Evidence map›Paper›PMID 21366420›Full record

ReviewFuture microbiology2011

Genotyping of Mycobacterium tuberculosis: application in epidemiologic studies.

Midori Kato-Maeda, John Z Metcalfe, Laura Flores

Abstract readReview
In one paragraph

Review in Future microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 6 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

68 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. Article
  10. Evidence ofFrontiers in veterinary science · 2025
    Article
  11. Insidious transmission of Mycobacterium tuberculosis in Ordos, China: a molecular epidemiology study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Molecular Epidemiology of ClinicalInfection and drug resistance · 2023
    Article
  16. Article
  17. Article
  18. Strain-Level Profiling of Oral Microbiota with Targeted Sequencing.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  19. Article
  20. Article

8 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

3 authors.

Midori Kato-MaedaUniversity of California, San Francisco, Francis J Curry National Tuberculosis Center, Division of Pulmonary & Critical Care Medicine, San Francisco General Hospital, 1001 Potrero Avenue, Building 100, Room 109, Mail box 0841, San Francisco, CA 94110-0111, USA.
John Z Metcalfe
Laura Flores

Funding

Improving Early Identification of Drug Resistant Tuberculosis in HIV Prevalent SeK23AI094251 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI METCALFE, JOHN ZAPATA · 2011 to 2015
$625k
NIAID NIH HHS K23 AI094251
6 · The paper itself

Abstract

Genotyping is used to track specific isolates of Mycobacterium tuberculosis in a community. It has been successfully used in epidemiologic research (termed 'molecular epidemiology') to study the transmission dynamics of TB. In this article, we review the genetic markers used in molecular epidemiologic studies including the use of whole-genome sequencing technology. We also review the public health application of molecular epidemiologic tools.

Indexed as

Bacterial Typing TechniquesDNA, BacterialGenetic MarkersGenotypeHumansMolecular EpidemiologyMolecular TypingMycobacterium tuberculosisTuberculosisDNA, BacterialGenetic Markers

Identifiers

PMID21366420
PMCPMC4296029

What OpenQuestion holds

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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.