Evidence map›Paper›PMID 39779164›Full record

ArticleFood research international (Ottawa, Ont.)2025

Campylobacter spp. in chicken meat from traditional markets in Peru and its impact measured through a quantitative microbiological risk assessment.

Brenda L Gonzales, Ana C Ho-Palma, Daniel A Andrade, Cristina Antay, Cesar A Valdivia-Carrera, Matteo Crotta, Georgina Limon, Armando Gonzalez, Javier Guitian, Eloy Gonzales-Gustavson

Abstract read
In one paragraph

Article in Food research international (Ottawa, Ont.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

10 authors.

Brenda L GonzalesSchool of Medicine, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, San Martín de Porres 15102, Lima 41, Peru. Electronic address: brenda.gonzales@unmsm.edu.pe.
Ana C Ho-PalmaDepartment of Human Medicine, School of Human Medicine, Universidad Nacional del Centro del Perú, Av. Mariscal Castilla 3909, Huancayo 12006, Peru. Electronic address: ahopalma@uncp.edu.pe.
Daniel A AndradeDepartment of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru; Tropical and Highlands Veterinary Research Institute, Universidad Nacional Mayor de San Marcos, Jr. 28 de Julio s/n, Jauja, 12150, Peru. Electronic address: daniel.andrade@unmsm.edu.pe.
Cristina AntayDepartment of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru. Electronic address: cristina.antay1102@gmail.com.
Cesar A Valdivia-CarreraDepartment of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru; Tropical and Highlands Veterinary Research Institute, Universidad Nacional Mayor de San Marcos, Jr. 28 de Julio s/n, Jauja, 12150, Peru. Electronic address: cesar.valdivia@unmsm.edu.pe.
Matteo CrottaVeterinary Epidemiology, Economics and Public Health Group, WOAH Collaborating Centre for Risk Analysis and Modelling, Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, United Kingdom; European Food Safety Authority (EFSA), Via Carlo Magno, 43126, Parma, Italy. Electronic address: mcrotta4@rvc.ac.uk.
Georgina LimonVeterinary Epidemiology, Economics and Public Health Group, WOAH Collaborating Centre for Risk Analysis and Modelling, Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, United Kingdom. Electronic address: georgina.limon-vega@pirbright.ac.uk.
Armando GonzalezDepartment of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru. Electronic address: agonzalezz@unmsm.edu.pe.
Javier GuitianVeterinary Epidemiology, Economics and Public Health Group, WOAH Collaborating Centre for Risk Analysis and Modelling, Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, United Kingdom. Electronic address: JGuitian@rvc.ac.uk.
Eloy Gonzales-GustavsonDepartment of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru; Tropical and Highlands Veterinary Research Institute, Universidad Nacional Mayor de San Marcos, Jr. 28 de Julio s/n, Jauja, 12150, Peru; Global Health Center, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, San Martín de Porres 15102, Lima 41, Peru. Electronic address: egonzalesg@unmsm.edu.pe.

Funding

Training in Parasitic Diseases and Central Nervous System Infections in Peru.D43TW001140 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI GARCIA, HECTOR HUGO, GILMAN, ROBERT H · 1999 to 2025
$5.7M
FIC NIH HHS D43 TW001140
6 · The paper itself

Abstract

Campylobacter is a major cause of foodborne gastroenteritis worldwide, with the mishandling of contaminated chicken meat among the main pathways for human infection. Granted the disease burden due to this pathogen, systematic assessments of its potential impact are necessary. The aims of this study were to evaluate both presence and load of Campylobacter in chicken meat sold in traditional markets, assess risk factors related with the infrastructure and hygienic conditions of market stalls, and evaluate control strategies for campylobacteriosis in Peru through a quantitative microbiological risk assessment (QMRA), a data-driven, systematic approach to quantitatively assess risks by integrating empirical contamination levels, microbial behavior, and consumer exposure. Between February and December 2022, a total of 90 chicken meat samples from traditional markets were sampled and evaluated by both culture and quantitative real-time polymerase chain reaction (qPCR). Campylobacter spp. were detected in 28 % and 76 % of samples with a mean quantification of 3.3 log

Indexed as

CampylobacterChickensFood ContaminationFood MicrobiologyMeatAnimalsCampylobacter InfectionsFood HandlingHumansPeruReal-Time Polymerase Chain ReactionRisk AssessmentCampylobacterChicken meatCultureQMRAqPCRTraditional markets

Identifiers

PMID39779164
PMCPMC12371221

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.