Evidence map›Paper›PMID 42859224›Full record

SynthesisArchives of microbiology2026

Association of virulence genes with biofilm formation in clinical Enterococcus faecalis isolates: a systematic review and meta-analysis.

Abdulhamit Çalı, Safiye Göçer

Abstract readSystematic ReviewMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Archives of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Abdulhamit ÇalıDepartment of Medical Laboratory Techniques, Vocational School of Health Services, Lokman Hekim University, Ankara, Turkey. abdulhamit.cali@lokmanhekim.edu.tr.
Safiye GöçerMedical Microbiology Department, Faculty of Medicine, Lokman Hekim University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review and meta-analysis examined association between virulence gene carriage and phenotypic biofilm formation in human clinical Enterococcus faecalis isolates. PubMed, Scopus, and Web of Science databases were searched on April 9, 2026, and the protocol was registered in PROSPERO (CRD420261405485). Eligible studies used microplate-based biofilm assessment, detected virulence genes, and provided extractable 2 × 2 data. Random-effects meta-analyses were performed using odds ratios (OR). Twenty-six studies comprising 1848 isolates were included. For strong versus non-strong biofilm formation, esp (OR 2.34, 95% CI 1.32-4.13), efaA (OR 26.28, 95% CI 1.12-614.84), and sprE (OR 3.06, 95% CI 1.18-7.92) showed significant associations, although efaA and sprE estimates were based on few studies and were imprecise. For any biofilm versus no biofilm formation, asa1 (OR 2.55, 95% CI 1.39-4.67), esp (OR 2.71, 95% CI 1.82-4.04), agg (OR 1.87, 95% CI 1.25-2.78), and cylA (OR 2.17, 95% CI 1.20-3.91) were significant. Sensitivity analyses identified esp as the most consistent association, although heterogeneity remained for strong biofilm formation. Gene-biofilm associations were gene-specific and phenotype-dependent. esp positivity alone is insufficient to predict biofilm phenotype because biofilm formation is multifactorial and context dependent.

Indexed as

BiofilmsEnterococcus faecalisGram-Positive Bacterial InfectionsVirulence FactorsBacterial ProteinsHumansVirulenceBacterial ProteinsVirulence FactorsBiofilm formationClinical isolatesEnterococcus faecalisMeta-analysisVirulence genes

Identifiers

PMID42859224

What OpenQuestion holds

Textmetadata
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.