Evidence map›Paper›PMID 31564925›Full record

ArticleInfection and drug resistance2019

Characterization of antibiotic resistance and virulence factors of

Maryam Haghighatpanah, Ali Mojtahedi

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
  7. Upregulation ofNew microbes and new infections · 2024
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  10. Identification and Evaluation of Pathogenic Genes (Reports of biochemistry & molecular biology · 2023
    Article
  11. Article
  12. Article
  13. Association of Antibiotic Resistance Traits in UropathogenicThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Dissemination of different sequence types lineages harboringIranian journal of basic medical sciences · 2020
    Article
  18. 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

2 authors at 2 institutions in 1 country.

Maryam HaghighatpanahDepartment of Microbiology, Islamic Azad University, Lahijan Branch, Guilan, Iran.
Ali MojtahediDepartment of Microbiology, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.ORCID 0000-0002-5385-9367
Guilan University of Medical Sciences · IRIslamic Azad University, Lahijan Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infections (UTIs) are one of the most frequent human infectious diseases causing considerable amount of morbidity and mortality. The present study aimed to investigate the occurrence of antibiotics resistance and virulence genes among

methodsThis cross-sectional study was performed at 5 teaching hospitals in Rasht in the north of Iran. Totally, 129

resultsThe results of antibiotic susceptibility showed that the highest resistance rates were to ampicillin (78.3%) followed by nalidixic acid (74.4%) and trimethoprim/sulfamethoxazole (69.8%). On the other hand, the highest susceptibility was toward nitrofurantoin (96.1%) and imipenem (92.2%). Further analysis revealed that the rate of ESBL-producing and multiple-drug resistant isolates was 51.2% and 84.5%, respectively. Molecular analysis revealed that

conclusionIn summary, our results showed a remarkable rate of drug resistance and heterogeneity for virulence factors among

Indexed as

antibiotics resistanceESBLEscherichia coliurinary tract infectionsvirulence factors

Identifiers

PMID31564925
PMCPMC6731957
OpenAlexW2971386993

What OpenQuestion holds

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LicenceCC BY-NC
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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.