Evidence map›Paper›PMID 29877726›Full record

ArticleAmerican journal of respiratory and critical care medicine2018

Drug-Penetration Gradients Associated with Acquired Drug Resistance in Patients with Tuberculosis.

Keertan Dheda, Laura Lenders, Gesham Magombedze, Shashikant Srivastava, Prithvi Raj, Erland Arning, Paula Ashcraft, Teodoro Bottiglieri, Helen Wainwright, Timothy Pennel and 9 more

Open access · greenAbstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 2 pooled it
11.0field-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

101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 161 citations in OpenAlex.

  1. Pooled it
  2. d-Cycloserine Pharmacokinetics/Pharmacodynamics, Susceptibility, and Dosing Implications in Multidrug-resistant Tuberculosis: A Faustian Deal.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Pooled it
  3. MakingCell insight · 2026
    Review
  4. Novel regimens for treatment ofbioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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  12. Mycobacteria susceptibility to epetraborole: how far can it go?The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Article
  13. Article
  14. Tigecycline pharmacodynamics in the hollow fiber system ofbioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Methods and Models for StudyingInternational journal of molecular sciences · 2024
    Review
  19. Toward better cures forClinical microbiology reviews · 2024
    Review
  20. Examining effective monotherapy hypothesis for TB therapy failure and resistance emergence.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2024
    Article

41 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

19 authors at 5 institutions in 3 countries.

Keertan Dheda1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine.
Laura Lenders1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine.
Gesham Magombedze3 Center for Infectious Diseases Research and Experimental Therapeutics and.
Shashikant Srivastava3 Center for Infectious Diseases Research and Experimental Therapeutics and.
Prithvi Raj4 Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas.
Erland Arning5 Institute of Metabolic Disease, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Paula Ashcraft5 Institute of Metabolic Disease, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Teodoro Bottiglieri5 Institute of Metabolic Disease, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Helen Wainwright6 Department of Pathology and.
Timothy Pennel7 Chris Barnard Division of Cardiothoracic Surgery, Department of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Anthony Linegar7 Chris Barnard Division of Cardiothoracic Surgery, Department of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Loven Moodley7 Chris Barnard Division of Cardiothoracic Surgery, Department of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Anil Pooran1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine.
Jotam G Pasipanodya3 Center for Infectious Diseases Research and Experimental Therapeutics and.
Frederick A Sirgel8 Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research/Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa.
Paul D van Helden8 Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research/Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa.
Edward Wakeland4 Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas.
Robin M Warren8 Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research/Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa.
Tawanda Gumbo1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine.ORCID 0000-0001-7592-8012
University of Cape Town · ZABaylor University Medical Center · USNational Center for Infectious Diseases · USSouth African Medical Research Council · ZAThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAcquired resistance is an important driver of multidrug-resistant tuberculosis (TB), even with good treatment adherence. However, exactly what initiates the resistance and how it arises remain poorly understood.

objectivesTo identify the relationship between drug concentrations and drug susceptibility readouts (minimum inhibitory concentrations [MICs]) in the TB cavity.

methodsWe recruited patients with medically incurable TB who were undergoing therapeutic lung resection while on treatment with a cocktail of second-line anti-TB drugs. On the day of surgery, antibiotic concentrations were measured in the blood and at seven prespecified biopsy sites within each cavity. Mycobacterium tuberculosis was grown from each biopsy site, MICs of each drug identified, and whole-genome sequencing performed. Spearman correlation coefficients between drug concentration and MIC were calculated. MEASUREMENTS AND MAIN

resultsFourteen patients treated for a median of 13 months (range, 5-31 mo) were recruited. MICs and drug resistance-associated single-nucleotide variants differed between the different geospatial locations within each cavity, and with pretreatment and serial sputum isolates, consistent with ongoing acquisition of resistance. However, pretreatment sputum MIC had an accuracy of only 49.48% in predicting cavitary MICs. There were large concentration-distance gradients for each antibiotic. The location-specific concentrations inversely correlated with MICs (P < 0.05) and therefore acquired resistance. Moreover, pharmacokinetic/pharmacodynamic exposures known to amplify drug-resistant subpopulations were encountered in all positions.

conclusionsThese data inform interventional strategies relevant to drug delivery, dosing, and diagnostics to prevent the development of acquired resistance. The role of high intracavitary penetration as a biomarker of antibiotic efficacy, when assessing new regimens, requires clarification.

Indexed as

AdolescentAdultAntitubercular AgentsBiopsyDose-Response Relationship, DrugDrug Therapy, CombinationFemaleHumansLungMaleMicrobial Sensitivity TestsMiddle AgedProspective StudiesTuberculosis, Multidrug-ResistantYoung AdultAntitubercular Agentsacquired drug resistancedrug gradientlung cavitysputum MICwhole-genome sequencing

Identifiers

PMID29877726
PMCPMC6221573
OpenAlexW2899464379

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.