Evidence map›Paper›PMID 29550921›Full record

ReviewFolia microbiologica2018

Genotyping of Mycobacterium tuberculosis using whole genome sequencing.

Jana Amlerova, Ibrahim Bitar, Jaroslav Hrabak

Abstract readReview
PubMed Publisher
In one paragraph

Review in Folia microbiologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Non-tuberculous mycobacterial disease associated withFrontiers in veterinary science · 2023
    Article
  4. Article
  5. Review
  6. 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

3 authors at 1 institution in 1 country.

Jana AmlerovaBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic. amlerova@fnplzen.cz.
Ibrahim BitarBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Jaroslav HrabakBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Charles University · CZ

Funding

Charles University Research Fund PROGRES Q39Ministry of Education, Youth and Sports of the Czech Republic LO1503
6 · The paper itself

Abstract

Tuberculosis (TB) is considered one of the most serious infectious diseases worldwide. Effective control of tuberculosis infection involves multiple steps, such as reliable detection, treatment, an epidemiological control as a part of case management, and further surveillance and monitoring of TB spread in the human population. Due to the accelerating advances in molecular biology, especially in DNA sequencing, in the past decade, the application of these methods has become crucial for TB evolution studies, differentiation of Mycobacterium tuberculosis genotypes, and their distribution. Currently, several molecular genetic methods are available. The oldest typing methods (e.g., IS6110-RFLP, spoligotyping, and MIRU-VNTR) can discover the chain of transmission to the patient. Currently, whole genome sequencing facilitates is furthermore able to identify the source of infection, the transmission trays among individuals sharing the same isolate, as well as determination of the TB evolution and its resistance to antituberculotic agents. It is obvious that this technique will become a new gold standard in genotyping methods in tuberculosis molecular epidemiological studies. In this article, molecular genetic typing methods with a special focus on whole genome sequencing and data management are reviewed.

Indexed as

Genome, BacterialWhole Genome SequencingDrug Resistance, BacterialGenotypeHumansMolecular EpidemiologyMolecular TypingMycobacterium tuberculosisPhylogeographyTuberculosis

Identifiers

PMID29550921
OpenAlexW2793112309

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.