Evidence map›Paper›PMID 39455815›Full record

ArticleScientific reports2024

Preliminary study of molecular identification of Mycobacterium bovis from cow's milk in Lorestan (Iran).

Amin Zahrakar, Ehsan Rashidian, Amin Jaydari, Heidar Rahimi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. First report of whole genome sequence of a Mycobacterium bovis (3/86Rv) strain isolated from a cow in India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  4. 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

4 authors.

Amin ZahrakarDepartment of pathobiology, Faculty of Veterinary Medicine, Lorestan University, Khorramabad, Iran.
Ehsan RashidianDepartment of pathobiology, Faculty of Veterinary Medicine, Lorestan University, Khorramabad, Iran. rashidian.e@lu.ac.ir.
Amin JaydariDepartment of pathobiology, Faculty of Veterinary Medicine, Lorestan University, Khorramabad, Iran.
Heidar RahimiDepartment of pathobiology, Faculty of Veterinary Medicine, Semnan University, Semnan, Iran. Heidar.rahimi@semnan.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine tuberculosis is one of the most important common infectious diseases between humans and livestock. Cow's milk can be investigated as one of the transmission reservoirs of the disease. Our study was conducted to investigate the presence of Mycobacterium bovis (M. bovis) DNA in cow's milk from different regions of Lorestan province using Touch-down PCR (TD-PCR) method. So, 100 milk samples from industrial and traditional cattle farms were collected and evaluated according to the animal breed, the average age of the animal and the region where the animal was kept. Seven (26.9%) out of the 26 cow's milk samples contaminated with Mycobacterium spp., were diagnosed as M. bovis positive. The cattle with an average age of more than 5 years were most infected with Mycobacterium. Also, the crossbred cattle with an average age of 3 to 5 years, which were kept and raised in tropical areas, showed the highest rate of M. bovis infection. Based on our knowledge, this is the first study regarding the presence of Mycobacterium in cow's milk in Iran.

Indexed as

MilkMycobacterium bovisTuberculosis, BovineAnimalsCattleDNA, BacterialFemaleIranPolymerase Chain ReactionDNA, BacterialCowIranMilkMycobacterium bovisTouch-down PCR

Identifiers

PMID39455815
PMCPMC11512005

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.