ArticleJournal of clinical microbiology2016
Evaluation of MALDI Biotyper Mycobacteria Library v3.0 for Identification of Nontuberculous Mycobacteria.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis 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.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacteria: a systematic review and meta-analysis.Scientific reports · 2018Pooled it
- Effectiveness of mass spectrometry and genomic analysis in the surveillance of nontuberculousJournal of clinical microbiology · 2026Article
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- Performance of direct detection ofMicrobiology spectrum · 2025Article
- MALDI-TOF mass spectrometry from nucleic acid: development and evaluation of a novel platform for identification of mycobacteria and detection of genetic markers of resistance.Microbiology spectrum · 2024Article
- Evaluation of the FluoroType Mycobacteria assay for identification of mycobacteria.Journal of clinical microbiology · 2024Article
- Challenging diagnosis ofJournal of clinical tuberculosis and other mycobacterial diseases · 2023Article
- Improved MALDI-TOF MS Identification ofMicroorganisms · 2023Article
- Identification of Nocardia and non-tuberculous Mycobacterium species by MALDI-TOF MS using the VITEK MS coupled to IVD and RUO databases.Microbial biotechnology · 2023Article
- Evaluation of MALDI Biotyper Mycobacteria Library for Identification of Nontuberculous Mycobacteria.Journal of clinical microbiology · 2022Article
- "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.International journal of molecular sciences · 2022Review
- Article
- Substantial Improvement in Nontuberculous Mycobacterial Identification Using ASTA MicroIDSys Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry with an Upgraded Database.Annals of laboratory medicine · 2022Article
- Multicentre study on the reproducibility of MALDI-TOF MS for nontuberculous mycobacteria identification.Scientific reports · 2022Article
- MALDI-TOF Mass Spectrometry as a Rapid Screening Alternative for Non-tuberculous Mycobacterial Species Identification in the Veterinary Laboratory.Frontiers in veterinary science · 2022Article
- Performance of lipid fingerprint-based MALDI-ToF for the diagnosis of mycobacterial infections.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021Article
- Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS.Frontiers in cellular and infection microbiology · 2021Article
- Article
- Evaluation of MALDI Biotyper Interpretation Criteria for Accurate Identification of Nontuberculous Mycobacteria.Journal of clinical microbiology · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has demonstrated its ability to promptly identify nontuberculous mycobacteria using the Mycobacteria Library v2.0. However, some species are particularly difficult to identify reliably using this database, providing a low log(score). In this study, the identification power of an updated Mycobacteria Library (v3.0) has been evaluated. Overall, 109 NTM isolates were analyzed with both databases. The v3.0 database allowed a high-level confidence in the identification [log(score) value, ≥1.8] of 91.7% of the isolates versus 83.5% with the v2.0 version (P< 0.01).
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