Evidence map›Paper›PMID 35478222›Full record

ReviewNature reviews. Microbiology2022

Anti-tuberculosis treatment strategies and drug development: challenges and priorities.

Véronique A Dartois, Eric J Rubin

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing papers in PubMed, 2 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

230 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. What is new in tuberculosis?Clinical medicine (London, England) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. AssessingbioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review

170 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

2 authors.

Véronique A DartoisCenter for Discovery and Innovation, and Hackensack Meridian School of Medicine, Department of Medical Sciences, Hackensack Meridian Health, Nutley, NJ, USA. veronique.dartois@hmh-cdi.org.ORCID 0000-0001-9470-5009
Eric J RubinHarvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA.ORCID 0000-0001-5120-962X

Funding

UIC: In vitro In vivo Mtb PharmacologyU19AI142735 · NIAID · GLOBAL ALLIANCE FOR TB DRUG DEVELOPMENT · PI FRANZBLAU, SCOTT G. · 2019 to 2023
$28.5M
Lesion-centric optimization of multidrug therapies for tuberculosisR01AI150684 · NIAID · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY, KIRSCHNER, DENISE E · 2020 to 2024
$4.2M
NIAID NIH HHS R01 AI150684NIAID NIH HHS U19 AI142735
6 · The paper itself

Abstract

Despite two decades of intensified research to understand and cure tuberculosis disease, biological uncertainties remain and hamper progress. However, owing to collaborative initiatives including academia, the pharmaceutical industry and non-for-profit organizations, the drug candidate pipeline is promising. This exceptional success comes with the inherent challenge of prioritizing multidrug regimens for clinical trials and revamping trial designs to accelerate regimen development and capitalize on drug discovery breakthroughs. Most wanted are markers of progression from latent infection to active pulmonary disease, markers of drug response and predictors of relapse, in vitro tools to uncover synergies that translate clinically and animal models to reliably assess the treatment shortening potential of new regimens. In this Review, we highlight the benefits and challenges of 'one-size-fits-all' regimens and treatment duration versus individualized therapy based on disease severity and host and pathogen characteristics, considering scientific and operational perspectives.

Indexed as

Mycobacterium tuberculosisTuberculosisAnimalsAntitubercular AgentsDrug DiscoveryDrug IndustryAntitubercular Agents

Identifiers

PMID35478222
PMCPMC9045034

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.