Evidence map›Paper›PMID 23356488›Full record

ArticleBMC infectious diseases2013

Biofilm formation by clinical isolates and the implications in chronic infections.

Carlos J Sanchez, Katrin Mende, Miriam L Beckius, Kevin S Akers, Desiree R Romano, Joseph C Wenke, Clinton K Murray

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 1 pooled it
14.7field-weighted citation impact, top 1% 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

148 citing papers in PubMed, 1 synthesis or guideline pooled it, 384 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Biofilm-Forming Capacity andAntibiotics (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Biofilm Formation in ClinicalBioMed research international · 2026
    Article
  9. Article
  10. A Highly Drug-ResistantIndian journal of microbiology · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Modern antiseptics against multidrug-resistantFrontiers in microbiology · 2025
    Article
  20. Article

88 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Carlos J SanchezDepartment of Extremity Trauma and Regenerative Medicine, United States Army Institute of Surgical Research, Ft, Sam Houston, San Antonio, TX, USA. carlos.j.sanchez3@us.army.mil
Katrin Mende
Miriam L Beckius
Kevin S Akers
Desiree R Romano
Joseph C Wenke
Clinton K Murray
United States Department of the Army · USSan Antonio Military Medical Center · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiofilm formation is a major virulence factor contributing to the chronicity of infections. To date few studies have evaluated biofilm formation in infecting isolates of patients including both Gram-positive and Gram-negative multidrug-resistant (MDR) species in the context of numerous types of infectious syndromes. Herein, we investigated the biofilm forming capacity in a large collection of single patient infecting isolates and compared the relationship between biofilm formation to various strain characteristics.

methodsThe biofilm-forming capacity of 205 randomly sampled clinical isolates from patients, collected from various anatomical sites, admitted for treatment at Brooke Army Medical Center (BAMC) from 2004-2011, including methicillin-resistant/methicillin susceptible Staphylococcus aureus (MRSA/MSSA) (n=23), Acinetobacter baumannii (n=53), Pseudomonas aeruginosa (n=36), Klebsiella pneumoniae (n=54), and Escherichia coli (n=39), were evaluated for biofilm formation using the high-throughput microtiter plate assay and scanning electron microscopy (SEM). Relationships between biofilm formation to clonal type, site of isolate collection, and MDR phenotype were evaluated. Furthermore, in patients with relapsing infections, serial strains were assessed for their ability to form biofilms in vitro.

resultsOf the 205 clinical isolates tested, 126 strains (61.4%) were observed to form biofilms in vitro at levels greater than or equal to the Staphylococcus epidermidis, positive biofilm producing strain, with P. aeruginosa and S. aureus having the greatest number of biofilm producing strains. Biofilm formation was significantly associated with specific clonal types, the site of isolate collection, and strains positive for biofilm formation were more frequently observed to be MDR. In patients with relapsing infections, the majority of serial isolates recovered from these individuals were observed to be strong biofilm producers in vitro.

conclusionsThis study is the first to evaluate biofilm formation in a large collection of infecting clinical isolates representing diverse types of infections. Our results demonstrate: (1) biofilm formation is a heterogeneous property amongst clinical strains which is associated with certain clonal types, (2) biofilm forming strains are more frequently isolated from non-fluid tissues, in particular bone and soft tissues, (3) MDR pathogens are more often biofilm formers, and (4) strains from patients with persistent infections are positive for biofilm formation.

Indexed as

BiofilmsAnti-Bacterial AgentsBacterial InfectionsChronic DiseaseDrug Resistance, BacterialGram-Negative BacteriaGram-Positive BacteriaHumansRecurrenceAnti-Bacterial Agents

Identifiers

PMID23356488
PMCPMC3568419
OpenAlexW2028784466

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.