Evidence map›Paper›PMID 35839172›Full record

ArticlePloS one2022

Could the type and severity of gross lesions in pig lymph nodes play a role in the detection of Mycobacterium avium?

Aleksandra Kaczmarkowska, Anna Didkowska, Sylwia Brzezińska, Daniel Klich, Ewelina Kwiecień, Izabella Dolka, Piotr Kociuba, Magdalena Rzewuska, Ewa Augustynowicz-Kopeć, Krzysztof Anusz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Frontiers in cellular and infection microbiology · 2026
    Article
  2. Article
  3. Animals : an open access journal from MDPI · 2023
    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 at 2 institutions in 1 country.

Aleksandra KaczmarkowskaDepartment of Food Hygiene and Public Health Protection, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.ORCID 0000-0001-6278-3352
Anna DidkowskaDepartment of Food Hygiene and Public Health Protection, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.ORCID 0000-0003-1073-174X
Sylwia BrzezińskaDepartment of Microbiology, National Tuberculosis Reference Laboratory, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland.
Daniel KlichDepartment of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.ORCID 0000-0001-6276-2316
Ewelina KwiecieńDepartment of Preclinical Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
Izabella DolkaDepartment of Pathology and Veterinary Diagnostics, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
Piotr KociubaDepartment of Environmental Protection and Landscape Preservation, Institute of Mathematics, Informatics and Landscape Architecture, The John Paul II Catholic University of Lublin (KUL), Lublin, Poland.ORCID 0000-0002-9772-0180
Magdalena RzewuskaDepartment of Preclinical Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
Ewa Augustynowicz-KopećDepartment of Microbiology, National Tuberculosis Reference Laboratory, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland.
Krzysztof AnuszDepartment of Food Hygiene and Public Health Protection, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
Warsaw University of Life Sciences · PLJohn Paul II Catholic University of Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mycobacterium avium complex (MAC) comprises a widespread group of slowly-growing bacteria from the Mycobacteriaceae. These bacteria are responsible for opportunistic infections in humans and animals, including farm animals. The aim of the study was to determine whether it is possible to predict the presence of M. avium in pig lymph nodes based on the size and type of lesions found during post-mortem examination at a slaughterhouse. Lymph nodes were collected from 10,600 pigs subjected to such post-mortem examination. The nodes were classified with regard to their quality, and the number of tuberculosis-like lesions; following this, 86 mandibular lymph nodes with lesions and 113 without visible macroscopic lesions were selected for further study. Cultures were established on Löwenstein-Jensen and Stonebrink media, and a commercial GenoType Mycobacterium CM test was used to identify and differentiate M. avium species. The prevalence of M. avium was 56.98% in the lymph nodes with lesions and 19.47% in the unchanged ones. Statistical analysis indicated that visual assessment of lesions in the mandibular lymph nodes, in particular the number of tuberculous lesions, is a highly-efficient diagnostic tool. Similar results were obtained for estimated percentage area affected by the lesion, i.e. the ratio of the changed area of the lymph node in cross-section to the total cross-sectional area of the lymph node; however, this method is more laborious and its usefulness in slaughterhouse conditions is limited. By incising the lymph nodes and assessing the number of tuberculosis-like lesions, it is possible to limit the inclusion of meat from pigs infected with M. avium into the human food chain.

Indexed as

Swine DiseasesTuberculosisAnimalsHumansLymph NodesMycobacterium aviumMycobacterium avium ComplexSwine

Identifiers

PMID35839172
PMCPMC9286258
OpenAlexW4285491729

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.