Evidence map›Paper›PMID 26122120›Full record

ArticleInternational urology and nephrology2015

A novel rat model of catheter-associated urinary tract infection.

Hee Youn Kim, Hyun-Sop Choe, Dong Sup Lee, Jae Mo Yoo, Seung-Ju Lee

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Urinary tract infections and catheter-associated urinary tract infections caused byMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  3. Article
  4. Article
  5. Review
  6. Review
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

5 authors at 2 institutions in 1 country.

Hee Youn KimDepartment of Urology, St. Vincent's Hospital, The Catholic University of Korea, College of Medicine, 93 Jungbu-daero, Paldal-gu, Suwon, Gyeonggi-do, 442-723, Republic of Korea.
Hyun-Sop Choe
Dong Sup Lee
Jae Mo Yoo
Seung-Ju Lee
Catholic University of Korea · KRSt. Vincent's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe authors aimed to establish a rat model of catheter-associated UTIs using a complete urethral catheter. Bacterial growth in biofilms on urethral catheters was analyzed using standard culture methods to validate this model.

methodsA total of 15 rats were divided into the following three groups according to the duration of indwelling catheter placement: a 2-week group (n = 5, group 1), a 4-week group (n = 5, group 2), and a 6-week group (n = 5, group 3). A urethral catheter was inserted with the distal end buried just beneath the urethra, and it was fixed inside of the urethra with a single suture starting at the vagina so that the suture knot was hidden inside of the vagina, preventing the rats from biting it off. A standard culture method was used to analyze bacterial growth in the biofilms.

resultsAll 15 urethral catheters were intact at the end of the experiment. Pseudomonas aeruginosa, Escherichia coli, Enterococcus spp., Enterococcus faecalis, and Corynebacterium spp. were identified in the biofilms on the urethral catheters.

conclusionOur rat UTI model consisting of a complete urinary catheter is feasible. Our study may provide fundamental data for future biofilm studies incorporating molecular techniques, and even clinical studies.

Indexed as

BiofilmsAnimalsBacteriaCatheter-Related InfectionsDisease Models, AnimalFemaleRatsRats, WistarUrinary CatheterizationUrinary Tract Infections

Identifiers

PMID26122120
OpenAlexW754922602

What OpenQuestion holds

Textmetadata
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.