ArticleJournal of clinical microbiology2019
Test Agreement among Biochemical Methods, Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry, and 16S rRNA Sequencing for Identification of Microorganisms Isolated from Bovine Milk.
Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Occurrence ofJournal of veterinary research · 2026Article
- Application of MALDI-TOF-MS in the surveillance of microbial diversity in butter production: a case study of Polish dairy.Scientific reports · 2026Article
- Use of MALDI-TOF to identify cryopreserved mastitis pathogens collected from 2003 to 2011 that were originally identified using conventional microbiological methods.JDS communications · 2025Article
- Antibacterial and antibiofilm activities and mechanisms ofCurrent research in food science · 2025Article
- Application of MALDI-TOF MS to Identify and Detect Antimicrobial-ResistantMicroorganisms · 2024Article
- Proteome analysis, genetic characterization, and antibiotic resistance patterns of Klebsiella pneumoniae clinical isolates.AMB Express · 2024Article
- Enterobacter cloacae from urinary tract infections: frequency, protein analysis, and antimicrobial resistance.AMB Express · 2024Article
- Current Data on Oral Peri-Implant and Periodontal Microbiota and Its Pathological Changes: A Systematic Review.Microorganisms · 2022Article
- Diagnosing Intramammary Infection: Meta-Analysis and Mapping Review on Frequency and Udder Health Relevance of Microorganism Species Isolated from Bovine Milk Samples.Animals : an open access journal from MDPI · 2022Review
- Proteomics approaches: A review regarding an importance of proteome analyses in understanding the pathogens and diseases.Frontiers in veterinary science · 2022Review
- Current Status of Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry (MALDI-TOF MS) in Clinical Diagnostic Microbiology.Molecules (Basel, Switzerland) · 2020Review
- RapidFrontiers in veterinary science · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this prospective study was a blinded comparison of three methods for the identification of bacteria isolated on Columbia blood agar from milk samples of dairy cows. Basic biochemical testing, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS), and 16S rRNA partial genome sequence analysis were compared for bacterial identification to the genus or species level. Milk samples submitted from a commercial dairy farm from recently calved cows or clinical mastitis cases were cultured, and 181 isolates were identified by biochemical testing, MALDI-TOF MS, and 16S rRNA sequence analysis (179 isolates; 2 isolates could not be recovered from storage). For
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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.