ArticleJournal of clinical microbiology2019
Predicting Antimicrobial Resistance and Associated Genomic Features from Whole-Genome Sequencing.
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.
- Phenotype-Genotype Discordance in Antimicrobial Resistance ofPathogens (Basel, Switzerland) · 2026Review
- Antimicrobial resistance ofApplied and environmental microbiology · 2025Article
- Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights.Frontiers in microbiology · 2025Review
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Advantages of Whole Genome Sequencing in Mitigating theMicroorganisms · 2023Article
- Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection.Microorganisms · 2022Review
- Aftermath of COVID-19 and Critical Care in India.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021Article
- Resistance determinants and their genetic context in enterobacteria from a longitudinal study of pigs reared under various husbandry conditions.Applied and environmental microbiology · 2021Article
- Digital Insights Into Nucleotide Metabolism and Antibiotic Treatment Failure.Frontiers in digital health · 2021Article
- Whole-genome sequencing as part of national and international surveillance programmes for antimicrobial resistance: a roadmap.BMJ global health · 2020Review
- Hindsight Is 2019-the Year in Clinical Microbiology.Clinical microbiology newsletter · 2020Article
- High-Quality Genome-Scale Models From Error-Prone, Long-Read Assemblies.Frontiers in microbiology · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Thanks to the genomics revolution, thousands of strain-specific whole-genome sequences are now accessible for a wide range of pathogenic bacteria. This availability enables big data informatics approaches to be used to study the spread and acquisition of antimicrobial resistance (AMR). In this issue of the
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.