Evidence map›Paper›PMID 35369431›Full record

ArticleFrontiers in microbiology2022

Ultrafast and Cost-Effective Pathogen Identification and Resistance Gene Detection in a Clinical Setting Using Nanopore Flongle Sequencing.

Ekaterina Avershina, Stephan A Frye, Jawad Ali, Arne M Taxt, Rafi Ahmad

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  10. Rapid Detection ofBiomolecules · 2024
    Article
  11. Culture and amplification-free nanopore sequencing for rapid detection of pathogens and antimicrobial resistance genes from urine.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  12. Article
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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

5 authors.

Ekaterina AvershinaDepartment of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway.
Stephan A FryeDivision of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway.
Jawad AliDepartment of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway.
Arne M TaxtDivision of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway.
Rafi AhmadDepartment of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid bacterial identification and antimicrobial resistance gene (ARG) detection are crucial for fast optimization of antibiotic treatment, especially for septic patients where each hour of delayed antibiotic prescription might have lethal consequences. This work investigates whether the Oxford Nanopore Technology's (ONT) Flongle sequencing platform is suitable for real-time sequencing directly from blood cultures to identify bacteria and detect resistance-encoding genes. For the analysis, we used pure bacterial cultures of four clinical isolates of

Indexed as

antibiotic resistance gene (ARGs)clinical sampleFlongleONT sequencingpathogen identification

Identifiers

PMID35369431
PMCPMC8970966

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.