Evidence map›Paper›PMID 21682802›Full record

ReviewClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2011

Strain diversity, epistasis and the evolution of drug resistance in Mycobacterium tuberculosis.

S Borrell, S Gagneux

Abstract readReview
In one paragraph

Review in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Infection and drug resistance · 2023
    Article
  10. Article
  11. Frontiers in cellular and infection microbiology · 2022
    Review
  12. Compensatory effects ofEmerging microbes & infections · 2021
    Article
  13. Article
  14. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Whole Genome Sequencing ofFrontiers in microbiology · 2019
    Article
  19. Article
  20. 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

2 authors.

S BorrellDepartment of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland  University of Basel, Basel, Switzerland.
S Gagneux

Funding

Mycobacterium tuberculosis antigen diversityR01AI090928 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ERNST, JOEL D., GAGNEUX, SEBASTIEN · 2010 to 2014
$3.2M
NIAID NIH HHS R01 AI090928NIAID NIH HHS R01AI090928-01
6 · The paper itself

Abstract

Mycobacterium tuberculosis harbours little DNA sequence diversity compared with other bacteria. However, there is mounting evidence that strain-to-strain variation in this organism has been underestimated. We review our current understanding of the genetic diversity among M. tuberculosis clinical strains and discuss the relevance of this diversity for the ongoing global epidemics of drug-resistant tuberculosis. Based on findings in other bacteria, we propose that epistatic interactions between pre-existing differences in strain genetic background, acquired drug-resistance-conferring mutations and compensatory changes could play a role in the emergence and spread of drug-resistant M. tuberculosis.

Indexed as

Drug Resistance, BacterialEpistasis, GeneticPolymorphism, GeneticAntitubercular AgentsEvolution, MolecularGenotypeHumansMolecular EpidemiologyMycobacterium tuberculosisTuberculosisAntitubercular Agents

Identifiers

PMID21682802
PMCPMC3122159

What OpenQuestion holds

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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.