Evidence map›Paper›PMID 39858335›Full record

ArticleAntibiotics (Basel, Switzerland)2025

Silver-Treated Sutures for the Prevention of Biofilm-Associated Surgical Site Infections.

Federica Paladini, Angelica Panico, Annalia Masi, Francesca Russo, Alessandro Sannino, Mauro Pollini

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Federica PaladiniDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-3647-6353
Angelica PanicoCaresilk S.r.l.s., c/o Dhitech, Via Monteroni, 73100 Lecce, Italy.
Annalia MasiDepartment of Engineering for Innovation, University of Salento, Via Monteroni, 73100 Lecce, Italy.
Francesca RussoDepartment of Engineering for Innovation, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0009-0006-5532-1604
Alessandro SanninoDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.
Mauro PolliniDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-2557-6471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe huge concerns associated with biofilm-related infections in surgical procedures, along with the antibiotic resistance demonstrated by an increasing number of bacteria, have highlighted the need for alternative and effective prevention approaches. The aim of this research was to develop novel antimicrobial coatings on surgical sutures for the prevention of surgical site infections through nanotechnology-based methods.

resultsThe results demonstrated that although very low amounts of silver precursor were adopted for the treatments, the silver coating was effective against

methodsNanostructured silver coatings were deposited onto the surface of polyglactin 910 absorbable braided sutures through a technology based on a photo-assisted chemical reaction. The materials were characterized in order to verify the efficacy of the coating in preventing biofilm formation and in reducing the bacterial colonization of the device.

conclusionsAs a broad-spectrum antimicrobial agent, silver represents an important option for the prevention and management of surgical site infections. The silver deposition technology adopted in this work provides an interesting strategy for preventing biofilm formation on medical devices such as surgical sutures.

Indexed as

antibiotic resistancebiofilminfectionnanotechnologysilver

Identifiers

PMID39858335
PMCPMC11763188

What OpenQuestion holds

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Registered trials

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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.