Evidence map›Paper›PMID 39006174›Full record

ArticleNigerian medical journal : journal of the Nigeria Medical Association

Comparative study of the severity of Covid-19 infection between female and male patients.

Aboubekr Imzil, Ouassim Mansoury, Abdelmajid Oulahbib, Latifa Adarmouch, Hind Serhane

Abstract read
In one paragraph

Article in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Aboubekr ImzilPneumology Department, Faculty of Medicine and Pharmacy of Agadir, Souss-Massa University Hospital, Ibn Zohr University, Agadir, Morocco.
Ouassim MansouryClinical Research Department, Mohammed VI University Hospital, Marrakesh, Morocco.
Abdelmajid OulahbibPneumology Department, Faculty of Medicine and Pharmacy of Agadir, Souss-Massa University Hospital, Ibn Zohr University, Agadir, Morocco.
Latifa AdarmouchClinical Research Department, Mohammed VI University Hospital, Marrakesh, Morocco.
Hind SerhanePneumology Department, Faculty of Medicine and Pharmacy of Agadir, Souss-Massa University Hospital, Ibn Zohr University, Agadir, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Different studies have identified the prognostic factors of COVID-19 infection. These studies have revealed that COVID-19 infection is more severe in males than in females. The aim of our study was to compare the severity of COVID-19 infection between males and females in terms of clinical, biological, radiological, and evolutionary aspects. Methodology: This is a cross-sectional observational study conducted in patients hospitalized with COVID-19 infection over a 6-month period from 1 August 2021 to 1 February 2022. Results: The comparison of clinical, biological, radiological, and evolutionary severity factors of covid-19 infection between the two sexes revealed that this infection was more severe in males. Statistically significant differences were noted for the rate of high dimers (p =0.01) and for lung involvement greater than 25% on chest CT (Computed tomography) (p =0.008). Conclusion: The severity of covid-19 infection in men is due to biological differences between men and women in the renin-angiotensin system, the immune system, genetics, and sex hormones. Further research into the pathophysiological mechanisms behind this finding is needed.

Indexed as

Biological Differences.COVID-19GenderSeverity

Identifiers

PMID39006174
PMCPMC11238169

What OpenQuestion holds

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Registered trials

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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.