Evidence map›Paper›PMID 29657433›Full record

ArticleVeterinary world2018

Isolation of Shiga toxin-producing

Sreepriya Prakasan, Parmanand Prabhakar, Manjusha Lekshmi, Sanath Kumar, Binaya Bhusan Nayak

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  3. Carbapenem-resistantEpidemiology and infection · 2022
    Article
  4. Survival of the blaArchives of microbiology · 2021
    Article
  5. Frontiers in microbiology · 2021
    Article
  6. Isolation and characterization ofVeterinary world · 2020
    Article
  7. Article
  8. Recent Updates on Outbreaks of Shiga Toxin-ProducingFrontiers in cellular and infection microbiology · 2020
    Review
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 at 1 institution in 1 country.

Sreepriya PrakasanDepartment of Post-Harvest Technology, Quality Control Laboratory, ICAR-Central Institute of Fisheries Education, Versova, Mumbai, Maharashtra, India.
Parmanand PrabhakarDepartment of Post-Harvest Technology, Quality Control Laboratory, ICAR-Central Institute of Fisheries Education, Versova, Mumbai, Maharashtra, India.
Manjusha LekshmiDepartment of Post-Harvest Technology, Quality Control Laboratory, ICAR-Central Institute of Fisheries Education, Versova, Mumbai, Maharashtra, India.
Sanath KumarDepartment of Post-Harvest Technology, Quality Control Laboratory, ICAR-Central Institute of Fisheries Education, Versova, Mumbai, Maharashtra, India.
Binaya Bhusan NayakDepartment of Post-Harvest Technology, Quality Control Laboratory, ICAR-Central Institute of Fisheries Education, Versova, Mumbai, Maharashtra, India.
Central Institute of Fisheries Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimShiga toxin-producing MATERIALS AND

methodsA total of 368

resultsOne or more Shiga toxins genes were detected in 61 isolates. Of 39 samples analyzed, 10 (25.64%) samples harbored STEC. Other virulence genes, namely,

conclusionThe results of this study showed the occurrence of STEC in seafood harboring one or more Shiga toxin genes. The detection of STEC by PCR may be hampered due to the presence of variant genes such as the

Indexed as

Escherichia colipathogenseafoodShiga toxinShiga toxin-producing Escherichia colivirulence gene

Identifiers

PMID29657433
PMCPMC5891856
OpenAlexW2794537767

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.