Evidence map›Paper›PMID 32448759›Full record

ReviewCurrent problems in cardiology2020

COVID-19: Unique public health issues facing Black, Asian and minority ethnic communities.

Eyad Abuelgasim, Li Jing Saw, Manasi Shirke, Mohamed Zeinah, Amer Harky

Abstract readReview
In one paragraph

Review in Current problems in cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 6 pooled it
–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

77 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  6. COVID-19 (SARS-CoV-2) Infection in Pregnancy: A Systematic Review.Gynecologic and obstetric investigation · 2020
    Pooled it
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  14. Socioeconomic and Demographic Risk Factors for SARS-CoV-2 Seropositivity Among Healthcare Workers in a UK Hospital: A Prospective Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Observational
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17 more citing papers are in PubMed but not listed here.

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

5 authors.

Eyad AbuelgasimFaculty of Medicine, Imperial College London, London, United Kingdom.
Li Jing SawUniversity of Liverpool School of Medicine, Liverpool, United Kingdom.
Manasi ShirkeQueen's University Belfast School of Medicine, Belfast, United Kingdom.
Mohamed ZeinahDepartment of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom.
Amer HarkyUniversity of Liverpool School of Medicine, Liverpool, United Kingdom; Department of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom. Electronic address: aaharky@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2019 coronavirus disease is a serious public health emergency, with serious adverse implications for populations, healthcare systems, and economies globally. Recently, concerns have been raised about possible association between ethnicity, incidence and outcomes of COVID-19 arisen from early government data. In this review, we will explore the possible association using both recent COVID-19 studies and studies of previous pandemics. We call for data on ethnicity to be routinely collected by governments, as part of an international collaboration, alongside other patient demographics and further research to robustly determine the magnitude of association. Moreover, governments must learn from previous pandemics and recommended strategies to mitigate risks on minority ethnicities due to socioeconomic disadvantages.

Indexed as

Coronavirus InfectionsInternational CooperationMinority HealthPandemicsPneumonia, ViralAsian PeopleBetacoronavirusBlack PeopleCOVID-19EthnicityHealthcare DisparitiesHumansIncidenceRisk AssessmentSARS-CoV-2Socioeconomic Factors

Identifiers

PMID32448759
PMCPMC7207142

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.