Evidence map›Paper›PMID 40178523›Full record

ArticleMicrobial genomics2025

MultiSeq-AMR: a modular amplicon-sequencing workflow for rapid detection of bloodstream infection and antimicrobial resistance markers.

Mohammad Saiful Islam Sajib, Katarina Oravcova, Kirstyn Brunker, Paul Everest, Ma Jowina H Galarion, Manuel Fuentes, Catherine Wilson, Michael E Murphy, Taya Forde

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Mohammad Saiful Islam SajibSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK.
Katarina OravcovaSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK.
Kirstyn BrunkerSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK.
Paul EverestSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK.
Ma Jowina H GalarionMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
Manuel FuentesSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK.
Catherine WilsonDepartment of Microbiology, New Lister Building, Glasgow Royal Infirmary, NHS Greater Glasgow and Clyde, Glasgow, UK.
Michael E MurphyDepartment of Microbiology, New Lister Building, Glasgow Royal Infirmary, NHS Greater Glasgow and Clyde, Glasgow, UK.
Taya FordeSchool of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections (BSIs) represent a significant global health challenge, and traditional diagnostic methods are suboptimal for timely guiding targeted antibiotic therapy. We introduce MultiSeq-AMR, a rapid and modular nanopore amplicon-sequencing workflow to identify bacterial and fungal species and a comprehensive set of antimicrobial resistance (AMR) genes (

Indexed as

BacteremiaBacteriaDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingAnti-Bacterial AgentsFungiHumansWhole Genome SequencingWorkflowAnti-Bacterial Agentsamplicon sequencingantimicrobial resistance (AMR)bloodstream infectioncost-effectiveMultiSeq-AMRrapid diagnosis

Identifiers

PMID40178523
PMCPMC12452178

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.