Evidence map›Paper›PMID 38903683›Full record

ArticleFrontiers in veterinary science2024

Assessment of health problems of sheep and goats based on ante-mortem and post-mortem inspection at Addis Ababa Abattoir, Ethiopia.

Tizeta Bekele Atoma, Barbara Szonyi, Aklilu Feleke Haile, Reinhard Fries, Maximillian P O Baumann, Delia Grace Randolph

Abstract read
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Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Epidemiology and Molecular Identification ofVeterinary medicine international · 2024
    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

6 authors.

Tizeta Bekele AtomaInternational Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.
Barbara SzonyiAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Aklilu Feleke HaileInstitute of Meat Hygiene and Technology, FAO Reference Centre for Veterinary Public Health (VPH), Freie Universität Berlin, Berlin, Germany.
Reinhard FriesInstitute of Meat Hygiene and Technology, FAO Reference Centre for Veterinary Public Health (VPH), Freie Universität Berlin, Berlin, Germany.
Maximillian P O BaumannInstitute of Meat Hygiene and Technology, FAO Reference Centre for Veterinary Public Health (VPH), Freie Universität Berlin, Berlin, Germany.
Delia Grace RandolphInternational Livestock Research Institute (ILRI), Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ethiopia has a rapidly growing small ruminant sector, which faces low productivity due to husbandry practices and poor health condition of the animals. A study was conducted in Ethiopia's largest municipal abattoir with the objective to assess the health problems of sheep and goats presented for slaughter using standard ante-mortem and post-mortem methodology. Methods: A cross-sectional study using systematic random sampling was conducted on 384 sheep and 384 goats from January to July 2014. Results: Soiled skin (69.1%), poor body condition (24.3%), and nostril discharge (19.5%) were common among both species at ante-mortem examination. Gross lesions were frequent in livers (39.7%) and lungs (37.2%), while pneumonia (18.1%) and adhesions (13.8%) were frequent in the lungs of sheep and goats, indicating stress-related illness. Parasitic lesions, especially fasciolosis (19.3%) and hydatid cysts (8.1%) were significantly more common in sheep livers ( Discussion: The findings indicate that reducing parasite burden and preventing carcass bruising through improved handling could significantly increase the profitability of the small ruminant meat sector in Ethiopia.

Indexed as

Ethiopiagoatslesionmeat inspectionparasitessheepsmall ruminants

Identifiers

PMID38903683
PMCPMC11188759

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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.