Evidence map›Paper›PMID 42274466›Full record

ArticleMicrobial genomics2026

Rapid identification of microbial pathogens and antimicrobial resistance from bloodstream infections using long-read sequencing.

Nicole Lerminiaux, Ken Fakharuddin, Heather J Adam, Amrita Bharat, George R Golding, Irene Martin, Michael Mulvey, Laura F Mataseje

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nicole LerminiauxNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Ken FakharuddinNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Heather J AdamShared Health, Winnipeg, Manitoba, Canada.
Amrita BharatNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
George R GoldingNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Irene MartinNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Michael MulveyNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Laura F MatasejeNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gold standard for bloodstream infection (BSI) diagnostics involves culturing positive blood cultures (BCs) using phenotypic methods for organism identification and antimicrobial resistance (AMR) testing, which can take up to five days. However, it is crucial to optimize antimicrobial therapy as soon as possible to reduce morbidity and mortality. We present a novel laboratory and bioinformatic workflow to rapidly identify bacterial and fungal organisms and AMR determinants from positive BCs using Oxford Nanopore Technologies long-read sequencing. Using a robust clinical sample size (

Indexed as

BacteremiaBacteriaDrug Resistance, BacterialFungiSepsisAnti-Bacterial AgentsBlood CultureDrug Resistance, FungalHigh-Throughput Nucleotide SequencingHumansMicrobial Sensitivity TestsSequence Analysis, DNAAnti-Bacterial Agentsantimicrobial resistancebloodstream infectionpathogensrapid diagnosticssepsis

Identifiers

PMID42274466
PMCPMC13256323

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.