ArticleJournal of clinical microbiology2022
Evaluation of MALDI Biotyper Mycobacteria Library for Identification of Nontuberculous Mycobacteria.
Article in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Diagnostic performance of MALDI-TOF MS for non-tuberculous mycobacteria: A systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Pooled it
- Effectiveness of mass spectrometry and genomic analysis in the surveillance of nontuberculousJournal of clinical microbiology · 2026Article
- Protein Extraction From Mycobacterium spp. for Identification by MALDI-TOF Mass Spectrometry.Current protocols · 2026Article
- Pulmonary Infection Caused by Mycolicibacterium neoaurum: The First Documented Case in Morocco.Cureus · 2026Article
- Article
- Nosocomial Mycobacterium lentiflavum colonization and infection cluster at a Japanese tertiary care center: report of an outbreak/pseudo-outbreak investigation.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Evaluation of mlstverse system for accurate subspecies identification and drug resistance prediction inMicrobiology spectrum · 2025Article
- A rapid and simple MALDI-TOF MS lipid profiling method for differentiatingJournal of clinical microbiology · 2025Article
- Colonization or coinfection? A case report ofASM case reports · 2025Article
- Comparison of the molecular FluoroType Mycobacteria VER 1.0 and the Maldi BioTyper Mycobacteria assays for the identification of non-tuberculous mycobacteria.Journal of clinical microbiology · 2025Article
- Comparative evaluation of MALDI-ToF mass spectrometry and Sanger sequencing of theFrontiers in cellular and infection microbiology · 2025Article
- Non-tuberculous mycobacteria and other acid fast bacilli pathogens identification by qPCR and MALDI-ToF MS in tuberculosis-like lesions of slaughtered cattle from Ecuador.Frontiers in veterinary science · 2025Article
- MGIT-seq for the Identification of Nontuberculous Mycobacteria and Drug Resistance: a Prospective Study.Journal of clinical microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Bruker Biotyper matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) platform was assessed on its ability to accurately identify 314 nontuberculous mycobacteria (NTM) representing 73 species. All NTM isolates, representing 183 rapidly growing and 131 slowly growing organisms, were previously identified by Sanger DNA sequencing of the full-length 16S rRNA gene, and region V of the
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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.