ReviewJournal of clinical microbiology2016
Consolidating and Exploring Antibiotic Resistance Gene Data Resources.
Review 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 42 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
42 citing papers in PubMed.
- Alternative therapeutic approaches for combating multi-drug-resistant bacteria: Reverse vaccinology against Enterobacter cloacae.Journal, genetic engineering & biotechnology · 2025Article
- Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.EcoHealth · 2025Review
- Next generation sequencing as a panacea for antibiotic susceptibility testing: yea or nay?Frontiers in public health · 2025Article
- Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes.Briefings in bioinformatics · 2024Article
- Antibiotic perturbations to the gut microbiome.Nature reviews. Microbiology · 2023Review
- Genetic Diversity and Phylogenetic Analysis ofGenes · 2023Article
- Tracking Antibiotic Resistance from the Environment to Human Health.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Genomics and pathotypes of the many faces of Escherichia coli.FEMS microbiology reviews · 2022Article
- Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective.Clinical microbiology reviews · 2022Review
- BacARscan: anBiology methods & protocols · 2022Article
- Metagenomic-based surveillance systems for antibiotic resistance in non-clinical settings.Frontiers in microbiology · 2022Review
- Detection of Antibiotic Resistance Genes inInfection and drug resistance · 2022Article
- Whole genome sequencing and characteristics of extended-spectrum beta-lactamase producingFrontiers in microbiology · 2022Article
- A review of the resistome within the digestive tract of livestock.Journal of animal science and biotechnology · 2021Review
- Metagenomics and Other Omics Approaches to Bacterial Communities and Antimicrobial Resistance Assessment in Aquacultures.Antibiotics (Basel, Switzerland) · 2021Review
- Unearthing Antibiotic Resistance Associated with Disturbance-Induced Permafrost Thaw in Interior Alaska.Microorganisms · 2021Article
- A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing.F1000Research · 2021Article
- Plasmid Identification and Plasmid-Mediated Antimicrobial Gene Detection in Norwegian Isolates.Microorganisms · 2020Article
- Experimental approaches to tracking mobile genetic elements in microbial communities.FEMS microbiology reviews · 2020Review
- Innovative and rapid antimicrobial susceptibility testing systems.Nature reviews. Microbiology · 2020Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The unrestricted use of antibiotics has resulted in rapid acquisition of antibiotic resistance (AR) and spread of multidrug-resistant (MDR) bacterial pathogens. With the advent of next-generation sequencing technologies and their application in understanding MDR pathogen dynamics, it has become imperative to unify AR gene data resources for easy accessibility for researchers. However, due to the absence of a centralized platform for AR gene resources, availability, consistency, and accuracy of information vary considerably across different databases. In this article, we explore existing AR gene data resources in order to make them more visible to the clinical microbiology community, to identify their limitations, and to propose potential solutions.
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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.