Evidence map›Paper›PMID 28595575›Full record

ArticleBMC microbiology2017

Towards diagnostic metagenomics of Campylobacter in fecal samples.

Sandra Christine Andersen, Kristoffer Kiil, Christoffer Bugge Harder, Mathilde Hasseldam Josefsen, Søren Persson, Eva Møller Nielsen, Jeffrey Hoorfar

Abstract read
In one paragraph

Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Defining a metagenomic threshold for detecting low abundances ofFrontiers in cellular and infection microbiology · 2024
    Article
  4. Review
  5. Molecular diagnostics ofAIMS microbiology · 2021
    Article
  6. Article
  7. Review
  8. Review
  9. 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.

Sandra Christine AndersenNational Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860, Søborg, Denmark. sanan@food.dtu.dk.
Kristoffer KiilStatens Serum Institut, Artillerivej 5, DK-2300, København S, Denmark.
Christoffer Bugge HarderStatens Serum Institut, Artillerivej 5, DK-2300, København S, Denmark.
Mathilde Hasseldam JosefsenNational Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860, Søborg, Denmark.
Søren PerssonStatens Serum Institut, Artillerivej 5, DK-2300, København S, Denmark.
Eva Møller NielsenStatens Serum Institut, Artillerivej 5, DK-2300, København S, Denmark.
Jeffrey HoorfarNational Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860, Søborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of diagnostic metagenomics is driven by the need for universal, culture-independent methods for detection and characterization of pathogens to substitute the time-consuming, organism-specific, and often culture-based laboratory procedures for epidemiological source-tracing. Some of the challenges in diagnostic metagenomics are, that it requires a great next-generation sequencing depth and unautomated data analysis.

resultsDNA from human fecal samples spiked with 7.75 × 10

conclusionsSensitivity in diagnostic metagenomics is improving and has reached a clinically relevant level. There are still challenges to overcome before real-time diagnostic metagenomics can replace quantitative polymerase chain reaction (qPCR) or culture-based surveillance and diagnostics, but it is a promising new technology.

Indexed as

AnimalsBacteriological TechniquesCampylobacter InfectionsCampylobacter jejuniChickensDNA, BacterialFecesHumansMetagenomicsSensitivity and SpecificitySequence Analysis, DNADNA, BacterialCulture independentMolecular typingNext generation sequencing

Identifiers

PMID28595575
PMCPMC5465461

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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.