ArticleThe Lancet. Microbe2022
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Article in The Lancet. Microbe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
181 citing papers in PubMed, 2 syntheses or guidelines pooled it, 286 citations in OpenAlex.
- In Host Mutational Adaptation of Mycobacterium Tuberculosis Complex Strains During Tuberculosis Infection.The Journal of infectious diseases · 2026Pooled it
- Opportunities and limitations of genomics for diagnosing bedaquiline-resistant tuberculosis: a systematic review and individual isolate meta-analysis.The Lancet. Microbe · 2024Pooled it
- The structural context of mutations in proteins predicts their effect on antibiotic resistance.eLife · 2026Article
- UShER-TB: scalable, comprehensive, accessible phylogenomic analysis ofMicrobial genomics · 2026Article
- Variation in multiple classes of simple sequence repeats can alter drug susceptibility inbioRxiv : the preprint server for biology · 2026Article
- Population-level genome sequencing reveals distinctmSystems · 2026Article
- Algorithmic Determinants of Performance Heterogeneity in Whole-Genome Sequencing-Based Prediction of Drug Resistance inMicroorganisms · 2026Review
- Current Landscape of Molecular Diagnostic Tests and Emerging Tools for Tuberculosis and Drug Resistance.Diagnostics (Basel, Switzerland) · 2026Review
- Machine learning method for the prediction of Bedaquiline-resistantLife science alliance · 2026Article
- Mycobacteria Amplicon Sequencing Tool: automated resistance prediction and lineage classification forMicrobiology resource announcements · 2026Article
- Future-proofing tuberculosis therapy: framework for concurrent drug and resistance testing development.The Lancet. Infectious diseases · 2026Review
- Improving the Precision of Etiological Diagnosis in Bacterial Infections Using Molecular Technologies: A Comparative Analysis of Platforms, AI Integration, and Point-of-Care Deployment.International journal of molecular sciences · 2026Review
- Uncovering resistance pathways to first- and last-line antibiotics inMicrobial genomics · 2026Article
- Dormancy regulon reduction was pivotal to the evolution of Mycobacterium tuberculosis.Nature communications · 2026Article
- Predicting isoniazid resistance inJournal of clinical microbiology · 2026Article
- Population-level genome sequencing reveals distinct Mycobacterium tuberculosis intrahost mutational trajectories in simian immunodeficiency virus co-infected and antiretroviral treated non-human primates.bioRxiv : the preprint server for biology · 2026Article
- The performance of the WHO mutation catalog ofMicrobiology spectrum · 2026Article
- Whole genome sequencing for Mycobacterium tuberculosis in public health responses: a review of current practice and enablers in select low-incidence jurisdictions.BMC public health · 2026Review
- A tiled amplicon protocol for culture-free whole-genome sequencing ofJournal of clinical microbiology · 2026Article
- Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network.BMC microbiology · 2026Article
121 more citing papers are in PubMed but not listed here.
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Authors and funding
26 authors at 20 institutions in 18 countries.
Funding
Abstract
Background: Molecular diagnostics are considered the most promising route to achieving rapid, universal drug susceptibility testing for Methods: A candidate gene approach was used to identify mutations as associated with resistance, or consistent with susceptibility, for 13 WHO endorsed anti-tuberculosis drugs. 38,215 MTBC isolates with paired whole-genome sequencing and phenotypic drug susceptibility testing data were amassed from 45 countries. For each mutation, a contingency table of binary phenotypes and presence or absence of the mutation computed positive predictive value, and Fisher's exact tests generated odds ratios and Benjamini-Hochberg corrected p-values. Mutations were graded as Associated with Resistance if present in at least 5 isolates, if the odds ratio was >1 with a statistically significant corrected p-value, and if the lower bound of the 95% confidence interval on the positive predictive value for phenotypic resistance was >25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: 15,667 associations were computed for 13,211 unique mutations linked to one or more drugs. 1,149/15,667 (7·3%) mutations were classified as associated with phenotypic resistance and 107/15,667 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was >80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were classified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: This first WHO endorsed catalogue of molecular targets for MTBC drug susceptibility testing provides a global standard for resistance interpretation. Its existence should encourage the implementation of molecular diagnostics by National Tuberculosis Programmes. Funding: UNITAID, Wellcome, MRC, BMGF.
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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.