Evidence map›Paper›PMID 32850607›Full record

ReviewFrontiers in public health2020

Racial and Gender-Based Differences in COVID-19.

Jonathan Kopel, Abhilash Perisetti, Ali Roghani, Muhammad Aziz, Mahesh Gajendran, Hemant Goyal

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 5 pooled it
26.3field-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

146 citing papers in PubMed, 5 syntheses or guidelines pooled it, 330 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Review

86 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

6 authors at 5 institutions in 1 country.

Jonathan KopelTexas Tech University Health Sciences Center, Lubbock, TX, United States.
Abhilash PerisettiDepartment of Gastroenterology and Hepatology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Ali RoghaniTexas Tech University Health Sciences Center, Lubbock, TX, United States.
Muhammad AzizDepartment of Internal Medicine, The University of Toledo, Toledo, OH, United States.
Mahesh GajendranPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States.
Hemant GoyalThe Wright Center for Graduate Medical Education, Scranton, PA, United States.
Texas Tech University Health Sciences Center · USTexas Tech University · USThe Wright Center for Graduate Medical Education · USUniversity of Arkansas for Medical Sciences · USUniversity of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus disease (COVID-19) has become a global health crisis since its first appearance in Wuhan, China. Current epidemiological studies suggest that COVID-19 affects older patients with multiple comorbidities, such as hypertension, obesity, and chronic lung diseases. The differences in the incidence and severity of COVID-19 are likely to be multifaceted, depending on various biological, social, and economical factors. Specifically, the socioeconomic differences and psychological impact of COVID-19 affecting males and females are essential in pandemic mitigation and preparedness. Previous clinical studies have shown that females are less susceptible to acquire viral infections and reduced cytokine production. Female patients have a higher macrophage and neutrophil activity as well as antibody production and response. Furthermore,

Indexed as

Racial GroupsSex FactorsAngiotensin-Converting Enzyme 2ChinaComorbidityCOVID-19EthnicityFemaleHumansMaleSocial ClassACE2 protein, humanAngiotensin-Converting Enzyme 2coronavirusCOVID-19genderpandemicraceSARS-CoV-2sex

Identifiers

PMID32850607
PMCPMC7399042
OpenAlexW3045768066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.