ArticleJournal of clinical microbiology2010
Evaluation of pulsed-field gel electrophoresis profiles for identification of Salmonella serotypes.
Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of pulsed-field gel electrophoresis fingerprints based on a constructed Salmonella database.PloS one · 2013Pooled it
- Genomic and phenotypic characterization ofMicrobial genomics · 2023Article
- Assessment and Comparison of Molecular Subtyping and Characterization Methods forFrontiers in microbiology · 2019Review
- Molecular Tools To Study Preharvest Food Safety Challenges.Microbiology spectrum · 2018Review
- Prevalence, Serotyping, Molecular Typing, and Antimicrobial Resistance ofFrontiers in microbiology · 2018Article
- Prevalence and Characterization of Multi-Drug-Resistant Gram-Negative Bacilli Isolated From Lebanese Poultry: A Nationwide Study.Frontiers in microbiology · 2018Article
- Phenotypic and Genotypic Eligible Methods forFrontiers in microbiology · 2017Review
- A novel procedure on next generation sequencing data analysis using text mining algorithm.BMC bioinformatics · 2016Article
- AItalian journal of food safety · 2015Article
- First Report of Anaerobic Isolation of Salmonella enterica from Liver Abscesses of Feedlot Cattle.Journal of clinical microbiology · 2015Article
- Subtype analysis of Salmonella isolated from subclinically infected dairy cattle and dairy farm environments reveals the presence of both human- and bovine-associated subtypes.Veterinary microbiology · 2014Article
- Article
- Longitudinal study of distributions of similar antimicrobial-resistant Salmonella serovars in pigs and their environment in two distinct swine production systems.Applied and environmental microbiology · 2013Article
- Comparison of typing methods with a new procedure based on sequence characterization for Salmonella serovar prediction.Journal of clinical microbiology · 2013Article
- Data mining tools for Salmonella characterization: application to gel-based fingerprinting analysis.BMC bioinformatics · 2013Article
- Article
- Prediction system for rapid identification of Salmonella serotypes based on pulsed-field gel electrophoresis fingerprints.Journal of clinical microbiology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pulsed-field gel electrophoresis (PFGE) is a standard typing method for isolates from Salmonella outbreaks and epidemiological investigations. Eight hundred sixty-six Salmonella enterica isolates from eight serotypes, including Heidelberg (n = 323), Javiana (n = 200), Typhimurium (n = 163), Newport (n = 93), Enteritidis (n = 45), Dublin (n = 25), Pullorum (n = 9), and Choleraesuis (n = 8), were subjected to PFGE, and their profiles were analyzed by random forest classification and compared to conventional hierarchical cluster analysis to determine potential predictive relationships between PFGE banding patterns and particular serotypes. Cluster analysis displayed only the underlying similarities and relationships of the isolates from the eight serotypes. However, for serotype prediction of a nonserotyped Salmonella isolate from its PFGE pattern, random forest classification provided better accuracy than conventional cluster analysis. Discriminatory DNA band class markers were identified for distinguishing Salmonella serotype Heidelberg, Javiana, Typhimurium, and Newport isolates.
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.