ArticlePloS one2017
MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04208789 (Artificial Neural Network as Diagnostic Tools For Rifampicin-Resistant Tuberculosis In Indonesia), which is not on this map. Cited by 24 papers.
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.
Artificial Neural Network as Diagnostic Tools For Rifampicin-Resistant Tuberculosis In Indonesia: A Predictive Model Study and Economic Evaluation
Who cites it
24 citing papers in PubMed, 44 citations in OpenAlex.
- Trial
- Characteristics of Primary and acquired multidrug-resistant tuberculosis patients in West Java, Indonesia.IJID regions · 2026Article
- Multidrug resistant tuberculosis (MDR-TB) in Eritrea: a retrospective cohort analysis of mortality and associated factors (2013 - 2023).Frontiers in cellular and infection microbiology · 2026Article
- Article
- Effectiveness and Acceptability of Video-Observed Therapy for Tuberculosis Treatment Monitoring: A Scoping Review.Iranian journal of public health · 2025Review
- Burden of tuberculosis in Eastern Africa region from 1990-2021: A systematic analysis for the Global Burden of Disease 2021 Study.PloS one · 2025Article
- An Exploratory Review of the Potential of Lytic Proteins and Bacteriophages for the Treatment of Tuberculosis.Microorganisms · 2024Review
- Whole genome sequencing-based drug resistance predictions of multidrug-resistantJAC-antimicrobial resistance · 2022Article
- Autologous Cytokine-Induced Killer Cell Immunotherapy Enhances Chemotherapy Efficacy against Multidrug-Resistant Tuberculosis.Journal of immunology research · 2022Article
- Treatment outcomes of patients with MDR-TB and its determinants at referral hospitals in Ethiopia.PloS one · 2022Article
- Recent Progress and Challenges for Drug-Resistant Tuberculosis Treatment.Pharmaceutics · 2021Review
- The epidemiologic impact and cost-effectiveness of new tuberculosis vaccines on multidrug-resistant tuberculosis in India and China.BMC medicine · 2021Article
- ESAT-6 and Ag85A Synthetic Peptides as Candidates for an Immunodiagnostic Test in Children with a Clinical Suspicion of Tuberculosis.Disease markers · 2021Article
- Article
- Khat Chewing and Clinical Conditions Determine the Epidemiology of Primary Drug Resistance Tuberculosis in Amhara Region of Ethiopia: A Multicenter Study.Infection and drug resistance · 2021Article
- Application of KTH-integrated nursing model in care of patients with multi-drug resistant tuberculosis.American journal of translational research · 2021Article
- Distribution of Antibiotic Resistance Genes in Three Different Natural Water Bodies-A Lake, River and Sea.International journal of environmental research and public health · 2020Article
- The Role of HMGB1, a Nuclear Damage-Associated Molecular Pattern Molecule, in the Pathogenesis of Lung Diseases.Antioxidants & redox signaling · 2019Review
- Multidrug-resistant Disseminated Tuberculosis Related to Infliximab in a Patient with Ulcerative Colitis and Negative Evaluation for Latent Tuberculosis.The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundIn 2013, approximately 480,000 people developed active multidrug-resistant tuberculosis (MDR-TB), while only 97,000 started MDR-TB treatment. We sought to estimate the impact of improving access to MDR-TB diagnosis and treatment, under multiple diagnostic algorithm and treatment regimen scenarios, on ten-year projections of MDR-TB incidence and mortality.
methodsWe constructed a dynamic transmission model of an MDR-TB epidemic in an illustrative East/Southeast Asian setting. Using approximate Bayesian computation, we investigated a wide array of potential epidemic trajectories consistent with current notification data and known TB epidemiology.
resultsDespite an overall projected decline in TB incidence, data-consistent simulations suggested that MDR-TB incidence is likely to rise between 2015 and 2025 under continued 2013 treatment practices, although with considerable uncertainty (median 17% increase, 95% Uncertainty Range [UR] -38% to +137%). But if, by 2017, all identified active TB patients with previously-treated TB could be tested for drug susceptibility, and 85% of those with MDR-TB could initiate MDR-appropriate treatment, then MDR-TB incidence in 2025 could be reduced by 26% (95% UR 4-52%) relative to projections under continued current practice. Also expanding this drug-susceptibility testing and appropriate MDR-TB treatment to treatment-naïve as well as previously-treated TB cases, by 2020, could reduce MDR-TB incidence in 2025 by 29% (95% UR 6-55%) compared to continued current practice. If this diagnosis and treatment of all MDR-TB in known active TB cases by 2020 could be implemented via a novel second-line regimen with similar effectiveness and tolerability as current first-line therapy, a 54% (95% UR 20-74%) reduction in MDR-TB incidence compared to current-practice projections could be achieved by 2025.
conclusionsExpansion of diagnosis and treatment of MDR-TB, even using current sub-optimal second-line regimens, is expected to significantly decrease MDR-TB incidence at the population level. Focusing MDR diagnostic efforts on previously-treated cases is an efficient first-step approach.
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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.