Evidence map›Paper›PMID 16801446›Full record

ArticleAntimicrobial agents and chemotherapy2006

Intrinsic macrolide resistance of the Mycobacterium tuberculosis complex is inducible.

Nadya Andini, Kevin A Nash

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Treatment of Drug-Resistant Tuberculosis. An Official ATS/CDC/ERS/IDSA Clinical Practice Guideline.American journal of respiratory and critical care medicine · 2019
    Guideline
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cure of tuberculosis using nanotechnology: An overview.Journal of microbiology (Seoul, Korea) · 2018
    Review
  12. Molecular Targets Related Drug Resistance Mechanisms in MDR-, XDR-, and TDR-Frontiers in cellular and infection microbiology · 2018
    Review
  13. Review
  14. Review
  15. Drug Resistance Mechanisms in Mycobacterium tuberculosis.Antibiotics (Basel, Switzerland) · 2014
    Review
  16. Review
  17. Molecular biology of drug resistance in Mycobacterium tuberculosis.Current topics in microbiology and immunology · 2013
    Review
  18. Review
  19. Review
  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 at 1 institution in 1 country.

Nadya AndiniDepartment of Pathology and Laboratory Medicine, Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
Kevin A Nash
Children's Hospital of Los Angeles · US

Funding

Mechanisms of Macrolide Resistance in MycobacteriaR01AI052291 · NIAID · CHILDREN'S HOSPITAL OF LOS ANGELES · PI NASH, KEVIN A · 2003 to 2010
$1.4M
NIAID NIH HHS R01 AI052291NIAID NIH HHS R01-AI052291
6 · The paper itself

Abstract

Mycobacterium tuberculosis is intrinsically resistant to macrolides, a characteristic associated with expression of the erm(37) gene. This intrinsic resistance was found to be inducible with clarithromycin and the ketolide HMR3004. Furthermore, underlying the phenotypic induction was an increase in erm(37) mRNA levels.

Indexed as

Drug Resistance, BacterialGene Expression Regulation, BacterialAnti-Bacterial AgentsBacterial ProteinsClarithromycinHumansKetolidesMacrolidesMethyltransferasesMycobacterium tuberculosisAnti-Bacterial AgentsBacterial ProteinsClarithromycinKetolidesMacrolidesMethyltransferases

Identifiers

PMID16801446
PMCPMC1489773
OpenAlexW2129589917

What OpenQuestion holds

Textmetadata
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.