ArticleJournal of clinical microbiology2016
Next-Generation Epidemiology: Using Real-Time Core Genome Multilocus Sequence Typing To Support Infection Control Policy.
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 17 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
17 citing papers in PubMed.
- Species identification and genotyping ofMicrobiology spectrum · 2026Article
- Article
- Regional distribution of carbapenemase-producing Acinetobacter baumannii isolates in southern Spain (Andalusia).European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Article
- Uncovering the spread of drug-resistant bacteria through next-generation sequencing based surveillance: transmission of extended-spectrum β-lactamase-producing Enterobacterales by a contaminated duodenoscope.Antimicrobial resistance and infection control · 2024Article
- Molecular epidemiology and antimicrobial resistance patterns of carbapenem-resistantFrontiers in cellular and infection microbiology · 2023Article
- Role of Efflux in Antibiotic Resistance ofFrontiers in microbiology · 2022Article
- Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity ofDiagnostics (Basel, Switzerland) · 2021Article
- Reducing the Risk of Transmission of Critical Antimicrobial Resistance Determinants From Contaminated Pork Products to Humans in South-East Asia.Frontiers in microbiology · 2021Review
- Article
- Assessing the genomic relatedness and evolutionary rates of persistent verotoxigenicMicrobial genomics · 2020Article
- Comparison of core-genome MLST, coreSNP and PFGE methods forMicrobial genomics · 2020Article
- Molecular Epidemiology ofInfection and drug resistance · 2020Article
- Genomic epidemiology of multidrug-resistant Gram-negative organisms.Annals of the New York Academy of Sciences · 2019Review
- Shared genome analyses of notable listeriosis outbreaks, highlighting the critical importance of epidemiological evidence, input datasets and interpretation criteria.Microbial genomics · 2019Article
- MentaLiST - A fast MLST caller for large MLST schemes.Microbial genomics · 2018Article
- Drug repurposing screens and synergistic drug-combinations for infectious diseases.British journal of pharmacology · 2018Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Multidrug-resistant bacteria are responsible for substantial morbidity and mortality worldwide. Tracking the nosocomial spread of resistant bacteria is critical to infection control. Mellmann et al. (J. Clin. Microbiol. 54:2874-2881, 2016, http://dx.doi.org/10.1128/JCM.00790-16) have described prospective whole-genome sequencing with core genome multilocus sequencing typing (cgMLST) analysis for real-time surveillance and have addressed the practical aspects of implementing this type of operation in the hospital setting.
Indexed as
Identifiers
What OpenQuestion holds
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.