Evidence map›Paper›PMID 32774628›Full record

ArticleThe Pan African medical journal2020

Seroprevalence of brucellosis and associated factors among livestock slaughtered in Oko-Oba abattoir, Lagos State, southwestern Nigeria.

Kenneth Onyebuchi Ukwueze, Olayinka Olabisi Ishola, Magbagbeola David Dairo, Emmanuel Jolaoluwa Awosanya, Simeon Idowu Cadmus

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  7. Prevalence ofVeterinary sciences · 2021
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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

5 authors at 1 institution in 1 country.

Kenneth Onyebuchi UkwuezeNigeria Field Epidemiology and Laboratory Training Programme, Abudja, Nigeria.
Olayinka Olabisi IsholaDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
Magbagbeola David DairoDepartment of Medical Statistics and Epidemiology, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Emmanuel Jolaoluwa AwosanyaDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
Simeon Idowu CadmusDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
University of Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction

methodsA cross-sectional study was conducted from January to May 2018. A total of 473 serum samples were collected from livestock at the abattoir and tested for antibodies to

resultsOverall seroprevalence values were 15.3% (RBPT) and 16.3% (iELISA) among the livestock slaughtered at the Oko-Oba abattoir. Seroprevalence of 17.2% (RBPT) and 15.8% (iELISA) in cattle; 15.1% (RBPT) and 14.5% (iELISA) in goat; and 8.3% (RBPT) and 23.3% (iELISA) in sheep were obtained. Higher seroprevalence were recorded among females in cattle (18.8% iELISA) and sheep (23.1% iELISA) while male goats had average value higher (14.7% iELISA) than the female (p > 0.05).

conclusionPresence of

Indexed as

AbattoirsAnimalsBrucellaBrucellosisBrucellosis, BovineCattleCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleGoat DiseasesGoatsMaleNigeriaPrevalenceSeroepidemiologic StudiesSheepabattoirBrucella infectionLagos StatelivestockSeroprevalence

Identifiers

PMID32774628
PMCPMC7392031
OpenAlexW3033375398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.