Evidence map›Paper›PMID 35865853›Full record

ArticleThe Pan African medical journal2022

Risk factors for COVID-19 infection and disease severity in Nigeria: a case-control study.

Rowland Utulu, Ikeoluwapo Oyeneye Ajayi, Segun Bello, Muhammad Shakir Balogun, Ugochukwu Chinyem Madubueze, Idayat Temitope Adeyemi, Olajumoke Temitope Omoju, Azuka Stephen Adeke, Adetunji Olusesan Adenekan, Osarhiemen Iyare

Abstract read
In one paragraph

Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Rowland UtuluNigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.
Ikeoluwapo Oyeneye AjayiDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Segun BelloDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Muhammad Shakir BalogunNigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.
Ugochukwu Chinyem MadubuezeDepartment of Community Medicine, Alex Ekwueme Federal University Teaching Hospital Abakaliki, Ebonyi State, Nigeria.
Idayat Temitope AdeyemiNigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.
Olajumoke Temitope OmojuNigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.
Azuka Stephen AdekeNigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.
Adetunji Olusesan AdenekanDepartment of Ophthalmology, College of Medicine, University of Lagos, Lagos, Nigeria.
Osarhiemen IyareNigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: identifying risk factors for SARS-CoV-2 infection and disease severity is critical to developing measures to protect vulnerable groups. We aimed to identify risk factors for SARS-CoV-2 infection and severe disease. Methods: this was an unmatched case-control study that recruited participants in the country from April to July 2020. Cases tested positive on Reverse-Transcription Polymerase Chain Reaction (RT-PCR), while controls tested negative on RT-PCR. Data were collected by trained research assistants using an interviewer-administered questionnaire. Cases were categorized into severe and non-severe to identify risk factors for severe disease. Results: there were 497 cases and 997 controls recruited. Contact with a symptomatic confirmed case adjusted odds ratio (aOR) 1.91 (95% CI: 1.30-2.80) and attendance of mass gatherings aOR 1.74 (95% CI: 1.10-2.74) were associated with SARS-CoV-2 infection, while the use of private transportation aOR 0.56 (95% CI: 0.37-0.85) and use of a face mask aOR 0.43 (95% CI: 0.19-0.95) were associated with lower odds of infection. We identified 38 (7.7%) severe cases and 459 (92.3%) non-severe cases. Multivariate analysis identified age ≥ 50 years aOR 4.54 (95% CI: 1.86-11.08), male sex aOR 2.95 (95% CI: 1.07-8.11), hypertension aOR 3.52 (95% CI: 1.46-8.50), and diabetes aOR 5.76 (95% CI: 2.01-16.50) as risk factors for severe disease, while Hausa ethnicity aOR 0.15 (95% CI: 0.04-0.62) lowered the odds of severe disease. Conclusion: our findings highlight the importance of exposure history, mass gatherings, private transportation, and the use of face masks. Being over 50 years, male and having comorbidities indicate a worse prognosis.

Indexed as

COVID-19Case-Control StudiesHumansMaleMiddle AgedNigeriaRisk FactorsSARS-CoV-2Severity of Illness Indexcase-control studiesCOVID-19NigeriaRisk factorsSARS-CoV-2

Identifiers

PMID35865853
PMCPMC9269027

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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.