Evidence map›Paper›PMID 23531393›Full record

ReviewThe Lancet. Infectious diseases2013

Alignment of new tuberculosis drug regimens and drug susceptibility testing: a framework for action.

William A Wells, Catharina C Boehme, Frank G J Cobelens, Colleen Daniels, David Dowdy, Elizabeth Gardiner, Jan Gheuens, Peter Kim, Michael E Kimerling, Barry Kreiswirth and 8 more

Abstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Use of Porphyrin Precursors as a Novel Approach for Detection ofInternational journal of molecular sciences · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Use of Whole-Genome Sequencing to PredictMicrobiology spectrum · 2022
    Article
  8. Article
  9. Clinical Impact of Rapid Drug Susceptibility Testing to Accompany Fluoroquinolone-Containing Universal Tuberculosis Regimens: A Markov Model.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Prothionamide susceptibility testing of Mycobacterium tuberculosis using the resazurin microtitre assay and the BACTECMGIT 960 system.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Article
  16. Rolling Out XpertAfrican journal of laboratory medicine · 2017
    Article
  17. Article
  18. Whole genome sequencing to complement tuberculosis drug resistance surveys in Uganda.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    Article
  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

18 authors.

William A WellsGlobal Alliance for TB Drug Development, New York, NY, USA.
Catharina C Boehme
Frank G J Cobelens
Colleen Daniels
David Dowdy
Elizabeth Gardiner
Jan Gheuens
Peter Kim
Michael E Kimerling
Barry Kreiswirth
Christian Lienhardt
Khisi Mdluli
Madhukar Pai
Mark D Perkins
Trevor Peter
Matteo Zignol
Alimuddin Zumla
Marco Schito

Funding

A User-Friendly Epidemic-Economic Model of Diagnostic Tests for TuberculosisR21AI101152 · NIAID · JOHNS HOPKINS UNIVERSITY · PI DOWDY, DAVID WESLEY · 2012 to 2013
$433k
Intramural NIH HHS Z99 AI999999NIAID NIH HHS HHSN272200800014CNIAID NIH HHS R21 AI101152
6 · The paper itself

Abstract

New tuberculosis drug regimens are creating new priorities for drug susceptibility testing (DST) and surveillance. To minimise turnaround time, rapid DST will need to be prioritised, but developers of these assays will need better data about the molecular mechanisms of resistance. Efforts are underway to link mutations with drug resistance and to develop strain collections to enable assessment of new diagnostic assays. In resource-limited settings, DST might not be appropriate for all patients with tuberculosis. Surveillance data and modelling will help country stakeholders to design appropriate DST algorithms and to decide whether to change drug regimens. Finally, development of practical DST assays is needed so that, in countries where surveillance and modelling show that DST is advisable, these assays can be used to guide clinical decisions for individual patients. If combined judiciously during both development and implementation, new tuberculosis regimens and new DST assays have enormous potential to improve patient outcomes and reduce the burden of disease.

Indexed as

Microbial Sensitivity TestsAlgorithmsAntitubercular AgentsDatabases, FactualDrug Resistance, Multiple, BacterialHumansMycobacterium tuberculosisPopulation SurveillanceTuberculosisTuberculosis, Multidrug-ResistantAntitubercular Agents

Identifiers

PMID23531393
PMCPMC4012744

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.