Evidence map›Paper›PMID 40212029›Full record

ArticleOpen forum infectious diseases2025

Influence of Sequencing Technology on Pangenome-Level Analysis and Detection of Antimicrobial Resistance Genes in ESKAPE Pathogens.

Alba Frias-De-Diego, Manuel Jara, Cristina Lanzas

Abstract read
In one paragraph

Article in Open forum infectious diseases, 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. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Alba Frias-De-DiegoDepartment of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-8897-3258
Manuel JaraDepartment of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0001-7011-6218
Cristina LanzasDepartment of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-4039-0336

Funding

Analytical pipelines for data and model integration: finding informed pathways for antimicrobial resistance controlR35GM134934 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI LANZAS, CRISTINA · 2020 to 2024
$2.1M
NIGMS NIH HHS R35 GM134934
6 · The paper itself

Abstract

As sequencing costs decrease, short-read and long-read technologies are indispensable tools for uncovering the genetic drivers behind bacterial pathogen resistance. This study explores the differences between the use of short-read (Illumina) and long-read (Oxford Nanopore Technologies [ONT]) sequencing in detecting antimicrobial resistance (AMR) genes in ESKAPE pathogens (ie,

Indexed as

antimicrobial resistancebacterial genomicsESKAPE pathogensIlluminaOxford Nanopore Technologies

Identifiers

PMID40212029
PMCPMC11983279

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.