ArticleNature communications2024
Detection of hidden antibiotic resistance through real-time genomics.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Reimagining antimicrobial resistance: AI-driven predictive epidemiology and the C-AMRE framework for next-generation antibiotic discovery.The Journal of antibiotics · 2026Review
- Bacterial screening of platelet donations in England, 2014-2023.Vox sanguinis · 2026Article
- [Advances in the diagnosis and treatment of patients with multidrug-resistant bacterial infections combined with severe liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026Review
- Integrating machine learning and artificial intelligence in the management of Acinetobacter infections: a narrative review.Infection · 2026Review
- Rapid identification of microbial pathogens and antimicrobial resistance from bloodstream infections using long-read sequencing.Microbial genomics · 2026Article
- Detection and removal methods of antibiotic-resistance genes in drinking water sources: a review.Journal of water and health · 2026Review
- Genomic and molecular characterisation of a KPC-producing Klebsiella pneumoniae clinical isolate resistant to meropenem-vaborbactam, imipenem-relebactam, and ceftazidime-avibactam.BMC genomic data · 2026Article
- Resistance associated genomic variations for moderate level tigecycline resistance evolution in Acinetobacter baumannii.World journal of microbiology & biotechnology · 2026Article
- RNA Sequencing of Sepsis Patients Informs Tests to Quickly Diagnose Pathogens and Resistance.Shock (Augusta, Ga.) · 2026Article
- Resolving plasmid-encoded carbapenem resistance dynamics and reservoirs in a hospital setting through nanopore sequencing.Microbial genomics · 2026Article
- MMonitor for real-time monitoring of microbial communities using long reads.Cell reports methods · 2026Article
- Antibiotic resistance inFrontiers in microbiology · 2026Review
- The transformative impact of ultra-rapid nanopore sequencing in precision medicine.Frontiers in immunology · 2026Review
- Genotypic and phenotypic strategies to detect antibiotic resistance in foodborne pathogens along the food processing chain.Current research in food science · 2026Review
- A whole-genome sequencing dataset of nanopore raw signals for bacterial genotyping and methylation analysis.Scientific data · 2025Article
- The applications and advantages of nanopore sequencing in bacterial antimicrobial resistance surveillance and research.npj antimicrobials and resistance · 2025Review
- Empowering low-crosstalk, dynamic-decision random access of DNA storage via 384-multiplexed nanopore signatures.Nature communications · 2025Article
- Portable and affordable device for on-site quantitative detection of somatic cells in milk.NPJ science of food · 2025Article
- Inference of antimicrobial resistance (AMR) from a whole genome database outperforming AMR gene detection.iScience · 2025Article
- 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
10 authors.
Funding
Abstract
Real-time genomics through nanopore sequencing holds the promise of fast antibiotic resistance prediction directly in the clinical setting. However, concerns about the accuracy of genomics-based resistance predictions persist, particularly when compared to traditional, clinically established diagnostic methods. Here, we leverage the case of a multi-drug resistant Klebsiella pneumoniae infection to demonstrate how real-time genomics can enhance the accuracy of antibiotic resistance profiling in complex infection scenarios. Our results show that unlike established diagnostics, nanopore sequencing data analysis can accurately detect low-abundance plasmid-mediated resistance, which often remains undetected by conventional methods. This capability has direct implications for clinical practice, where such "hidden" resistance profiles can critically influence treatment decisions. Consequently, the rapid, in situ application of real-time genomics holds significant promise for improving clinical decision-making and patient outcomes.
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.