Evidence map›Paper›PMID 39717239›Full record

ArticleAdvanced biomedical research2024

High Prevalence of Antimicrobial Resistance Genes in Multidrug-Resistant Extended-Spectrum Beta-Lactamase-Producing

Golnar Rahimzadeh, Shaghayegh Rezai, Reza Valadan, Raha Rezai, Saman Soleimanpour, Laleh Vahedi, Somayeh Sheidaei, Masoud Moradi, Mohammad Sadegh Rezai, Ebrahim Nemati

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Article in Advanced biomedical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Golnar RahimzadehPediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Shaghayegh RezaiDepartment of Medical Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Reza ValadanMolecular and Cell Biology Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Raha RezaiPediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Saman SoleimanpourDepartment of Medical Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Laleh VahediDepartment of Pathology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Somayeh SheidaeiDepartment of Pathology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Masoud MoradiStudent Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
Mohammad Sadegh RezaiPediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Ebrahim NematiPediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Amid the COVID-19 pandemic, the surge in hospital admissions and widespread use of broad-spectrum antibiotics have heightened the risk of hospital-acquired infections from multidrug-resistant (MDR) organisms, particularly Materials and Methods: The current study was conducted as a cross-sectional study. A total of 12,834 samples were collected from patients with healthcare-associated infections at four designated corona centers in Northern Iran, following the COVID-19 pandemic. Antimicrobial resistance was determined using standard broth micro-dilution, while resistance genes were accurately detected using the multiplex PCR method. Results: The results indicated that meropenem and ciprofloxacin had a resistance rate of 100% and 98.2%, respectively, while piperacillin-tazobactam showed the highest sensitivity rate at 54.4%. The frequency of specific genes, including Conclusions: In the current study, over 50% of MDR-ESBL-producing

Indexed as

COVID-19Escherichia coliextended-spectrum beta-lactamase (ESBL)multidrug-resistantmultiplex polymerase chain reaction

Identifiers

PMID39717239
PMCPMC11665164

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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.