Evidence map›Paper›PMID 28906365›Full record

ArticleMedicine2017

The antibiotic susceptibility patterns of uropathogens among children with urinary tract infection in Shiraz.

Gholamreza Pouladfar, Mitra Basiratnia, Mojtaba Anvarinejad, Pejman Abbasi, Fatemeh Amirmoezi, Samaneh Zare

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Article
  3. Antibiotic Resistance of UropathogenicIranian journal of public health · 2024
    Review
  4. Article
  5. Article
  6. Molecular epidemiology of antibiotic-resistantIranian journal of microbiology · 2023
    Article
  7. Article
  8. Article
  9. Etiology and Antibiotic Susceptibility Patterns of Urinary Tract Infections in Children in a General Hospital in Kuwait: A 5-Year Retrospective Study.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Article
  10. Article
  11. Prevalence of ESBL and AmpC genes inNew microbes and new infections · 2022
    Article
  12. Frequency of Beta-Lactamase Antibiotic Resistance Genes inEthiopian journal of health sciences · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The Phylogenetic Relatedness ofInfection and drug resistance · 2020
    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 4 institutions in 3 countries.

Gholamreza PouladfarAlborzi Clinical Microbiology Research Center, Nemazee Teaching Hospital Division of Pediatric Nephrology Hematology Research Center Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mitra Basiratnia
Mojtaba Anvarinejad
Pejman Abbasi
Fatemeh Amirmoezi
Samaneh Zare
Razi Hospital · IREndocrinology Research Center · RUPediatric Nephrology of Alabama · USShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infection (UTI) is one of the most common bacterial infections in pediatrics. Delay in diagnosis and treatment can cause significant morbidity. The physicians knowledge regarding the symptoms, microorganisms that caused UTI, and effective antibiotics in a geographical area can help them to select the appropriate antibiotics. This study was performed to determine the prevalence of bacteria that cause UTI and their susceptibility to common antibiotics as well as the common symptoms and associated factors in children of Shiraz, Southern Iran.This cross sectional study was performed among 202 children with UTI, aged 2 months to 18 years old, between August and November 2014 in pediatric medical centers of Shiraz University of Medical Sciences. Urine samples were collected using urinary catheter or suprapubic in children < 2 years and mid-stream in children over 2 years, respectively. The type of micro-organisms causing UTI was determined and evaluation of antibiotic susceptibility for each organism was assayed by the Kirby Bauer method using antibiogram test. Patient's information was collected through checking the medical documents and interview with parents.Our results showed that the frequency of UTI was significantly higher in girls (70.3%) than in boys. The most commonly discovered pathogens were Escherichia coli (E coli) (51.5%), followed by Klebsiella spp. (16.8%), and Enterococcus spp. (9.9%). Overall susceptibility test showed the highest resistance to ampicillin (81.2%) and cotrimoxazole (79.2%), and the highest sensitivity to imipenem (90.1%) and Gentamicin (65.3%). Gram negative and positive bacteria showed the highest antibiotic resistance to amoxicillin (83.8%) and clindamycin (100%), respectively. In addition, production of extended spectrum beta lactamase (ESBL) was 69.2% and 30.8% in E coli and Kelebsiella respectively.The efficacy of third generation of the cephalosporins was reduced because of the high rate of production of ESBL and drug resistance. These results inform the physician as to which antibiotics are appropriate to prescribe for the patient, as well as urine culture reports and following the patient's clinical response so that high antimicrobial resistance is not developed at the community level.

Indexed as

Drug Resistance, MicrobialAdolescentAnti-Bacterial AgentsCathetersChildChild, PreschoolCross-Sectional StudiesEscherichia coliEscherichia coli InfectionsFemaleHospitals, PediatricHumansInfantIranMaleMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID28906365
PMCPMC5604634
OpenAlexW2755883698

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LicenceCC BY
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Registered trials

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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.