Evidence map›Paper›PMID 29148710›Full record

ArticleAnalytical chemistry2017

LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise Lipid Consensus Mean Estimate Values.

Candice Z Ulmer, Jared M Ragland, Jeremy P Koelmel, Alan Heckert, Christina M Jones, Timothy J Garrett, Richard A Yost, John A Bowden

Abstract readComparative Study
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. A lipidome atlas in MS-DIAL 4.Nature biotechnology · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Plasma lipidome reveals critical illness and recovery from human Ebola virus disease.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Article
  16. Review
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

8 authors.

Candice Z UlmerChemical Sciences Division, Marine Biochemical Sciences Group, Hollings Marine Laboratory, National Institute of Standards and Technology , 331 Fort Johnson Road, Charleston, South Carolina 29412, United States.
Jared M RaglandChemical Sciences Division, Marine Biochemical Sciences Group, Hollings Marine Laboratory, National Institute of Standards and Technology , 331 Fort Johnson Road, Charleston, South Carolina 29412, United States.
Jeremy P KoelmelDepartment of Chemistry, University of Florida , 125 Buckman Drive, Gainesville, Florida 32611, United States.
Alan HeckertStatistical Engineering Division, National Institute of Standards and Technology , 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.
Christina M JonesChemical Sciences Division, Organic Chemical Measurement Science Group, National Institute of Standards and Technology , 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.
Timothy J GarrettDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida , Gainesville, Florida 32610, United States.
Richard A YostDepartment of Chemistry, University of Florida , 125 Buckman Drive, Gainesville, Florida 32611, United States.ORCID 0000-0002-1293-5669
John A BowdenChemical Sciences Division, Marine Biochemical Sciences Group, Hollings Marine Laboratory, National Institute of Standards and Technology , 331 Fort Johnson Road, Charleston, South Carolina 29412, United States.ORCID 0000-0003-3135-4015

Funding

Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
Intramural NIST DOC 9999-NISTNIDDK NIH HHS U24 DK097209
6 · The paper itself

Abstract

As advances in analytical separation techniques, mass spectrometry instrumentation, and data processing platforms continue to spur growth in the lipidomics field, more structurally unique lipid species are detected and annotated. The lipidomics community is in need of benchmark reference values to assess the validity of various lipidomics workflows in providing accurate quantitative measurements across the diverse lipidome. LipidQC addresses the harmonization challenge in lipid quantitation by providing a semiautomated process, independent of analytical platform, for visual comparison of experimental results of National Institute of Standards and Technology Standard Reference Material (SRM) 1950, "Metabolites in Frozen Human Plasma", against benchmark consensus mean concentrations derived from the NIST Lipidomics Interlaboratory Comparison Exercise.

Indexed as

HumansLipidsMass SpectrometryReference StandardsLipids

Identifiers

PMID29148710
PMCPMC11493136

What Socratic holds

Textmetadata
LicenceTDM
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.