Evidence map›Paper›PMID 33358220›Full record

ArticleJournal of the National Medical Association2021

Clinical and Demographic Characteristics of COVID-19 patients in Lagos, Nigeria: A Descriptive Study.

Ngozi Mirabel Otuonye, Testimony Jesupamilerin Olumade, Mercy Mayowa Ojetunde, Susan Abba Holdbrooke, Joy Boluwatife Ayoola, Itse Yusuf Nyam, Bamidele Iwalokun, Chika Onwuamah, Mabel Uwandu, Akinola Abayomi and 6 more

Abstract read
In one paragraph

Article in Journal of the National Medical Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Effect of nasal carriage ofMicrobiology spectrum · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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  15. Article
  16. Asthma in Adult Patients with COVID-19. Prevalence and Risk of Severe Disease.American journal of respiratory and critical care medicine · 2021
    Article
  17. Article
  18. Observational
  19. 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

16 authors.

Ngozi Mirabel OtuonyeCentral Research Laboratory, Nigerian Institute of Medical Research, Yaba, Lagos. Electronic address: mnotuonye@gmail.com.
Testimony Jesupamilerin OlumadeDepartment of Biological Sciences, Redeemer's University, Ede, Osun state; African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun state.
Mercy Mayowa OjetundeCentral Research Laboratory, Nigerian Institute of Medical Research, Yaba, Lagos.
Susan Abba HoldbrookeCentral Research Laboratory, Nigerian Institute of Medical Research, Yaba, Lagos.
Joy Boluwatife AyoolaCentral Research Laboratory, Nigerian Institute of Medical Research, Yaba, Lagos.
Itse Yusuf NyamCentral Research Laboratory, Nigerian Institute of Medical Research, Yaba, Lagos.
Bamidele IwalokunMolecular Biological and Biotechnology Department, Nigerian Institute of Medical Research, Yaba, Lagos.
Chika OnwuamahCentre for Human Virology and Genomics, Nigerian Institute of Medical Research, Yaba, Lagos.
Mabel UwanduCentre for Human Virology and Genomics, Nigerian Institute of Medical Research, Yaba, Lagos.
Akinola AbayomiLagos State Ministry of Health, Alausa, Ikeja, Lagos, Nigeria.
Akin OsibogunCollege of Medicine University of Lagos, Nigeria; Lagos State Primary Health Care Board, Lagos, Nigeria.
Abimbola BowaleMainland Infectious Disease Hospital, Yaba, Lagos.
Bodunrin OsikomaiyaMainland Infectious Disease Hospital, Yaba, Lagos.
Babafemi ThomasMainland Infectious Disease Hospital, Yaba, Lagos.
Bamidele MutiuMainland Infectious Disease Hospital, Yaba, Lagos.
Nkiruka Nnonyelum OdunukweClinical Sciences Department, Nigerian Institute of Medical Research, Yaba, Lagos.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 is an emerging, rapidly evolving global situation, infecting over 25 million people and causing more than 850,000 deaths. Several signs and symptoms have been described to be characteristic of the disease. However, there is a dearth of report on the description of the clinical characteristics of the disease in patients from Nigeria. This study was designed to provide a description of the clinical and demographic characteristics of COVID-19 patients in Nigeria.

methodsThis study is a case series that includes patients that are evaluated between May and August 2020, and diagnosed with COVID-19. Patient health records were reviewed and evaluated to describe the clinical characteristics on presentation.

resultsA total of 154 COVID-19 patients were included in this study, with a mean age (S.D.) of 46.16 (13.701). Most of the patients survived (mortality rate of 2.6%), and were symptomatic (89.6%). There were more males (74.7%) than females, and the most common symptoms were fever, breathing difficulty, dry cough and malaise. Co-morbidities were also present in almost half of the study participants (49.4%).

conclusionThis study presents the most extensive description, to date, on the clinical and demographic characteristics of COVID-19 patients in Nigeria. Males are more likely than females to be infected with COVID-19 and the most occurring symptoms are fever, breathing difficulty, malaise, dry cough and chest pain. Old age and the presence of co-morbidities may also be associated with developing the severe disease.

Indexed as

ComorbidityCOVID-19DemographyFemaleHumansMaleMiddle AgedNigeriaPandemicsPneumonia, ViralSARS-CoV-2Sex FactorsCOVID-19NigeriaSARS-CoV-2SignsSymptoms

Identifiers

PMID33358220
PMCPMC7759120

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.