Evidence map›Paper›PMID 36995481›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Evaluation of BAYESIL for automated annotation of

Christiaan De Wet van Zyl, Mari van Reenen, Gernot Osthoff, Ilse du Preez

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. ComparativeMetabolomics : Official journal of the Metabolomic Society · 2026
    Article
  2. UntargetedTranslational psychiatry · 2026
    Article
  3. Article
  4. 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

4 authors.

Christiaan De Wet van ZylCentre for Human Metabolomics, North-West University, Potchefstroom, South Africa.ORCID http://orcid.org/0000-0001-8883-471X
Mari van ReenenCentre for Human Metabolomics, North-West University, Potchefstroom, South Africa.ORCID http://orcid.org/0000-0002-5856-3258
Gernot OsthoffDepartment of Microbiology and Biochemistry, University of the Free State, Bloemfontein, South Africa.ORCID http://orcid.org/0000-0002-1008-4602
Ilse du PreezCentre for Human Metabolomics, North-West University, Potchefstroom, South Africa. ilse.dupreez@nwu.ac.za.ORCID http://orcid.org/0000-0001-5456-3931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTechnological advancements enabled the analyses of limited sample volumes on

objectiveTo evaluate the performance of BAYESIL for automated identification and quantification of

methodAliquots of a pooled African elephant serum sample were analyzed using standard and reduced volumes. Performance was evaluated on confidence scores, non-detects and laboratory CV.

resultsOf the 47 compounds detected, 28 had favorable performances. The approach could differentiate samples based on biological variation.

conclusionsBAYESIL is valuable for limited sample

Indexed as

ElephantsAnimalsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMetabolomicsProton Magnetic Resonance Spectroscopy1H NMRBAYESILElephantLimited sample volumeSerum

Identifiers

PMID36995481
PMCPMC10063514

What Socratic holds

Textmetadata
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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 Socratic graph.