Evidence map›Paper›PMID 29416279›Full record

ArticleUrology annals

Characteristics of bacterial colonization after indwelling double-J ureteral stents for different time duration.

K S Shabeena, Rahul Bhargava, Muhammed A P Manzoor, M Mujeeburahiman

Open access · goldAbstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.3field-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

17 citing papers in PubMed, 46 citations in OpenAlex.

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  11. Regenerative biomaterials · 2022
    Article
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  13. Article
  14. Review
  15. Article
  16. Article
  17. Microbial Colonization Pattern of Indwelling Double J Stents in Children.Journal of Indian Association of Pediatric Surgeons
    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

4 authors at 1 institution in 1 country.

K S ShabeenaYenepoya Research Centre, Yenepoya University, Mangalore, Karnataka, India.
Rahul BhargavaDepartment of Urology, Yenepoya Medical College, Mangalore, Karnataka, India.
Muhammed A P ManzoorYenepoya Research Centre, Yenepoya University, Mangalore, Karnataka, India.
M MujeeburahimanDepartment of Urology, Yenepoya Medical College, Mangalore, Karnataka, India.
Yenepoya University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndwelling Double-J ureteral stenting is commonly used in urological practice and has various complications. This study aimed to assess the frequency of bacterial stent colonization and stent-associated bacteriuria after indwelling it for different time durations and to evaluate the significance of urinary cultures for identification of colonizing microorganisms. MATERIALS AND

methodsA prospective cross-sectional study was conducted. Midstream urine from 72 patients undergoing J stent insertion was investigated microbiologically before stent insertion and on the day of stent removal. The stents were removed by aseptic manipulation, and 1-3 cm of the tip located in the bladder was collected for microbiological study. The urine and stent samples were cultured, and the bacterial pathogens were identified using standard microbiological methods followed by Phoenix automated system. Antimicrobial susceptibility testing was performed by Kirby-Bauer disc diffusion method.

resultsBacterial colonies were found in 47.2% (34 of 72) of the stents. Of the multiple pathogens identified,

conclusionHigh prevalence of bacterial isolates and risk of bacteriuria and colonization was found in the DJ stent tips, with

Indexed as

Antimicrobial susceptibilitybacterial colonizationureteral stents

Identifiers

PMID29416279
PMCPMC5791462
OpenAlexW2784038706

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LicenceCC BY-NC-SA
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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.