Evidence map›Paper›PMID 36119856›Full record

ReviewHeliyon2022

Antibiotic susceptibility among non-clinical

Angie K Castillo, Kathya Espinoza, Antony F Chaves, Fernando Guibert, Joaquim Ruiz, Maria J Pons

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 46% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Antimicrobial Resistance and Phylo-Groups ofAntibiotics (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Resistome and Phylogenomics ofAntibiotics (Basel, Switzerland) · 2025
    Article
  4. JAC-antimicrobial resistance · 2025
    Article
  5. Traditional marketed meats as a reservoir of multidrug-resistant Escherichia coli.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Antimicrobial resistance profiles ofJAC-antimicrobial resistance · 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

6 authors at 1 institution in 1 country.

Angie K CastilloLaboratorio de Genética Molecular y Bioquímica, Universidad Científica Del Sur, Lima, Peru.
Kathya EspinozaLaboratorio de Genética Molecular y Bioquímica, Universidad Científica Del Sur, Lima, Peru.
Antony F ChavesLaboratorio de Genética Molecular y Bioquímica, Universidad Científica Del Sur, Lima, Peru.
Fernando GuibertLaboratorio de Genética Molecular y Bioquímica, Universidad Científica Del Sur, Lima, Peru.
Joaquim RuizLaboratorio de Genética Molecular y Bioquímica, Universidad Científica Del Sur, Lima, Peru.
Maria J PonsLaboratorio de Genética Molecular y Bioquímica, Universidad Científica Del Sur, Lima, Peru.
Universidad Científica del Sur · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Antimicrobial resistance is an increasing health problem worldwide with serious implications in global health. The overuse and misuse of antimicrobials has resulted in the spread of antimicrobial-resistant microorganisms in humans, animals and the environment. Surveillance of antimicrobial resistance provides important information contributing to understanding dissemination within these environments. These data are often unavailable in low- and middle-income countries, such as Peru. This review aimed to determine the levels of antimicrobial resistance in non-clinical Methods: We searched 2009-2019 literature in PUBMED, Google Scholar and local repositories. Results: Thirty manuscripts including human, food, environmental, livestock, pets and/or wild animals' samples were found. The analysis showed high resistance levels to a variety of antimicrobial agents, with >90% of resistance for streptomycin and non-extended-spectrum cephalosporin in livestock and food. High levels of rifamycin resistance were also found in non-clinical samples from humans. In pets, resistance levels of 70->90% were detected for quinolones tetracycline and non-extended spectrum cephalosporins. The results suggest higher levels of antimicrobial resistance in captive than in free-ranging wild-animals. Finally, among environmental samples, 50-70% of resistance to non-extended-spectrum cephalosporin and streptomycin was found. Conclusions: High levels of resistance, especially related to old antibacterial agents, such as streptomycin, 1st and 2nd generation cephalosporins, tetracyclines or first-generation quinolones were detected. Antimicrobial use and control measures are needed with a One Health approach to identify the main drivers of antimicrobial resistance due to interconnected human, animal and environmental habitats.

Indexed as

Antimicrobial resistanceEscherichia coliOne health

Identifiers

PMID36119856
PMCPMC9479018
OpenAlexW4295204499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.