Evidence map›Paper›PMID 24962424›Full record

ReviewDrugs2014

Evolution of drug resistance in tuberculosis: recent progress and implications for diagnosis and therapy.

Andrej Trauner, Sonia Borrell, Klaus Reither, Sebastien Gagneux

Abstract readReview
In one paragraph

Review in Drugs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Infection and drug resistance · 2023
    Article
  5. Article
  6. Article
  7. An Epistatic Network DescribesFrontiers in molecular biosciences · 2022
    Article
  8. Article
  9. Cumulative Signaling Through NOD-2 and TLR-4 Eliminates theFrontiers in cellular and infection microbiology · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. What will it take to eliminate drug-resistant tuberculosis?The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
    Article
  14. Machine Learning Predicts AccuratelyFrontiers in genetics · 2019
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Comparative Genome Analysis of 2Evolutionary bioinformatics online · 2018
    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.

Andrej TraunerSwiss Tropical and Public Health Institute, Socinstrasse 57, 4002, Basel, Switzerland.
Sonia Borrell
Klaus Reither
Sebastien 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 AI090928NIAID NIH HHS R01 AI090928
6 · The paper itself

Abstract

Drug-resistant tuberculosis is a growing threat to global public health. Recent efforts to understand the evolution of drug resistance have shown that changes in drug-target interactions are only the first step in a longer adaptive process. The emergence of transmissible drug-resistant Mycobacterium tuberculosis is the result of a multitude of additional genetic mutations, many of which interact, a phenomenon known as epistasis. The varied effects of these epistatic interactions include compensating for the reduction of the biological cost associated with the development of drug resistance, increasing the level of resistance, and possibly accommodating broader changes in the physiology of resistant bacteria. Knowledge of these processes and our ability to detect them as they happen informs the development of diagnostic tools and better control strategies. In particular, the use of whole genome sequencing combined with surveillance efforts in the field could provide a powerful instrument to prevent future epidemics of drug-resistant tuberculosis.

Indexed as

Antitubercular AgentsHumansMycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantAntitubercular Agents

Identifiers

PMID24962424
PMCPMC4078235

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.