Evidence map›Paper›PMID 38481663›Full record

ArticleFrontiers in cellular and infection microbiology2024

Defining a metagenomic threshold for detecting low abundances of

Anja Maria Aardal, Eiril Moen Soltvedt, Simen Foyn Nørstebø, Thomas H A Haverkamp, Sabrina Rodriguez-Campos, Ellen Skancke, Ann-Katrin Llarena

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. CanineMicrobial genomics · 2026
    Article
  2. Article
  3. 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 at 2 institutions in 1 country.

Anja Maria AardalBacteriology and Mycology Unit, Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Eiril Moen SoltvedtBacteriology and Mycology Unit, Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Simen Foyn NørstebøBacteriology and Mycology Unit, Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Thomas H A HaverkampNorwegian Veterinary Institute, Ås, Norway.
Sabrina Rodriguez-CamposBacteriology and Mycology Unit, Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Ellen SkanckeSmall Animal Section, Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Ann-Katrin LlarenaFood Safety Unit, Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Norwegian University of Life Sciences · NONorwegian Veterinary Institute · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute haemorrhagic diarrhoea syndrome (AHDS) in dogs is a condition of unknown aetiology. Materials and methods: To decrease the likelihood of false detection, we established a metagenomic threshold for Results: The metagenomic assay and qPCR had a detection limit of 1.1x10 Discussion: Using our detection limit, the occurrence of

Indexed as

DiarrheaMetagenomeAnimalsBacteriaDogsFecesMetagenomicsProvidenciaAHDScanineclinical metagenomicsdetection limitfaecal microbiotashotgun sequencing

Identifiers

PMID38481663
PMCPMC10933104
OpenAlexW4392235743

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.