAlexW3105546145

What OpenQuestion holds

Textmetadata
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.