Evidence map›Paper›PMID 33828641›Full record

ArticleAsian Pacific journal of tropical medicine2021

Gender disparity in COVID-19: Role of sex steroid hormones.

Anuja Lipsa, Jyothi S Prabhu

Open access · diamondAbstract read
In one paragraph

Article in Asian Pacific journal of tropical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Premenopausal and postmenopausal women during the COVID-19 pandemic.Przeglad menopauzalny = Menopause review · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

2 authors at 1 institution in 1 country.

Anuja LipsaSt Johns Research Institute and St Johns Medical College, St Johns National Academy of Health Sciences, Bangalore-560034. Karnataka, India.
Jyothi S PrabhuSt Johns Research Institute and St Johns Medical College, St Johns National Academy of Health Sciences, Bangalore-560034. Karnataka, India.
St. John's National Academy of Health Sciences · IN

Funding

DBT-Wellcome Trust India Alliance IA/CPHI/18/1/503938Wellcome Trust
6 · The paper itself

Abstract

The emerging pandemic of COVID-19 caused by the novel pathogenic human coronavirus SARS-CoV-2 has caused significant morbidity and mortality across the globe, prompting the scientific world to search for preventive measures to interrupt the disease process. Demographic data indicates gender-based differences in COVID-19 morbidity with better outcome amongst females. Disparity in sex-dependent morbidity and mortality in COVID-19 patients may be attributed to difference in levels of sex steroid hormones -androgens and estrogens. Evidence suggests that apart from the regulation of viral host factors, immunomodulatory and cardioprotective roles exerted by estrogen and progesterone may provide protection to females against COVID-19. Exploring the underlying mechanisms and beneficial effects of these hormones as an adjuvant to existing therapy may be a step towards improving the outcomes. This article aims to review studies demonstrating the role of sex steroidal hormones in modulating SARS-CoV-2 host factors and summarize plausible biological reasons for sex-based differences seen in COVID-19 mortality.

Indexed as

AndrogensCOVID-19EstrogensGender differencesSARS-CoV-2Steroid hormones

Identifiers

PMID33828641
PMCPMC7610540
OpenAlexW3119212629

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.