Evidence map›Paper›PMID 38519618›Full record

ReviewNature reviews. Microbiology2024

Drug-resistant tuberculosis: a persistent global health concern.

Maha Farhat, Helen Cox, Marwan Ghanem, Claudia M Denkinger, Camilla Rodrigues, Mirna S Abd El Aziz, Handaa Enkh-Amgalan, Debrah Vambe, Cesar Ugarte-Gil, Jennifer Furin and 1 more

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 2 pooled it
67.7field-weighted citation impact, top 1% 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

128 citing papers in PubMed, 2 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Mutations inJAC-antimicrobial resistance · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Construction of RecombinantPathogens (Basel, Switzerland) · 2026
    Article
  15. Molecular Mechanisms Underlying Antimicrobial Resistance in Mycobacteria.International journal of molecular sciences · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

68 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

11 authors at 7 institutions in 6 countries.

Maha FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3871-5760
Helen Cox *Institute of Infectious Disease and Molecular Medicine, Wellcome Centre for Infectious Disease Research and Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa.
Marwan Ghanem *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Claudia M DenkingerDivision of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
Camilla RodriguesP.D. Hinduja Hospital and Medical Research Centre, Mumbai, India.
Mirna S Abd El AzizDivision of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
Handaa Enkh-Amgalan, Ulaanbaatar, Mongolia.
Debrah VambeNational TB Control Programme, Manzini, Eswatini.
Cesar Ugarte-GilSchool of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA.
Jennifer FurinDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Madhukar PaiMcGill International TB Centre, McGill University, Montreal, Quebec, Canada. madhukar.pai@mcgill.ca.ORCID http://orcid.org/0000-0003-3667-4536
Harvard University · USHeidelberg University · DEMcGill University Health Centre · CAP. D. Hinduja Hospital and Medical Research Centre · INSouthern Africa Nazarene University · SZThe University of Texas Medical Branch at Galveston · USUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-resistant tuberculosis (TB) is estimated to cause 13% of all antimicrobial resistance-attributable deaths worldwide and is driven by both ongoing resistance acquisition and person-to-person transmission. Poor outcomes are exacerbated by late diagnosis and inadequate access to effective treatment. Advances in rapid molecular testing have recently improved the diagnosis of TB and drug resistance. Next-generation sequencing of Mycobacterium tuberculosis has increased our understanding of genetic resistance mechanisms and can now detect mutations associated with resistance phenotypes. All-oral, shorter drug regimens that can achieve high cure rates of drug-resistant TB within 6-9 months are now available and recommended but have yet to be scaled to global clinical use. Promising regimens for the prevention of drug-resistant TB among high-risk contacts are supported by early clinical trial data but final results are pending. A person-centred approach is crucial in managing drug-resistant TB to reduce the risk of poor treatment outcomes, side effects, stigma and mental health burden associated with the diagnosis. In this Review, we describe current surveillance of drug-resistant TB and the causes, risk factors and determinants of drug resistance as well as the stigma and mental health considerations associated with it. We discuss recent advances in diagnostics and drug-susceptibility testing and outline the progress in developing better treatment and preventive therapies.

Indexed as

Antitubercular AgentsGlobal HealthMycobacterium tuberculosisTuberculosis, Multidrug-ResistantHumansAntitubercular Agents

Identifiers

PMID38519618
OpenAlexW4393082592

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.