Evidence map›Paper›PMID 41767178›Full record

ArticleVeterinary and animal science2026

Introduction of a standardized semi-quantitative body condition scoring system for cattle and pigs in the Democratic Republic of the Congo.

Paige Rudin Kinzie, Sydney Merritt, Boniface Lombe, Megan Halbrook, Danae Witte, Emmanuel Hasivirwe Vakaniaki, Saraina Adam, Alex Madidi L'k'ye, Patrick K Mukadi, Milette Mfwankang and 9 more

Abstract read
In one paragraph

Article in Veterinary and animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Paige Rudin KinziePurdue University, College of Veterinary Medicine, West Lafayette, Indiana, USA.
Sydney MerrittDepartment of Epidemiology, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, California, USA.
Boniface LombeLaboratoire Vétérinaire Central de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Megan HalbrookDepartment of Epidemiology, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, California, USA.
Danae WitteCollege of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Emmanuel Hasivirwe VakaniakiInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Saraina AdamZoonotic and Emerging Disease Research Unit, National Bio and Agro-Defense Facility, USDA Agricultural Research Service (ARS), Manhattan, Kansas, USA.
Alex Madidi L'k'yeLaboratoire Vétérinaire Central de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Patrick K MukadiInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Milette MfwankangInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Jean MonaLaboratoire Vétérinaire Central de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Daddy KanongeLaboratoire Vétérinaire Central de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Carleigh MelofchikZoonotic and Emerging Disease Research Unit, National Bio and Agro-Defense Facility, USDA Agricultural Research Service (ARS), Manhattan, Kansas, USA.
Jean-Jacques Muyembe-TamfumCollege of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Nicole A HoffDepartment of Epidemiology, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, California, USA.
Lisa E HensleyZoonotic and Emerging Disease Research Unit, National Bio and Agro-Defense Facility, USDA Agricultural Research Service (ARS), Manhattan, Kansas, USA.
Placide Mbala-KingebeniInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Augustin TwabelaLaboratoire Vétérinaire Central de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Anne W RimoinDepartment of Epidemiology, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve the standardization of veterinary assessments of livestock health and welfare across the Democratic Republic of the Congo (DRC), we piloted and validated the implementation of a multispecies semiquantitative six-point body condition scoring (BCS) system for use in farms, abattoirs, and free-range village herds. BCS systems indicating animal energy balance and overall systemic health are critical to rapid and accurate veterinary surveillance to prevent the spread of zoonotic disease and ensure a safe food supply, among other One Health implications. Livestock species may be intermingled in Congolese agricultural settings, requiring a standard BCS scale; we harmonized existing species-specific scales to improve traditional approaches limited to qualitative assessment only. With a team of Congolese veterinarians and technicians, we completed 124 site visits across nine provinces between June 2023 and July 2024, comparing BCS ratings with various animal health indicators to identify patterns and relationships across 1038 swine and 1157 bovine subjects. Results indicate BCS ratings varied significantly by site type (p < 0.001) and age (p < 0.001), as well as between animals with reported histories of illness (p < 0.001) and lesions at the time of sampling (p = 0.089). At selected sites, the investigation team achieved an agreement with a maximum difference of 1 score unit between raters in an assessment of inter-rater reliability (n = 36, κ = 0.47, 95 % CI: 0.22-0.73) and qualitatively reported improved assessment precision with the six-point system compared to previous unstandardized processes.

Indexed as

Emerging zoonosesLivestock HealthOne HealthPublic HealthSurveillance

Identifiers

PMID41767178
PMCPMC12936755

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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.