Evidence map›Paper›PMID 29657388›Full record

ArticleVeterinary world2018

Occurrence and quantification of Shiga toxin-producing

C Sethulekshmi, C Latha, C J Anu

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Molecular detection of theOpen veterinary journal · 2026
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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

3 authors at 1 institution in 1 country.

C SethulekshmiDepartment of Veterinary Public Health, College of Veterinary and Animal Sciences, Mannuthy, Thrissur, Kerala, India.
C LathaDepartment of Veterinary Public Health, College of Veterinary and Animal Sciences, Mannuthy, Thrissur, Kerala, India.
C J AnuDepartment of Veterinary Public Health, College of Veterinary and Animal Sciences, Mannuthy, Thrissur, Kerala, India.
Kerala Veterinary and Animal Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe objective of the study was to detect Shiga toxin-producing MATERIALS AND

methodsA total of 758 samples were collected during a period from January 2015 to December 2016 from Kozhikode, Thrissur, and Alappuzha districts of Kerala. The samples consisted of raw milk (135), pasteurized milk (100), beef (132), buffalo meat (130), chevon (104), beef kheema (115), and beef sausage (42). All the samples collected were subjected to isolation and identification of STEC by conventional culture technique. Confirmation of virulence genes was carried out using PCR. For the quantification of STEC in different food matrices, a qPCR was standardized against

resultsThe overall occurrence of STEC in raw milk (n=135), beef (n=132), buffalo meat (n=130), chevon (n=104), and beef kheema (n=115) samples collected from Kozhikode, Thrissur, and Alappuzha districts of Kerala was 19.26%, 41.6%, 16.92%, 28.85%, and 41.74%, respectively. PCR revealed the presence of

conclusionThe considerably high occurrence of STEC in the study confirms the importance of foods of animal origin as a vehicle of infection to humans. In the present study, on comparing the overall occurrence of STEC, the highest percentage of occurrence was reported in beef kheema samples. The study shows the need for rigid food safety measures to combat the potential pathogenic effects of harmful bacteria throughout the production chain from production to consumption.

Indexed as

food matricesoccurrencepolymerase chain reactionreal-time quantitative polymerase chain reactionShiga toxigenic Escherichia coli

Identifiers

PMID29657388
PMCPMC5891859
OpenAlexW2791688175

What OpenQuestion holds

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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.