Evidence map›Paper›PMID 33334842›Full record

ArticleBMJ open2020

Patient characteristics associated with COVID-19 positivity and fatality in Nigeria: retrospective cohort study.

Kelly Osezele Elimian, Chinwe Lucia Ochu, Blessing Ebhodaghe, Puja Myles, Emily E Crawford, Ehimario Igumbor, Winifred Ukponu, Adobola Olayinka, Olusola Aruna, Chioma Dan-Nwafor and 19 more

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 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

38 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Prognosis of patients with coronavirus disease with or without anosmia: A systematic review.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2025
    Review
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  12. Effect of nasal carriage ofMicrobiology spectrum · 2024
    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

29 authors.

Kelly Osezele ElimianPrevention, Programme and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria kellyelimian@gmail.com.ORCID http://orcid.org/0000-0003-2729-1613
Chinwe Lucia OchuPrevention, Programme and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.ORCID http://orcid.org/0000-0002-0630-7332
Blessing EbhodaghePrevention, Programme and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
Puja MylesEpidemiology and Public Health, University of Nottingham, Nottingham, UK.
Emily E CrawfordPrevention, Programme and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
Ehimario IgumborPrevention, Programme and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
Winifred UkponuCenter for Global Health Practice and Impact, Georgetown University, Abuja, Nigeria.
Adobola OlayinkaWHO, Abuja, Nigeria.
Olusola ArunaIHR Strengthening Project, Global Public Health, Public Health England, London, UK.
Chioma Dan-NwaforSurveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, FCT, Nigeria.
Olatayo Ayodeji OlawepoCenter for Global Health Practice and Impact, Georgetown University, Abuja, Nigeria.
Oladipo OgunbodePrevention, Programme and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
Rhoda AttehSurveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, FCT, Nigeria.
William NwachukwuSurveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, FCT, Nigeria.
Sudhir VenkatesanEMEA Data Science Hub, IQVIA, London, UK.
Chijioke ObaghaMinistry of Health, Anambra State, Awka, Anambra, Nigeria.
Samuel NgisheMinistry of Health, Benue State, Benue, Nigeria.
Kabir SuleimanMinistry of Health, Katsina State, Katsina, Nigeria.
Muhammad UsmanMinistry of Health, Nassarawa State, Nassarawa, Nigeria.
Hakeem Abiola YusuffMinistry of Health, Ogun State, Ogun, Nigeria.
Ifeoma NwadiutoRivers State Ministry of Health, Port Harcourt, Nigeria.
Abbas Aliyu MohammedMinistry of Health, Sokoto State, Sokoto, Nigeria.
Rabi UsmanMinistry of Health, Zamfara State, Zamfara, Nigeria.
Nwando MbaPublic Health Laboratory Services, Nigeria Centre for Disease Control, Abuja, Nigeria.
Olaolu AderinolaHealth Emergency Preparedness and Response, Nigeria Centre for Disease Control, Abuja, Nigeria.
Elsie IloriSurveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, FCT, Nigeria.
John OladejoHealth Emergency Preparedness and Response, Nigeria Centre for Disease Control, Abuja, Nigeria.
Ibrahim AbubakarInstitute for Global Health, UCL, London, UK.ORCID http://orcid.org/0000-0002-0370-1430
Chikwe IhekweazuOffice of the Director General, Nigeria Centre for Disease Control, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite the increasing disease burden, there is a dearth of context-specific evidence on the risk factors for COVID-19 positivity and subsequent death in Nigeria. Thus, the study objective was to identify context-specific factors associated with testing positive for COVID-19 and fatality in Nigeria.

designRetrospective cohort study.

settingCOVID-19 surveillance and laboratory centres in 36 states and the Federal Capital Territory reporting data to the Nigeria Centre for Disease Control.

participantsIndividuals who were investigated for SARS-CoV-2 using real-time PCR testing during the study period 27 February-8 June 2020.

methodsCOVID-19 positivity and subsequent mortality. Multivariable logistic regression analyses were performed to identify factors independently associated with both outcome variables, and findings are presented as adjusted ORs (aORs) and 95% CIs.

resultsA total of 36 496 patients were tested for COVID-19, with 10 517 confirmed cases. Of 3215 confirmed cases with available clinical outcomes, 295 died. Factors independently associated with COVID-19 positivity were older age (p value for trend<0.0001), male sex (aOR 1.11, 95% CI 1.04 to 1.18) and the following presenting symptoms: cough (aOR 1.23, 95% CI 1.13 to 1.32), fever (aOR 1.45, 95% CI 1.45 to 1.71), loss of smell (aOR 7.78, 95% CI 5.19 to 11.66) and loss of taste (aOR 2.50, 95% CI 1.60 to 3.90). An increased risk of mortality following COVID-19 was observed in those aged ≥51 years, patients in farming occupation (aOR 7.56, 95% CI 1.70 to 33.53) and those presenting with cough (aOR 2.06, 95% CI 1.41 to 3.01), breathing difficulties (aOR 5.68, 95% CI 3.77 to 8.58) and vomiting (aOR 2.54, 95% CI 1.33 to 4.84).

conclusionThe significant risk factors associated with COVID-19 positivity and subsequent mortality in the Nigerian population are similar to those reported in studies from other countries and should guide clinical decisions for COVID-19 testing and specialist care referrals.

Indexed as

COVID-19SARS-CoV-2Symptom AssessmentAge FactorsCOVID-19 TestingFemaleHospitalizationHumansMaleMiddle AgedMortalityNigeriaPublic HealthRisk AssessmentRisk FactorsSex Factorsepidemiologypublic healthrespiratory infections

Identifiers

PMID33334842
PMCPMC7747485

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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.