Evidence map›Paper›PMID 42065658›Full record

ReviewInvestigative and clinical urology2026

Emerging strategies for biofilm disruption in recurrent urinary tract infections.

Jin Bong Choi, Chang Il Choi, Taesoo Choi, Dong Soo Kim, Jeong Woo Lee

Abstract readReview
In one paragraph

Review in Investigative and clinical urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Jin Bong ChoiDepartment of Urology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID 0000-0003-2508-6819
Chang Il ChoiDepartment of Urology, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea.ORCID 0000-0001-6488-1933
Taesoo ChoiDepartment of Urology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Korea.ORCID 0000-0002-2800-5773
Dong Soo KimDepartment of Urology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea.ORCID 0000-0002-5696-0671
Jeong Woo LeeDepartment of Urology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea. jwleemed@hanmail.net.ORCID 0000-0002-4508-8240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilm formation is a key microbial survival mechanism that enables bacterial persistence and recurrence of urinary tract infections (UTIs), especially in patients with catheters or structural abnormalities. These complex microbial communities hinder antibiotic efficacy and facilitate the development of antibiotic resistance. Recent advances in microbiology and materials science have led to the emergence of diverse therapeutic approaches targeting biofilms. This review highlights current and investigational strategies for biofilm disruption, including the inhibition of quorum sensing, enzymatic or chemical degradation of extracellular polymeric substances, antimicrobial peptides, nanoparticle-based systems, and microbiota modulation. Understanding these evolving modalities may guide future individualized treatments for recurrent UTIs.

Indexed as

Anti-Bacterial AgentsBiofilmsUrinary Tract InfectionsAntimicrobial PeptidesDrug Resistance, BacterialHumansNanoparticlesQuorum SensingRecurrenceAnti-Bacterial AgentsAntimicrobial PeptidesAntibiotic resistanceBiofilmsUrinary tract infections

Identifiers

PMID42065658
PMCPMC13145781

What OpenQuestion holds

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LicenceCC BY-NC
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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.