Evidence map›Paper›PMID 31560376›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Integrating Pharmacokinetics and Pharmacodynamics in Operational Research to End Tuberculosis.

Jan-Willem C Alffenaar, Tawanda Gumbo, Kelly E Dooley, Charles A Peloquin, Helen Mcilleron, Andre Zagorski, Daniela M Cirillo, Scott K Heysell, Denise Rossato Silva, Giovanni Battista Migliori

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Within-host evolution of drug tolerance inJAC-antimicrobial resistance · 2026
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Review
  16. Therapeutic drug monitoring in tuberculosis.European journal of clinical pharmacology · 2024
    Review
  17. Review
  18. Observational
  19. Review
  20. Standards for clinical trials for treating TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    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

10 authors.

Jan-Willem C AlffenaarUniversity of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.
Tawanda GumboCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
Kelly E DooleyDivision of Clinical Pharmacology, Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Charles A PeloquinInfectious Disease Pharmacokinetics Laboratory, University of Florida College of Pharmacy, Gainesville, Florida, USA.
Helen McilleronDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Andre ZagorskiManagement Sciences for Health, Arlington, Virginia, USA.
Daniela M CirilloEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy.
Scott K HeysellUniversity of Virginia, Division of Infectious Diseases and International Health, Charlottesville, Virginia, USA.
Denise Rossato SilvaFaculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Giovanni Battista MiglioriServizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy.

Funding

Individualized approaches to the HIV/TB epidemic among polysubstance users in IrkutskR01DA044137 · NIDA · UNIVERSITY OF VIRGINIA · PI HEYSELL, SCOTT K · 2017 to 2019
$600k
NIDA NIH HHS R01 DA044137
6 · The paper itself

Abstract

Tuberculosis (TB) elimination requires innovative approaches. The new Global Tuberculosis Network (GTN) aims to conduct research on key unmet therapeutic and diagnostic needs in the field of TB elimination using multidisciplinary, multisectorial approaches. The TB Pharmacology section within the new GTN aims to detect and study the current knowledge gaps, test potential solutions using human pharmacokinetics informed through preclinical infection systems, and return those findings to the bedside. Moreover, this approach would allow prospective identification and validation of optimal shorter therapeutic durations with new regimens. Optimized treatment using available and repurposed drugs may have an increased impact when prioritizing a person-centered approach and acknowledge the importance of age, gender, comorbidities, and both social and programmatic environments. In this viewpoint article, we present an in-depth discussion on how TB pharmacology and the related strategies will contribute to TB elimination.

Indexed as

Operations ResearchTuberculosisAntitubercular AgentsHumansProspective StudiesAntitubercular Agentsdrug resistancepharmacodynamicspharmacokineticstherapeutic drug monitoringtuberculosis

Identifiers

PMID31560376
PMCPMC7146003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.