Evidence map›Paper›PMID 32965331›Full record

ArticleMemorias do Instituto Oswaldo Cruz2020

Genomic analysis of Latin American-Mediterranean family of Mycobacterium tuberculosis clinical strains from Kazakhstan.

Pavel Tarlykov, Sabina Atavliyeva, Arike Alenova, Yerlan Ramankulov

Open access · diamondAbstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2020. 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
0.1field-weighted citation impact, top 41% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Draft genome sequence of a multidrug-resistantMicrobiology resource announcements · 2023
    Article
  5. Genomic Characterization of Drug-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  6. Whole-Genome Sequence-Based Characterization of Pre-XDRDiagnostics (Basel, Switzerland) · 2023
    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

4 authors at 2 institutions in 2 countries.

Pavel TarlykovNational Center for Biotechnology, Nur-Sultan, Kazakhstan.ORCID http://orcid.org/0000-0003-2075-307X
Sabina AtavliyevaNational Center for Biotechnology, Nur-Sultan, Kazakhstan.
Arike AlenovaNational Scientific Center for Phthisiopulmonology, Almaty, Kazakhstan.
Yerlan RamankulovNational Center for Biotechnology, Nur-Sultan, Kazakhstan.
National Center for Biotechnology · KZKazakh Institute of Oncology and Radiology · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human-adapted strains of the Mycobacterium tuberculosis complex (MTBC) comprise seven phylogenetic lineages originally associated with their geographical distribution. Here, we report the genomes of three drug-resistant clinical isolates of the Latin American-Mediterranean (LAM) family collected in Kazakhstan. We utilised whole-genome sequencing to study the distribution and drug resistance of these isolates. Phylogenetic analysis grouped the genomes described in this study with the sequences from Russia, Uzbekistan, and Kazakhstan belonging to the LAM family. One isolate has acquired extensive drug resistance to seven antituberculosis drugs. Our results suggest at least two multi-drug resistant (MDR)/extensively drug-resistant (XDR)-associated genotypes of the LAM family circulate in Kazakhstan.

Indexed as

Antitubercular AgentsDrug Resistance, Multiple, BacterialGenomicsGenotypeHumansKazakhstanLatin AmericaMycobacterium tuberculosisPhylogenyTuberculosis, Multidrug-ResistantAntitubercular Agents

Identifiers

PMID32965331
PMCPMC7508292
OpenAlexW3088786772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.