Evidence map›Paper›PMID 34835363›Full record

ReviewMicroorganisms2021

Whole Genome Sequencing in the Management of Non-Tuberculous Mycobacterial Infections.

Matúš Dohál, Igor Porvazník, Ivan Solovič, Juraj Mokrý

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Detection ofMicroorganisms · 2026
    Article
  3. Article
  4. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria From 2012 Through 2020 in a 10-Hospital Network in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  5. Article
  6. Genomic analysis ofbioRxiv : the preprint server for biology · 2025
    Article
  7. TheMicroorganisms · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Comparative evaluation of MALDI-ToF mass spectrometry and Sanger sequencing of theFrontiers in cellular and infection microbiology · 2025
    Article
  12. Article
  13. NGS-based approach for diagnostically unidentifiedFrontiers in cellular and infection microbiology · 2025
    Article
  14. Article
  15. The Spread ofPathogens (Basel, Switzerland) · 2024
    Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Review
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 1 country.

Matúš DohálBiomedical Center Martin, Department of Pharmacology, Jessenius Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia.
Igor PorvazníkNational Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, 059 81 Vyšné Hágy, Slovakia.
Ivan SolovičNational Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, 059 81 Vyšné Hágy, Slovakia.
Juraj MokrýBiomedical Center Martin, Department of Pharmacology, Jessenius Faculty of Medicine, Comenius University, 036 01 Martin, Slovakia.ORCID 0000-0001-7756-5569
Catholic University in Ruzomberok · SKComenius University Bratislava · SK

Funding

Slovak Research and Development Agency 18-0084Vedecká grantová agentúra Ministerstva školstva, vedy, výskumu a športu Slovenskej republiky 1/0093/22
6 · The paper itself

Abstract

Infections caused by non-tuberculous mycobacteria (NTM) have been a public health problem in recent decades and contribute significantly to the clinical and economic burden globally. The diagnosis of infections is difficult and time-consuming and, in addition, the conventional diagnostics tests do not have sufficient discrimination power in species identification due to cross-reactions and not fully specific probes. However, technological advances have been made and the whole genome sequencing (WGS) method has been shown to be an essential part of routine diagnostics in clinical mycobacteriology laboratories. The use of this technology has contributed to the characterization of new species of mycobacteria, as well as the identification of gene mutations encoding resistance and virulence factors. Sequencing data also allowed to track global outbreaks of nosocomial NTM infections caused by

Indexed as

diagnosticsnon-tuberculous mycobacteriawhole-genome sequencing

Identifiers

PMID34835363
PMCPMC8621650
OpenAlexW3211315884

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.