Evidence map›Paper›PMID 24527454›Full record

ReviewBioMed research international2014

Current methods in the molecular typing of Mycobacterium tuberculosis and other mycobacteria.

Tomasz Jagielski, Jakko van Ingen, Nalin Rastogi, Jarosław Dziadek, Paweł K Mazur, Jacek Bielecki

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 2 pooled it
12.9field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 2 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Genomic epidemiology of theFrontiers in microbiology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Genetic diversity and antibiotic resistance ofFrontiers in cellular and infection microbiology · 2025
    Article
  11. Article
  12. Review of methods for detection and characterization of non-tuberculous mycobacteria in aquatic organisms.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Review
  13. Article
  14. Biosensors; nanomaterial-based methods in diagnosing ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

6 authors at 5 institutions in 4 countries.

Tomasz JagielskiDepartment of Applied Microbiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Ilii Miecznikowa 1, 02-096 Warsaw, Poland.ORCID 0000-0001-9553-5742
Jakko van IngenDepartment of Medical Microbiology, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
Nalin RastogiWHO Supranational TB Reference Laboratory, TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe, BP 484, 97183 Abymes Cedex, France.ORCID 0000-0002-7199-7747
Jarosław DziadekMycobacterium Genetics and Physiology Unit, Institute of Medical Biology, Polish Academy of Sciences, Lodowa 106, 93-232 Łódź, Poland.
Paweł K MazurDepartment of Genetics, Stanford University Medical School, Stanford, CA 94305-5120, USA.
Jacek BieleckiDepartment of Applied Microbiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Ilii Miecznikowa 1, 02-096 Warsaw, Poland.
University of Warsaw · PLInstitut Pasteur de la Guadeloupe · GPPolish Academy of Sciences · PLRadboud University Nijmegen · NLStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the epidemiology of tuberculosis (TB) and nontuberculous mycobacterial (NTM) diseases, as in all infectious diseases, the key issue is to define the source of infection and to disclose its routes of transmission and dissemination in the environment. For this to be accomplished, the ability of discerning and tracking individual Mycobacterium strains is of critical importance. Molecular typing methods have greatly improved our understanding of the biology of mycobacteria and provide powerful tools to combat the diseases caused by these pathogens. The utility of various typing methods depends on the Mycobacterium species under investigation as well as on the research question. For tuberculosis, different methods have different roles in phylogenetic analyses and person-to-person transmission studies. In NTM diseases, most investigations involve the search for environmental sources or phylogenetic relationships. Here, too, the type of setting determines which methodology is most suitable. Within this review, we summarize currently available molecular methods for strain typing of M. tuberculosis and some NTM species, most commonly associated with human disease. For the various methods, technical practicalities as well as discriminatory power and accomplishments are reviewed.

Indexed as

HumansMolecular TypingMycobacterium tuberculosisTuberculosis

Identifiers

PMID24527454
PMCPMC3914561
OpenAlexW2014357260

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.