SynthesisThorax2016
What are the most efficacious treatment regimens for isoniazid-resistant tuberculosis? A systematic review and network meta-analysis.
Synthesis in Thorax, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Effectiveness and safety of Levofloxacin containing regimen in the treatment of Isoniazid mono-resistant pulmonary Tuberculosis: a systematic review.Frontiers in medicine · 2023Pooled it
- Whole-genome sequencing reveals lineage-associated drug resistance and enables machine learning-based prediction inFrontiers in microbiology · 2026Article
- TBSure: an ESGMYC survey of pediatric TB management practices in high-income countries.Frontiers in public health · 2026Article
- Contribution of direct InhA inhibitors to novel drug regimens in a mouse model of tuberculosis.Antimicrobial agents and chemotherapy · 2024Article
- Comparative effectiveness of interventions for preventing tuberculosis: systematic review and network meta-analysis of interventional studies.EClinicalMedicine · 2023Article
- Evaluation of Anyplex™ II MTB/MDR kit's performance to rapidly detect isoniazid and rifampicin resistant Mycobacterium tuberculosis from various clinical specimens.Molecular biology reports · 2020Article
- Treatment of Isoniazid-Resistant Pulmonary Tuberculosis.Tuberculosis and respiratory diseases · 2020Review
- Fluoroquinolones and isoniazid-resistant tuberculosis: implications for the 2018 WHO guidance.The European respiratory journal · 2019Article
- Diagnostic Delays and Treatment Implications for Patients with Isoniazid-Resistant Tuberculosis: A Case Report and Review of the Literature.Open forum infectious diseases · 2019Article
- Synthesis and biological evaluation of novel cYY analogues targeting Mycobacterium tuberculosis CYP121A1.Bioorganic & medicinal chemistry · 2019Article
- Isoniazid (INH) mono-resistance and tuberculosis (TB) treatment success: analysis of European surveillance data, 2002 to 2014.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019Observational
- Isoniazid Monoresistance and Rate of Culture Conversion among Patients in the State of Georgia with Confirmed Tuberculosis, 2009-2014.Annals of the American Thoracic Society · 2018Article
- Low Frequency of Acquired Isoniazid and Rifampicin Resistance in Rifampicin-Susceptible Pulmonary Tuberculosis in a Setting of High HIV-1 Infection and Tuberculosis Coprevalence.The Journal of infectious diseases · 2017Article
- Isoniazid-monoresistant tuberculosis is associated with poor treatment outcomes in Durban, South Africa.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017Article
- Isoniazid-resistant tuberculosis: a cause for concern?The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017Review
- Animal Models for Tuberculosis in Translational and Precision Medicine.Frontiers in microbiology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 8 institutions in 5 countries.
Funding
Abstract
introductionConsensus on the best treatment regimens for patients with isoniazid-resistant TB is limited; global treatment guidelines differ. We undertook a systematic review and meta-analysis using mixed-treatment comparisons methodology to provide an up-to-date summary of randomised controlled trials (RCTs) and relative regimen efficacy.
methodsOvid MEDLINE, the Web of Science and EMBASE were mined using search terms for TB, drug therapy and RCTs. Extracted data were inputted into fixed-effects and random-effects models. ORs for all possible network comparisons and hierarchical rankings for different regimens were obtained.
results12 604 records were retrieved and 118 remained postextraction, representing 59 studies-27 standalone and 32 with multiple papers. In comparison to a baseline category that included the WHO-recommended regimen for countries with high levels of isoniazid resistance (rifampicin-containing regimens using fewer than three effective drugs at 4 months, in which rifampicin was protected by another effective drug at 6 months, and rifampicin was taken for 6 months), extending the duration of rifampicin and increasing the number of effective drugs at 4 months lowered the odds of unfavourable outcomes (treatment failure or the lack of microbiological cure; relapse post-treatment; death due to TB) in a fixed-effects model (OR 0.31 (95% credible interval 0.12-0.81)). In a random-effects model all estimates crossed the null.
conclusionsOur systematic review and network meta-analysis highlight a regimen category that may be more efficacious than the WHO population level recommendation, and identify knowledge gaps where data are sparse. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42014015025.
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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.