Evidence map›Paper›PMID 42625932›Full record

ArticleIranian journal of microbiology2026

Reducing catheter urinary tract infection risk through biofilm prevention: evidence-based strategies for urinary catheter management.

Wani Devita Gunardi, Ade Dharmawan, Kris Herawan Timotius

Abstract read
In one paragraph

Article in Iranian journal of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wani Devita GunardiDepartment of Microbiology, Faculty of Medicine and Health Sciences, Krida Wacana Christian University, Jakarta, Indonesia.
Ade DharmawanDepartment of Microbiology, Faculty of Medicine and Health Sciences, Krida Wacana Christian University, Jakarta, Indonesia.
Kris Herawan TimotiusDepartment of Biochemistry, Faculty of Medicine and Health Sciences, Krida Wacana Christian University, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Catheter-associated urinary tract infections (CAUTIs) are common healthcare-associated infections mainly caused by biofilm formation on urinary catheters. This study aimed to provide evidence-based catheter management strategies to reduce CAUTI risk through biofilm prevention. Materials and Methods: This prospective observational study included 109 adult patients undergoing urinary catheterization between September 2017 and January 2018. Urine samples were collected after catheter insertion and before catheter removal. Bacteriuria was screened using flow cytometry and confirmed by urine culture. Removed catheters were cultured to assess biofilm formation, while isolates were tested for biofilm-forming ability using Congo Red Agar (CRA). Results: The mean catheterization duration was 5.6 ± 2.1 days, and most patients were catheterized for ≥5 days. Bacteriuria was significantly associated with catheterization (p = 0.029). Antibiotic use reduced bacteriuria incidence (p < 0.001) but did not significantly reduce biofilm formation (73.4%, p > 0.05). CRA-positive isolates showed 1.5-fold greater biofilm-forming potential. Female sex, early bacteriuria, and catheterization >5 days were associated with biofilm formation. Conclusion: Urinary catheterization promotes biofilm and increases CAUTI risk. Although antibiotics reduced bacteriuria, they showed limited efficacy against biofilms. Early bacteriuria screening, routine monitoring, biofilm prevention, and limiting catheter duration may help reduce CAUTI incidence.

Indexed as

Anti-bacterial agentsBacteriuriaBiofilmsTreatmentUrinary tract infections

Identifiers

PMID42625932
PMCPMC13490630

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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.