Evidence map›Paper›PMID 39338921›Full record

ArticlePathogens (Basel, Switzerland)2024

Contributions of Long-Read Sequencing for the Detection of Antimicrobial Resistance.

Roberto Sierra, Mélanie Roch, Milo Moraz, Julien Prados, Nicolas Vuilleumier, Stéphane Emonet, Diego O Andrey

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Frontiers in bioinformatics · 2026
    Review
  6. Article
  7. Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  8. 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

7 authors.

Roberto SierraInfectious Diseases Division, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 1205 Geneva, Switzerland.
Mélanie RochDepartment of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland.ORCID 0000-0001-6485-8434
Milo MorazInfectious Diseases Division, Institut Central des Hôpitaux (ICH), Valais Hospital, 1951 Sion, Switzerland.
Julien PradosBioinformatics Support Platform, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland.ORCID 0000-0002-8546-241X
Nicolas VuilleumierDivision of Laboratory Medicine, Diagnostics Department, Geneva University Hospitals and Faculty of Medicine, 1205 Geneva, Switzerland.
Stéphane EmonetInfectious Diseases Division, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 1205 Geneva, Switzerland.ORCID 0000-0002-1201-742X
Diego O AndreyInfectious Diseases Division, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 1205 Geneva, Switzerland.ORCID 0000-0003-3247-9274

Funding

Geneva University Hospitals
6 · The paper itself

Abstract

backgroundIn the context of increasing antimicrobial resistance (AMR), whole-genome sequencing (WGS) of bacteria is considered a highly accurate and comprehensive surveillance method for detecting and tracking the spread of resistant pathogens. Two primary sequencing technologies exist: short-read sequencing (50-300 base pairs) and long-read sequencing (thousands of base pairs). The former, based on Illumina sequencing platforms (ISPs), provides extensive coverage and high accuracy for detecting single nucleotide polymorphisms (SNPs) and small insertions/deletions, but is limited by its read length. The latter, based on platforms such as Oxford Nanopore Technologies (ONT), enables the assembly of genomes, particularly those with repetitive regions and structural variants, although its accuracy has historically been lower.

resultsWe performed a head-to-head comparison of these techniques to sequence the

conclusionsIn this proof-of-concept study, we conclude that recent long-read sequencing technology may outperform standard short-read sequencing for the accurate identification of carbapenemase alleles. Such information is crucial given the rising prevalence of strains producing multiple carbapenemases, especially as WGS is increasingly used for epidemiological surveillance and infection control.

Indexed as

Drug Resistance, BacterialKlebsiella pneumoniaeWhole Genome SequencingAnti-Bacterial Agentsbeta-LactamasesGenome, BacterialHigh-Throughput Nucleotide SequencingHumansKlebsiella InfectionsMicrobial Sensitivity TestsPolymorphism, Single NucleotideAnti-Bacterial Agentsbeta-LactamasescarbapenemaseKlebsiellalong-read sequencingOxford Nanopore Technologies

Identifiers

PMID39338921
PMCPMC11434816

What OpenQuestion holds

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Registered trials

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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.