Evidence map›Paper›PMID 33149865›Full record

ArticleIranian journal of basic medical sciences2020

Evaluation of the genetic relatedness of

Niloofar Khodaei, Behrooz Sadeghi Kalani, Maryam Zamani, Rokhsareh Mohammadzadeh, Malihe Talebi, Tahmine Narimani, Negar Narimisa, Faramarz Masjedian Jazi

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Genotyping of Listeria monocytogenes isolates by high-resolution melting curve (HRM) analysis of tandem repeat locus.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Article
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

8 authors at 3 institutions in 1 country.

Niloofar KhodaeiMicrobial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Behrooz Sadeghi KalaniClinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Maryam ZamaniMicrobial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Rokhsareh MohammadzadehMicrobial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Malihe TalebiMicrobial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Tahmine NarimaniDepartment of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran.
Negar NarimisaMicrobial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Faramarz Masjedian JaziMicrobial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Biotechnology Research Center · IRIran University of Medical Sciences · IRMedical University of Ilam · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHuman gastrointestinal tract harbors a variety of bacteria with vital roles in human health. MATERIALS AND

methodsEight suitable tandem repeats (TRs) were selected by bioinformatics tools and were then subjected to PCR amplification using specific primers. Finally, MLVA profiles were clustered using BioNumerics 7.6 software package.

resultsAll VNTR loci were detected in all isolates using the PCR method. Overall,

conclusionThis study aimed at evaluating the efficiency of MLVA for the genetic differentiation of

Indexed as

Bacteroides fragilisMLVAPCR amplificationTandem repeatsTyping

Identifiers

PMID33149865
PMCPMC7585543
OpenAlexW3094668292

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.