Evidence map›Paper›PMID 29568806›Full record

ArticleGlobal health research and policy2018

Antibiotic resistance patterns of urinary tract pathogens in Turkish children.

Suzan Gunduz, Hatice Uludağ Altun

Open access · diamondAbstract read
In one paragraph

Article in Global health research and policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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
  8. Outpatient prescribing and prophylactic antibiotic use for recurrent urinary tract infections in British Columbia, Canada.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2021
    Article
  9. Article
  10. Article
  11. Antimicrobial Drug Resistance inFrontiers in veterinary science · 2020
    Article
  12. Distribution of Antibiotic-ResistantFrontiers in microbiology · 2020
    Article
  13. Identification and Characterization ofBioMed research international · 2019
    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 1 institution in 1 country.

Suzan GunduzDepartment of Pediatrics, Private Batman Hospital, Gultepe mah. Palmiyem 1 sitesi D blok no: 13, Batman, Turkey.
Hatice Uludağ AltunMicrobiologist and clinical Microbiologist, Ankara, Turkey.
Batman University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of local antimicrobial resistance patterns is essential for evidence- based empirical antibiotic prescribing. We aimed to investigate the distribution and changes in causative agents of urinary tract infections in children and the resistance rates, and to recommend the most appropriate antibiotics.

methodsIn this retrospective study, we evaluated causative agents and antimicrobial resistance in urine isolates from the positive community from September 2014 to April 2016 in a single hospital in Ankara, Turkey.

resultsA total of 850 positive urine cultures were identified, of which 588 (69.2%) were from girls and 262 (30.8%) were from boys. Their mean age was 36.5 ± 45.0 months. The most common causative agent was

conclusions

Indexed as

Empirical treatmentResistance patternsUrinary cultureUrinary tract infectionUropathogens

Identifiers

PMID29568806
PMCPMC5856228
OpenAlexW2802135499

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.