ArticleInfection and drug resistance2018
Characterization of enterotoxin A-producing
Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed.
- Dual-ligand quantum dot biosensor combining IgY antibodies and DNA aptamers for rapid, on-site detection of staphylococcal enterotoxin A (SEA) in food matrices.Analytical and bioanalytical chemistry · 2026Article
- Development of Nanobody-Based Sandwich ELISA Resistant to SpA Interference for Sensitive Detection of Staphylococcal Enterotoxin A.Biosensors · 2025Article
- Evaluation of the Antimicrobial Activity of ZnO Nanoparticles against EnterotoxigenicLife (Basel, Switzerland) · 2022Article
- Evaluation of antibacterial activity induced bySaudi journal of biological sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
purposeThis study aims to characterize the wild-type staphylococcal enterotoxin A (SEA)-producing MATERIALS AND
methodsWe identified 29 wild-type
resultsAmong 29
conclusionThe present study exhibits varied SEA production capacity of the wild
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.