Evidence map›Paper›PMID 41282972›Full record

ArticleIranian journal of veterinary research2025

Antimicrobial resistance patterns of multidrug resistant ESBL-producing

A Mushtaq, T S Rai, A K Arora, M Chandra, J S Bedi, J Singh

Abstract read
In one paragraph

Article in Iranian journal of veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Antimicrobial-ResistantAntibiotics (Basel, Switzerland) · 2026
    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.

A MushtaqDepartment of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.
T S RaiDepartment of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.
A K AroraDepartment of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.
M ChandraDepartment of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.
J S BediCentre of One Health, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.
J SinghDepartment of Veterinary and Animal Husbandry Extension, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, 141004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A serious community concern worldwide is the alarming spread of enterobacteria producing extended-spectrum beta-lactamase (ESBL) enzymes. The food-producing animals harbor ESBL-producing enterobacterales and disseminate these resistant strains of pathogens through faeces. ESBL producers are multidrug-resistant phenotype posing a challenge to the disease management in clinical settings. Aims: The objective of the present study was to investigate the prevalence of ESBL-producing Methods: Presumptive ESBL producing bacteria were identified using ESBL agar, which were then confirmed by combined disc method (CDM). Genotypic detection of beta-lactamase, quinolones and tetracycline resistance genes was done using PCR. Results: A total of 156 enteropathogenic Conclusion: The findings of the present study revealed a high prevalence of multidrug resistance

Indexed as

Antimicrobial resistanceCombined disc methodExtended-spectrum beta-lactamaseMultiple antibiotic resistance

Identifiers

PMID41282972
PMCPMC12640159

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.