Evidence map›Paper›PMID 15240279›Full record

ArticleApplied and environmental microbiology2004

Characterization of Salmonella enterica serovar typhimurium from marine environments in coastal waters of Galicia (Spain).

Jaime Martinez-Urtaza, Ernesto Liebana, Lourdes Garcia-Migura, Pelayo Perez-Piñeiro, Montserrat Saco

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Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Prevalence of antibiotic-resistantPublic health in practice (Oxford, England) · 2025
    Article
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Edaphoclimatic seasonal trends and variations of theInfectious Disease Modelling · 2021
    Article
  8. Article
  9. Prevalence, Distribution, and Diversity ofFrontiers in microbiology · 2020
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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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

5 authors.

Jaime Martinez-UrtazaUnidad de Control de Moluscos, Instituto de Acuicultura, Universidad de Santiago de Compostela, Campus Universitario Sur, 15782 Santiago de Compostela, Spain. ucmjmur@usc.es
Ernesto Liebana
Lourdes Garcia-Migura
Pelayo Perez-Piñeiro
Montserrat Saco

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty-three Salmonella enterica serovar Typhimurium isolates from marine environments were characterized by phage typing, pulsed-field gel electrophoresis (PFGE) analysis, plasmid analysis, and antibiotic resistance, and the distribution of the different types in the coastal waters were subsequently analyzed. Five phage types were identified among the isolates (PT41, PT135, PT99, DT104, and DT193). PT135 isolates were exclusively detected during the winter months from 1998 to 2000, whereas DT104 and PT41 isolates were detected exclusively in the summer months from 2000 to 2002. XbaI PFGE analysis revealed 9 PFGE types, and plasmid profiling identified 8 plasmid types (with 1 to 6 plasmids) among the isolates. Only three isolates presented multidrug resistance to antibiotics. Two DT104 isolates were resistant to 8 and 7 antibiotics (profiles ACCeFNaSSuT and ACeFNeSSuT), whereas a PT193 isolate presented resistance to 6 antibiotics (profile ACFSSu). In addition, four PT41 isolates were resistant to a single antibiotic. The detection of multidrug-resistant phage types DT104 and DT193 in shellfish emphasizes the importance of monitoring the presence of Salmonella in routine surveillance of live bivalve molluscs.

Indexed as

Drug Resistance, BacterialDrug Resistance, MultipleElectrophoresis, Gel, Pulsed-FieldSalmonella typhimuriumSeawater

Identifiers

PMID15240279
PMCPMC444762

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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.