ArticleScientific reports2026
Evaluating long-read metagenomics for bloodstream infection diagnostics: a pilot study from a Thai Tertiary Hospital.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Bloodstream infections (BSIs) are life-threatening and require rapid, accurate pathogen characterization to guide antimicrobial therapy. Conventional culture-based diagnostics offer limited insight into the genetic basis of antimicrobial resistance (AMR) and virulence. In this study, we applied Oxford Nanopore Technology (ONT) metagenomic sequencing directly to 40 positive blood culture bottles collected at Siriraj Hospital, Thailand (2022 and 2025). Long-read data enabled species identification, AMR marker detection, virulence profiling, and plasmid replicon analysis. Diverse Gram-negative and Gram-positive pathogens were identified, including ESBL-producing Escherichia coli, carbapenem-resistant Klebsiella pneumoniae, Enterococcus spp., and Staphylococcus spp. Comprehensive genomic profiling revealed complex resistance mechanisms, multiple virulence factors related to adhesion, biofilm formation, and toxin production, and diverse plasmid types associated with horizontal gene transfer (HGT). This study demonstrates the value of ONT-based metagenomics as a faster workflow that is blood culture-dependent but subculture-independent, enabling species identification and AMR gene detection within 6–8 h, compared with 5–7 days for conventional methods, while supporting integrated genomic characterization for diagnostics, infection control, and regional AMR surveillance.
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.