Evidence map›Paper›PMID 34426740›Full record

ArticleInternational journal of microbiology2021

Evaluation of Antibiotic Resistance and Biofilm Production among Clinical Strain Isolated from Medical Devices.

Veronica Folliero, Gianluigi Franci, Federica Dell'Annunziata, Rosa Giugliano, Francesco Foglia, Rossella Sperlongano, Anna De Filippis, Emiliana Finamore, Massimiliano Galdiero

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Efficacy of lysostaphin-coated titanium plates on implant-associated MRSA osteitis in minipigs.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  15. Article
  16. TiOMicroorganisms · 2024
    Review
  17. Review
  18. Characterization and Biofilm Inhibition of Multidrug-ResistantInternational journal of microbiology · 2024
    Article
  19. Article
  20. Article
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

9 authors at 2 institutions in 1 country.

Veronica Folliero *Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.ORCID https://orcid.org/0000-0002-7406-9882
Gianluigi Franci *Department of Medicine Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Fisciano 84081, Italy.ORCID https://orcid.org/0000-0003-3321-4331
Federica Dell'AnnunziataDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.
Rosa GiuglianoDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.ORCID https://orcid.org/0000-0001-9923-3194
Francesco FogliaDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.ORCID https://orcid.org/0000-0002-5005-8185
Rossella SperlonganoDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.
Anna De FilippisDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.ORCID https://orcid.org/0000-0002-0395-7962
Emiliana FinamoreDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.
Massimiliano GaldieroDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy.ORCID https://orcid.org/0000-0002-7186-9622
University of Campania "Luigi Vanvitelli" · ITUniversity of Salerno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial biofilms pose a serious threat to patients requiring medical devices (MDs). Prolonged periods of implantation carry a high risk of device-related infections (DRIs). Patients with DRIs often have negative outcomes following the failure of antibiotic treatment. Resistant DRIs are mainly due to the MDs contamination by bacteria producing biofilm. The present study aimed to detect biofilm formation among MD bacterial isolates and to explore their antibiotic resistance profile. The study was conducted on 76 MDs, collected at University Hospital of Campania "Luigi Vanvitelli," between October 2019 and September 2020. Identification of isolates and antibiotic susceptibility testing were performed using Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and Phoenix Becton Dickinson, respectively. Biofilm-forming abilities were assessed using the tissue culture plate (TCP) method. Among the 94 MDs isolated strains, 42.7% were Gram-positive, 40.3% Gram-negative, and 17% Candida species. Among 78 bacterial strains, 43.6% were non-biofilm producers while 56.4% produced biofilms. All biofilm producing isolates were sensitive to a limited spectrum of antibiotic classes. All moderate and strong biofilm producers and 81% of weak biofilm producers were Multidrug Resistance (MDR) strains. In contrast, among non-biofilm producers, only 11.8% were classified as MDR strains. Our results highlighted that Sulfamides and Glycopeptides for the major Gram-positive strains and Fluoroquinolones, Carbapenems, and Aminoglycosides for the most represented Gram-negative isolates could be the most suitable therapeutic choice for most biofilm-DRIs.

Identifiers

PMID34426740
PMCPMC8380152
OpenAlexW3194864198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.