Evidence map›Paper›PMID 34511066›Full record

ArticleBMC infectious diseases2021

Prevalence and risk factors for exposure to Toxoplasma gondii in slaughterhouse workers in western Kenya.

Elizabeth Anne Jessie Cook, Nduhiu Gitahi, William Anson de Glanville, Lian F Thomas, Samuel Kariuki, Erastus Kang'ethe, Eric Maurice Fèvre

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The global seroprevalence ofThe veterinary quarterly · 2024
    Pooled it
  3. Molecular Detection ofPublic health challenges · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Antimicrobial Resistance in Slaughterhouses, Kenya.Emerging infectious diseases · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Review
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

7 authors.

Elizabeth Anne Jessie Cook *International Livestock Research Institute, Old Naivasha Road, P.O. Box 30709, Nairobi, 00100, Kenya. e.cook@cgiar.org.
Nduhiu Gitahi *University of Nairobi, P.O. Box 29053, Nairobi, 00625, Kenya.
William Anson de GlanvilleInternational Livestock Research Institute, Old Naivasha Road, P.O. Box 30709, Nairobi, 00100, Kenya.
Lian F ThomasInternational Livestock Research Institute, Old Naivasha Road, P.O. Box 30709, Nairobi, 00100, Kenya.
Samuel KariukiKenya Medical Research Institute, P.O. Box 19464, Nairobi, 00200, Kenya.
Erastus Kang'etheUniversity of Nairobi, P.O. Box 29053, Nairobi, 00625, Kenya.
Eric Maurice FèvreInternational Livestock Research Institute, Old Naivasha Road, P.O. Box 30709, Nairobi, 00100, Kenya.

Funding

Biotechnology and Biological Sciences Research Council BB/L019019/1
6 · The paper itself

Abstract

backgroundToxoplasma gondii is a zoonotic protozoan parasite infecting warm-blooded animals. Infection in people can occur through ingestion of oocysts passed in the faeces of the definitive hosts; ingestion of bradyzoites in the tissue of infected intermediate hosts; or exposure to tachyzoites in raw milk and eggs. Slaughterhouse workers are considered a high-risk group for T. gondii exposure because of their contact with raw meat, although a positive relationship between handling raw meat and T. gondii seropositivity has not been demonstrated in all studies. This study aimed to determine the seroprevalence of antibodies to T. gondii in slaughterhouse workers in Kenya and identify risk factors associated with seropositivity.

methodsA survey of slaughterhouse workers was conducted in 142 slaughter facilities in the study area. Information regarding demographics, contact with livestock, meat consumption, and practices in the slaughterhouse was collected using structured questionnaires. Commercial ELISAs were used to detect IgM and IgG antibodies against T. gondii and a multi-level logistic regression model was used to identify potential risk factors for seropositivity in slaughterhouse workers.

resultsThe apparent prevalence of antibodies to T. gondii was 84.0% (95% Confidence Interval (CI) 81.2-86.5%) for IgG and 2.2% (95% CI 1.3-3.5%) for IgM antibodies. All IgM positive individuals were IgG positive. Risk factors for exposure to T. gondii were: increasing age (Odds Ratio (OR) 1.03; 95% CI 1.01-1.05); owning poultry (OR 2.00; 95% CI 1.11-3.62); and consuming animal blood (OR 1.92; 95% CI 1.21-3.03).

conclusionsThe seroprevalence of antibodies to T. gondii was very high in this population and considerably higher than published values in the general population. Risk factors included age, owning poultry and drinking animal blood which were consistent with previous reports but none were specifically associated with working in the slaughterhouse. In this instance slaughterhouse workers may represent a useful sentinel for the general population where the level of exposure is also likely to be high and may signify an unidentified public health risk to vulnerable groups such as pregnant women. A detailed understanding of the epidemiology of infection is required, which should include an assessment of incidence, mortality, and burden since T. gondii infection is likely to have life-long sequelae.

Indexed as

ToxoplasmaToxoplasmosisAbattoirsAnimalsAntibodies, ProtozoanCross-Sectional StudiesFemaleHumansKenyaPregnancyPrevalenceRisk FactorsSeroepidemiologic StudiesAntibodies, ProtozoanAbattoirKenyaOccupational healthSlaughterhouseToxoplasmaZoonoses

Identifiers

PMID34511066
PMCPMC8436527

What OpenQuestion holds

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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.