ArticleMicrobiology spectrum2024
Comparison of targeted next-generation sequencing and the Xpert MTB/RIF assay for detection of
Abstract readComparative Study
In one paragraph
Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21citing papers in PubMed
–field-weighted citation impact
What it found
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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.
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Who cites it
21 citing papers in PubMed.
- A mitochondrial DNA metabarcoding system based on tNGS enables multiplex identification of vertebrate species in samples containing degraded and mixed DNA.International journal of legal medicine · 2026Article
- Epidemiology and factors associated with Talaromyces marneffei detection in the mainland of China, 2022-2024: a cross-sectional study of hospitalized patients.BMC public health · 2026Article
- Rapid drug susceptibility testing of Mycobacterium tuberculosis against first-line drugs simultaneously all-in-one plate by using a novel high-sensitive reporter phage combined with the BACTEC MGIT 960 system.Infectious diseases of poverty · 2026Article
- Drug-Resistant Tuberculous Spondylitis Treated with Bedaquiline-Containing Regimens in South Korea: Two Case Reports.Antibiotics (Basel, Switzerland) · 2026Article
- Comparison of the diagnostic value of targeted next-generation sequencing, metagenomic next-generation sequencing, and Xpert MTB/RIF in adult pulmonary tuberculosis.BMC infectious diseases · 2026Article
- Comparison of Xpert MTB/RIF Assay and the Targeted Next-Generation Sequencing for the Diagnosis of Pleural Tuberculosis: A Prospective Comparative Diagnostic Accuracy Study.Infection and drug resistance · 2026Article
- Clinical application of chest CT image screening combined with nanopore targeted sequencing in improving the diagnosis rate of pulmonary tuberculosis patients.Frontiers in public health · 2026Observational
- Rapid Molecular Diagnostics of Tuberculosis: What Do We Have, What Do We Need?Pulmonary medicine · 2026Review
- Analysis of the diagnostic efficacy of targeted next-generation sequencing for tuberculosis in patients with HIV.Frontiers in cellular and infection microbiology · 2026Article
- Peripheral blood neutrophil proteomic profiling with transcriptomic data integration reveals biomarkers for tuberculosis infection diagnosis.EBioMedicine · 2025Article
- Nanopore-based targeted sequencing (NTS) for drug-resistant tuberculosis: an integrated tool for personalized treatment strategies and guidance for new drug development.BMC infectious diseases · 2025Article
- Targeted next-generation sequencing: a promising approach forMicrobiology spectrum · 2025Article
- Diagnostic performance of Xpert MTB/RIF in lymph node tuberculosis in a general hospital.Journal of thoracic disease · 2025Article
- Targeted next-generation sequencing - a promising approach in the diagnosis of Mycobacterium tuberculosis and drug resistance.Infection · 2025Article
- Diffuse lymphadenopathy with significantly elevated standardized uptake values on positron emission tomography-computed tomography: a case description of lymph node tuberculosis without lung lesions.Quantitative imaging in medicine and surgery · 2025Article
- Diagnosis of nontuberculous mycobacterial infections using genomics and artificial intelligence-machine learning approaches: scope, progress and challenges.Frontiers in microbiology · 2025Review
- Recent Advances in Understanding the Clinical Implications of Heterogeneous Drug Resistance inInfection and drug resistance · 2025Review
- Screening and targeted sequencing of stool for microbiologic confirmation and drug resistance determination in paucibacillary tuberculosis.PLOS global public health · 2025Article
- Evaluation of targeted next-generation sequencing for microbiological diagnosis of acute lower respiratory infection.Frontiers in microbiology · 2025Article
- Pulmonary Tuberculosis Diagnosis Using an Intelligent Microscopy Scanner and Image Recognition Model for Improved Acid-Fast Bacilli Detection in Smears.Microorganisms · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Hongtai Zhang *Beijing Center for Disease Prevention and Control, Beijing, China.ORCID 0000-0001-9308-5872
Xiaowei Dai *Beijing Center for Disease Prevention and Control, Beijing, China.
Peilei HuHunan Chest Hospital, Changsha, Hunan Province, China.
Lili TianBeijing Center for Disease Prevention and Control, Beijing, China.
Chuanyou LiBeijing Center for Disease Prevention and Control, Beijing, China.
Beichuan DingBeijing Center for Disease Prevention and Control, Beijing, China.
Xinyu YangBeijing Center for Disease Prevention and Control, Beijing, China.ORCID 0009-0007-3844-9830
Xiaoxin HeBeijing Center for Disease Prevention and Control, Beijing, China.ORCID 0009-0005-3590-0302
Funding
| Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) 7242078Research and Cultivation Special Project of Beijing Center for Disease Prevention and Control BJCDC/2023-KYJH-06the Capital's Funds for the health improvement and Research 2024-2G-3017the Capital's Funds for the Health improvement and Research 2022-1G-3012the Fund of Hunan Provincial Health Commission 202111001302
Abstract
Targeted next-generation sequencing (tNGS) can be used to perform
Indexed as
High-Throughput Nucleotide SequencingMycobacterium tuberculosisRifampinSputumTuberculosis, PulmonaryAdultBacterial ProteinsDNA, BacterialDNA-Directed RNA PolymerasesDrug Resistance, BacterialFemaleHumansMaleMicrobial Sensitivity TestsMolecular Diagnostic TechniquesMutationBacterial ProteinsDNA, BacterialDNA-Directed RNA PolymerasesRifampinrpoB protein, Mycobacterium tuberculosisMycobacterium tuberculosistargeted next-generation sequencingtuberculosisXpert MTB/RIF
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Registered trials
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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.