Evidence map›Paper›PMID 41094089›Full record

ArticleScientific reports2025

Investigation of shockwave treatment for disruption of bacterial biofilm on tubular structure.

Jihye Jo, Sarah Stadler, Peter Costandi, Thomas Hasenberg, Hyun Wook Kang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jihye JoIndustry 4.0 Convergence Bionics Engineering, Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea.
Sarah StadlerJohnson & Johnson Med Tech, New Brunswick, NJ, USA.
Peter CostandiJohnson & Johnson Med Tech, New Brunswick, NJ, USA.
Thomas HasenbergJohnson & Johnson Med Tech, New Brunswick, NJ, USA.
Hyun Wook KangIndustry 4.0 Convergence Bionics Engineering, Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea. wkang@pukyong.ac.kr.

Funding

Ministry of Education RS-2021-NR060118
6 · The paper itself

Abstract

Biofilms, which are structures formed by microorganisms, are protected by extracellular polymeric substances (EPS) secreted by bacteria against external threats, including antibiotics. The current study aims to assess the effects of shockwave treatment combined with antibiotic therapy on Pseudomonas aeruginosa biofilms in tubular structures in vitro. The biofilms were formed on the inner surfaces of silicone tubes for three days under dynamic conditions. The biofilms were treated with shockwave treatment (120 pulses at 2 Hz), followed by exposure to 4 µg/ml ciprofloxacin for 6 h. Bacterial viability was assessed using colony-forming unit (CFU) and confocal laser scanning microscopy (CLSM) with SYTO9/PI staining, while biofilm detachment was evaluated via crystal violet (CV) staining and scanning electron microscopy (SEM). According to the SEM and CFU analysis, the shockwave and antibiotic-combined treatment significantly detached the biofilm, removing up to 97.5% of the surface area and decreased bacterial viability by 40%, compared to untreated control biofilms. The CV staining showed a significant reduction in biofilm biomass to an OD

Indexed as

Anti-Bacterial AgentsBiofilmsHigh-Energy Shock WavesPseudomonas aeruginosaCiprofloxacinMicrobial ViabilityMicroscopy, ConfocalMicroscopy, Electron, ScanningAnti-Bacterial AgentsCiprofloxacinAntibiotic efficacyBalloon catheterBiofilmPseudomonas aeruginosaShockwave treatment

Identifiers

PMID41094089
PMCPMC12528757

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.