Evidence map›Paper›PMID 31784605›Full record

ArticleScientific reports2019

Enhancing the differentiation of specific genotypes in Mycobacterium tuberculosis population.

Shima Hadifar, Mansour Kargarpour Kamakoli, Abolfazl Fateh, Seyed Davar Siadat, Farzam Vaziri

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Heterogeneity of Mycobacterium tuberculosis Strains Circulating in Panama's Western Region.The American journal of tropical medicine and hygiene · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Distribution of molecular strains ofEpidemiology and infection · 2021
    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

5 authors.

Shima HadifarDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Mansour Kargarpour KamakoliDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.ORCID http://orcid.org/0000-0002-8588-6407
Abolfazl FatehDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Seyed Davar SiadatDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Farzam VaziriDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran. f_vaziri@pasteur.ac.ir.ORCID http://orcid.org/0000-0001-7788-2548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, significant attention is directed towards the global lineages and sublineages of Mycobacterium tuberculosis (Mtb). NEW-1 (SIT 127) and CAS1-Delhi (SIT 26) strains are recognized as growing and circulating Mtb genotypes, especially in Asian countries. It is crucial to develop or enhance Mtb genotyping methods for a more accurate and simple differentiation of these families. We used 24-loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing for genotyping 217 Mtb isolates. To select the optimal MIRU-VNTR loci, we calculated the Hunter-Gaston discriminatory index (HGDI), allelic diversity, and accumulation of percentage differences (APDs) between the strains among different groups of genotypes (NEW-1 and non-NEW-1; CAS1-Delhi and non-CAS). Finally, the minimum spanning tree was constructed for clustering analysis. In the NEW-1 population, loci with APD > 60% were found to have a high discriminatory power. VNTR loci with APD > 50% showed high discrimination power for the CAS population. Our findings suggest that APDs, which are valuable for the selection of VNTR loci sets, may improve the discriminatory power of MIRU-VNTR typing for identification of Mtb genotypes in specific regions.

Indexed as

Bacterial Typing TechniquesDNA, BacterialGenetic LociGenotypeGenotyping TechniquesHumansMycobacterium tuberculosisTuberculosisDNA, Bacterial

Identifiers

PMID31784605
PMCPMC6884525

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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.