Evidence map›Paper›PMID 31877765›Full record

ArticleMetabolites2019

A Perspective and Framework for Developing Sample Type Specific Databases for LC/MS-Based Clinical Metabolomics.

Nichole A Reisdorph, Scott Walmsley, Rick Reisdorph

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Global profiling of polyketide synthases in facultative multicellular eukaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  7. Article
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  9. Article
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  11. Article
  12. Article
  13. Article
  14. Metabolomics on Apple (Foods (Basel, Switzerland) · 2024
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Nichole A ReisdorphDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO 80045, USA.ORCID 0000-0002-0425-8012
Scott WalmsleyMasonic Cancer Center, University of Minnesota, 516 Delaware St. SE, Minneapolis, MN 55455, USA.ORCID 0000-0003-2108-1121
Rick ReisdorphDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO 80045, USA.
University of Colorado Anschutz Medical Campus · USUniversity of Minnesota · US

Funding

Predicting Health Outcomes of Mediterranean Diet via Metabolomics of Foods and BiospecimensR01DK113957 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI CAMPBELL, WAYNE W, KREBS, NANCY F · 2018 to 2022
$3.2M
NIDDK NIH HHS R01 DK113957
6 · The paper itself

Abstract

Metabolomics has the potential to greatly impact biomedical research in areas such as biomarker discovery and understanding molecular mechanisms of disease. However, compound identification (ID) remains a major challenge in liquid chromatography mass spectrometry-based metabolomics. This is partly due to a lack of specificity in metabolomics databases. Though impressive in depth and breadth, the sheer magnitude of currently available databases is in part what makes them ineffective for many metabolomics studies. While still in pilot phases, our experience suggests that custom-built databases, developed using empirical data from specific sample types, can significantly improve confidence in IDs. While the concept of sample type specific databases (STSDBs) and spectral libraries is not entirely new, inclusion of unique descriptors such as

Indexed as

compound identificationdatabasemetabolite identificationmetabolomicsspectral library

Identifiers

PMID31877765
PMCPMC7023092
OpenAlexW2995966112

What Socratic 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 Socratic graph.