Evidence map›Paper›PMID 38860007›Full record

SynthesisFrontiers in veterinary science2024

Prevalence of antibiotic resistance in

Negar Narimisa, Shabnam Razavi, Faramarz Masjedian Jazi

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Peptide PN5 fromACS omega · 2025
    Article
  5. Article
  6. Prevalence ofHealth science reports · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Targeting lon protease to inhibit persister cell formation inFrontiers in cellular and infection microbiology · 2024
    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

3 authors.

Negar NarimisaDepartment of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Shabnam RazaviDepartment of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Faramarz Masjedian JaziDepartment of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Antibiotic resistance in Methods: We conducted a comprehensive and systematic search for relevant articles until December 2023 in the following databases: PubMed, Scopus, Web of Science, and SID. The collected data were analyzed using Stata software version 17. Results: Eighteen studies examined the pattern of antibiotic resistance in Conclusion: Our findings indicate a high level of antibiotic resistance among the studied antibiotics. This high level of antibiotic resistance raises concerns and underscores the necessity for monitoring the use of antibiotics. Moreover, resistance to these antibiotics was more prevalent in samples isolated from animals compared to other sources. This highlights the importance of animal screening to detect the presence of drug-resistant isolates, with the ultimate goal of reducing antibiotic resistance and preventing the transmission of resistant strains to humans.

Indexed as

antibiotic resistancecefiximemeta-analysisSalmonella Typhimuriumtetracycline

Identifiers

PMID38860007
PMCPMC11163077

What OpenQuestion holds

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LicenceCC BY
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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.