Trial reportThe New England journal of medicine2018
Bacterial Factors That Predict Relapse after Tuberculosis Therapy.
Trial report in The New England journal of medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00130247 (A Prospective Study of Shortening the Duration of Standard Short Course Chemotherapy From 6 Months to 4 Months in HIV-non-infected Patients With Fully Drug-Susceptible, Non-cavitary Pulmonary Tuberculosis With Negative Sputum Cultures After 2 Months of Anti-TB Treatment), which is not on this map. Cited by 92 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
A Prospective Study of Shortening the Duration of Standard Short Course Chemotherapy From 6 Months to 4 Months in HIV-non-infected Patients With Fully Drug-Susceptible, Non-cavitary Pulmonary Tuberculosis With Negative Sputum Cultures After 2 Months of Anti-TB Treatment
Who cites it
92 citing papers in PubMed, 4 syntheses or guidelines pooled it, 153 citations in OpenAlex.
- Pooled it
- A systematic review and meta-analysis of first-line tuberculosis drug concentrations and treatment outcomes.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2020Pooled it
- Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data.PLoS computational biology · 2019Pooled it
- A Systematic Review on the Effect of HIV Infection on the Pharmacokinetics of First-Line Tuberculosis Drugs.Clinical pharmacokinetics · 2019Pooled it
- Clinical testing of drug treatment shortening in patients with TB using PET/CT imaging of lung lesions.Science translational medicine · 2026Trial
- Trial
- Variation in multiple classes of simple sequence repeats can alter drug susceptibility inbioRxiv : the preprint server for biology · 2026Article
- Genomic insights into low-level rifampicin resistance mediated by borderlineMicrobiology spectrum · 2026Article
- Encoded metabolic remodeling amplifies drug resistance in Mycobacterium tuberculosis.PLoS pathogens · 2026Article
- Strain diversity drives heterogeneous responses to tuberculosis combination therapy.Antimicrobial agents and chemotherapy · 2026Article
- Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.Nature communications · 2026Article
- Distinct mechanisms drive post-antibiotic Tuberculosis relapse post-cure versus post-treatment-failure.bioRxiv : the preprint server for biology · 2026Article
- Wild-type MIC distribution and evaluation of epidemiological cut-offs of second-line TB-drugs in susceptible and MDR-TB clinical isolates from Chennai, India.Frontiers in microbiology · 2026Article
- Transcript-Capture sequencing enriches mRNA ofNAR molecular medicine · 2026Article
- Divergent transcriptional regulation of redox-homeostasis and permeability modulate rifampicin tolerance and sensitivity in Mycobacterium tuberculosis.Nature communications · 2025Article
- Transcript-Capture sequencing enriches mRNA ofbioRxiv : the preprint server for biology · 2025Article
- Strain diversity drives heterogeneous responses to tuberculosis combination therapy.bioRxiv : the preprint server for biology · 2025Article
- Unpacking bedaquiline heteroresistance: the importance of intermediate profiles for phenotypic drug susceptibility testing.Antimicrobial agents and chemotherapy · 2025Article
- Surveillance and analysis of drug resistance and drug resistance levels in multidrug resistant tuberculosis on the tropical islands of China.BMC infectious diseases · 2025Article
- Thioquinazolinones as Antituberculosis Agents Targeting Phosphopantetheinyl Transferase.Journal of medicinal chemistry · 2025Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on byOf MICs and Men.2018
- Commented on by
Authors and funding
18 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundApproximately 5% of patients with drug-susceptible tuberculosis have a relapse after 6 months of first-line therapy, as do approximately 20% of patients after 4 months of short-course therapy. We postulated that by analyzing pretreatment isolates of Mycobacterium tuberculosis obtained from patients who subsequently had a relapse or were cured, we could determine any correlations between the minimum inhibitory concentration (MIC) of a drug below the standard resistance breakpoint and the relapse risk after treatment.
methodsUsing data from the Tuberculosis Trials Consortium Study 22 (development cohort), we assessed relapse and cure isolates to determine the MIC values of isoniazid and rifampin that were below the standard resistance breakpoint (0.1 μg per milliliter for isoniazid and 1.0 μg per milliliter for rifampin). We combined this analysis with clinical, radiologic, and laboratory data to generate predictive relapse models, which we validated by analyzing data from the DMID 01-009 study (validation cohort).
resultsIn the development cohort, the mean (±SD) MIC of isoniazid below the breakpoint was 0.0334±0.0085 μg per milliliter in the relapse group and 0.0286±0.0092 μg per milliliter in the cure group, which represented a higher value in the relapse group by a factor of 1.17 (P=0.02). The corresponding MIC values of rifampin were 0.0695±0.0276 and 0.0453±0.0223 μg per milliliter, respectively, which represented a higher value in the relapse group by a factor of 1.53 (P<0.001). Higher MIC values remained associated with relapse in a multivariable analysis that included other significant between-group differences. In an analysis of receiver-operating-characteristic curves of relapse based on these MIC values, the area under the curve (AUC) was 0.779. In the development cohort, the AUC in a multivariable model that included MIC values was 0.875. In the validation cohort, the MIC values either alone or combined with other patient characteristics were also predictive of relapse, with AUC values of 0.964 and 0.929, respectively. The use of a model score for the MIC values of isoniazid and rifampin to achieve 75.0% sensitivity in cross-validation analysis predicted relapse with a specificity of 76.5% in the development cohort and a sensitivity of 70.0% and a specificity of 100% in the validation cohort.
conclusionsIn pretreatment isolates of M. tuberculosis with decrements of MIC values of isoniazid or rifampin below standard resistance breakpoints, higher MIC values were associated with a greater risk of relapse than lower MIC values. (Funded by the National Institute of Allergy and Infectious Diseases.).
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Registered trials
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.