Evidence map›Paper›PMID 32853545›Full record

ReviewImmunity2020

Implications of Sex Differences in Immunity for SARS-CoV-2 Pathogenesis and Design of Therapeutic Interventions.

Madeleine J Bunders, Marcus Altfeld

Abstract readReview
In one paragraph

Review in Immunity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 3 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

105 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Innate immunity to SARS-CoV-2 infection: a review.Epidemiology and infection · 2022
    Pooled it
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  4. Trial
  5. Article
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  10. Review
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  12. Influence of Sex and 1,25α Dihydroxyvitamin DPathogens (Basel, Switzerland) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Estrogen and viral infection.Frontiers in immunology · 2025
    Review
  20. Article

45 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

2 authors.

Madeleine J BundersHeinrich Pette Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany. Electronic address: madeleine.bunders@leibniz-hpi.de.
Marcus AltfeldHeinrich Pette Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany; Institute for Immunology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany. Electronic address: m.altfeld@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Men present more frequently with severe manifestations of coronavirus disease 2019 (COVID-19) and are at higher risk for death. The underlying mechanisms for these differences between female and male individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are insufficiently understood. However, studies from other viral infections have shown that females can mount stronger immune responses against viruses than males. Emerging knowledge on the basic biological pathways that underlie differences in immune responses between women and men needs to be incorporated into research efforts on SARS-CoV-2 pathogenesis and pathology to identify targets for therapeutic interventions aimed at enhancing antiviral immune function and lung airway resilience while reducing pathogenic inflammation in COVID-19.

Indexed as

Sex CharacteristicsBetacoronavirusCoronavirus InfectionsCOVID-19FemaleHumansImmunity, InnateMalePandemicsPneumonia, ViralSARS-CoV-2COVID-19immune responsesSARS-CoV-2sex differencestissue regeneration

Identifiers

PMID32853545
PMCPMC7430299

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.