ArticleBiomedica : revista del Instituto Nacional de Salud2020
Comparison of Escherichia coli antibiotic-resistance profiles and incidence of betalactamase phenotypes in three private health facilities in Perú
Article in Biomedica : revista del Instituto Nacional de Salud, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Etiology and Selected Multidrug-Resistance Patterns in Urinary Bacterial Isolates: A Comparative Analysis of Outpatients and Inpatients at a Tertiary Hospital in Mexico City.Microorganisms · 2026Article
- Predicting Antimicrobial Peptide Activity: A Machine Learning-Based Quantitative Structure-Activity Relationship Approach.Pharmaceutics · 2025Article
- Phylogenetic Analysis ofInfection & chemotherapy · 2025Article
- Diversity of enterobacterales in sediments of lagoons with fish farming activity and analysis of antibiotic resistance.Toxicology reports · 2023Article
- Antimicrobial Resistance in Humans, Animals, Water and Household Environs in Rural Andean Peru: Exploring Dissemination Pathways through the One Health Lens.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The appearance of multidrug-resistant and beta-lactamase producing enterobacteria in outpatient care facilities represent a public health problem in Perú. Objective: To compare the resistance profiles of uropathogenic Escherichia coli and to identify extended-spectrum beta-lactamase-producing phenotypes in three private health facilities located in the Peruvian coast, Andean and jungle regions. Materials and methods: We conducted a descriptive study on 98 urine samples from Lima (coast), Juliaca (Andean region) and Iquitos (jungle region) during 2016. We determined the antimicrobial susceptibility in 35 samples from Lima, 38 from Juliaca and 25 from Iquitos using eight antibiotic disks in samples from patients diagnosed with urinary infection. We also evaluated the production of extended-spectrum beta-lactamases with cefotaxime and ceftazidime disks and a combination of both with clavulanic acid on Mueller-Hinton agar. Results: We identified 18 resistance profiles ranging from those sensitive to others simultaneously resistant to seven antibiotics: 18.4% resistant to one and 54.0% to multiple antibiotics. We detected beta-lactamase production in 28.6% of the strains from the Puno region. Likewise, we observed a greater number of cases with resistance to ceftazidime, ceftriaxone, gentamicin, and trimethoprim-sulfamethoxazole in Puno’s health facility in patients within the 31 to 45 year age range. Conclusion: Resistance profiles varied according to the geographical location of the health facilities under study. Resistance to antibiotics was higher in the Andean region with 28.6% of strains producing extended-spectrum beta-lactamases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.