Evidence map›Paper›PMID 36538813›Full record

ReviewExpert opinion on drug discovery2023

Advances in the design of combination therapies for the treatment of tuberculosis.

Jonah Larkins-Ford, Bree B Aldridge

Open access · hybridAbstract readReview
In one paragraph

Review in Expert opinion on drug discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Deconvoluting drug interactions usingAntimicrobial agents and chemotherapy · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Strategic re-engineering of antibiotics.Nature reviews bioengineering · 2025
    Article
  14. Review
  15. REVOLUTIONIZING TUBERCULOSIS REGIMEN DEVELOPMENT.Transactions of the American Clinical and Climatological Association · 2025
    Review
  16. Toward better cures forClinical microbiology reviews · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Research in the Field of Drug Design and Development.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
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.

Jonah Larkins-FordDepartment of Molecular Biology and Microbiology and Tufts University School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA.ORCID 0000-0001-9123-9508
Bree B AldridgeDepartment of Molecular Biology and Microbiology and Tufts University School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA.ORCID 0000-0003-2236-1424
Tufts University · US

Funding

MOLECULAR ANALYSIS OF MICROBIAL PATHOGENST32AI007422 · NIAID · TUFTS UNIVERSITY BOSTON · PI Ralph R. Isberg · 1992 to 2026
$5.7M
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 T32 AI007422
6 · The paper itself

Abstract

introductionTuberculosis requires lengthy multi-drug therapy. AREAS COVERED: This review discusses the advances in these methodologies and how they may be used in conjunction with new successful clinical trials of novel drug combinations to design optimized combination therapies for tuberculosis. Literature searches for approaches and experimental models used to evaluate drug combination effects were undertaken. EXPERT OPINION: We are entering an era richer in combination drug effect and pharmacokinetic/pharmacodynamic data, genetic tools, and outcome measurement types. Application of computational modeling approaches that integrate these data and produce predictive models of clinical outcomes may enable the field to generate novel, effective multidrug therapies using existing and new drug combination backbones.

Indexed as

Mycobacterium tuberculosisTuberculosisAntitubercular AgentsCombined Modality TherapyDrug Therapy, CombinationHumansAntitubercular Agentsantibioticscombination therapycomputational modelinginfectious diseasesmultidrug therapyTuberculosis

Identifiers

PMID36538813
PMCPMC9892364
OpenAlexW4313237033

What OpenQuestion holds

Textmetadata
LicenceTDM
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.