Evidence map›Paper›PMID 37870987›Full record

ArticlePLOS global public health2023

Association between pregnancy and severe COVID-19 symptoms in Qatar: A cross-sectional study.

Alla' K Al-Qassem, Ammar B Humaidi, Amna K Al-Kuwari, Elham M Hasan, Nosaiba H Yakti, Rakan M Al-Hathal, Devendra Bansal, Elmoubashar Abu Baker Abd Farag, Hamad E Al-Romaihi, Mohammed H J Al-Thani and 3 more

Abstract read
In one paragraph

Article in PLOS global public health, 2023. 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
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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

13 authors.

Alla' K Al-QassemCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Ammar B HumaidiCollege of Medicine, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-1620-4406
Amna K Al-KuwariCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Elham M HasanCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Nosaiba H YaktiCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Rakan M Al-HathalCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Devendra BansalDepartment of Public Health, Ministry of Public Health, Doha, Qatar.
Elmoubashar Abu Baker Abd FaragDepartment of Public Health, Ministry of Public Health, Doha, Qatar.ORCID https://orcid.org/0000-0002-1281-6205
Hamad E Al-RomaihiDepartment of Public Health, Ministry of Public Health, Doha, Qatar.
Mohammed H J Al-ThaniDepartment of Public Health, Ministry of Public Health, Doha, Qatar.
Omran A H MusaDepartment of Public Health, Ministry of Public Health, Doha, Qatar.
Suhail DoiCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Tawanda ChiveseCollege of Medicine, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0001-6621-6144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is inconclusive evidence whether pregnancy exacerbates COVID-19 symptoms or not, and scarce data from the Middle East and North Africa region. The aim of this study was to investigate the association between pregnancy and COVID-19 symptoms in Qatar. This cross-sectional study was carried out using data of all women with confirmed COVID-19, comparing women of child-bearing age (18-49 years). Data of all COVID-19 cases were collected by the Ministry of Public Health (MoPH) in Qatar, between March and September 2020. Symptoms were compared by pregnancy status and classified into moderate and severe. Multivariable logistic and Poisson regression was carried out to investigate the association between pregnancy and severity of COVID-19 symptoms. During the study period, 105 744 individuals were diagnosed with COVID-19, of which 16 908 were women of childbearing age. From that sample, 799 women were pregnant (mean age 29.9 years (SD 5.2)) and 16109 women were not pregnant (mean age 33.1 years (SD 7.8)). After multivariable logistic regression, pregnancy was associated with 1.4-fold higher odds of reporting any symptoms of COVID-19 (OR 1.41, 95% CI 1.18-1.68), and 1.3-fold higher odds of reporting shortness of breath (OR 1.29, 95% CI 1.02-1.63). In a multivariable Poisson regression, pregnancy was also associated with a higher count of symptoms (IRR 1.03, 95%CI 0.98-1.08), although with weak evidence against the null hypothesis. Our findings suggest that, in this setting, pregnant women are more likely to have symptomatic COVID-19, and shortness of breath, compared to women with no pregnancy.

Identifiers

PMID37870987
PMCPMC10593215

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