Evidence map›Paper›PMID 31803396›Full record

ArticleMedChemComm2019

Targeted metabolomics approach for identification of relapsing-remitting multiple sclerosis markers and evaluation of diagnostic models.

Marat F Kasakin, Artem D Rogachev, Elena V Predtechenskaya, Vladimir J Zaigraev, Vladimir V Koval, Andrey G Pokrovsky

Open access · greenAbstract read
In one paragraph

Article in MedChemComm, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.8field-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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Metabolic and lipid alterations in multiple sclerosis linked to disease severity.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Precision Medicine Approaches with Metabolomics and Artificial Intelligence.International journal of molecular sciences · 2022
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  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

6 authors at 2 institutions in 2 countries.

Marat F KasakinJoint Center for Genomic, Proteomic, and Metabolomic Studies , Institute of Chemical Biology and Fundamental Medicine , Novosibirsk , Russia . Email: kassakinm@gmail.com.ORCID 0000-0003-0069-0040
Artem D RogachevV. Zelman Institute for Medicine and Psychology , Novosibirsk State University , Novosibirsk , Russia.ORCID 0000-0002-3338-8529
Elena V PredtechenskayaV. Zelman Institute for Medicine and Psychology , Novosibirsk State University , Novosibirsk , Russia.
Vladimir J ZaigraevV. Zelman Institute for Medicine and Psychology , Novosibirsk State University , Novosibirsk , Russia.
Vladimir V KovalJoint Center for Genomic, Proteomic, and Metabolomic Studies , Institute of Chemical Biology and Fundamental Medicine , Novosibirsk , Russia . Email: kassakinm@gmail.com.ORCID 0000-0002-2577-2184
Andrey G PokrovskyV. Zelman Institute for Medicine and Psychology , Novosibirsk State University , Novosibirsk , Russia.
Novosibirsk State University · RUInstitute of Chemical Biology and Fundamental Medicine · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is an inflammatory autoimmune disease that causes demyelination of nerve cell axons. This paper is devoted to the study of relapsing-remitting multiple sclerosis (RRMS) biomarkers using an LC-MS/MS-based targeted metabolomics approach and the assessment of changes in the profile of 13 amino acids and 29 acylcarnitines in plasma during the relapse of the disease. A significant increase (

Identifiers

PMID31803396
PMCPMC6849630
OpenAlexW2967703846

What OpenQuestion holds

Textmetadata
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.