Evidence map›Paper›PMID 34279830›Full record

ArticleAdvances in experimental medicine and biology2021

Sex Differences and COVID-19.

Natalie Thomas, Caroline Gurvich, Jayashri Kulkarni

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
17.1field-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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Pathogenic mechanisms of cardiovascular damage in COVID-19.Molecular medicine (Cambridge, Mass.) · 2024
    Review
  4. Article
  5. Article
  6. Observational
  7. Article
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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

3 authors at 2 institutions in 1 country.

Natalie ThomasDepartment of Biochemistry and Pharmacology, University of Melbourne, Parkville, Australia. natalie.thomas@unimelb.edu.au.
Caroline GurvichCentral Clinical School, Monash University, Clayton, VIC, Australia.
Jayashri KulkarniCentral Clinical School, Monash University, Clayton, VIC, Australia.
Monash University · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological sex and psychosocial gender both play a role in many disease outcomes, and the novel coronavirus disease (COVID-19) is no different. Clinical observations in COVID-19 patient data delineate clear disparities between males and females, indicating males are at a higher risk for poorer disease outcomes. Although we are yet to understand the sex and gender-based disparities specific to COVID-19, there is evidence for sex-based differences in the endocrine, immune and renin-angiotensin system, all systems implicated in COVID-19 outcomes. Such disparities are largely thought to be driven by sex chromosomes and modulating sex hormones, which are known to vary between sex, and across the reproductive lifespan. Understanding and exploiting these driving factors are critical to understanding the pathobiology of SARS-CoV-2 virus and may lead to the development of novel therapies and increase the efficacy of preventative vaccine strategies currently under development. This chapter focuses on the endocrine, immune and renin-angiotensin system and genetic sex-based differences that could account for the meaningful differences observed in the outcomes of the SARS-CoV-2 infection.

Indexed as

COVID-19Sex CharacteristicsFemaleGonadal Steroid HormonesHumansMalePeptidyl-Dipeptidase ARenin-Angiotensin SystemSARS-CoV-2Gonadal Steroid HormonesPeptidyl-Dipeptidase AACE inhibitorsCOVID-19Immune systemPregnancyRenin–angiotensin systemSex differencesSex hormones

Identifiers

PMID34279830
OpenAlexW3186512804

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.