Evidence map›Paper›PMID 32225041›Full record

ArticleMetabolites2020

Comparing Targeted vs. Untargeted MS

Isabel Ten-Doménech, Teresa Martínez-Sena, Marta Moreno-Torres, Juan Daniel Sanjuan-Herráez, José V Castell, Anna Parra-Llorca, Máximo Vento, Guillermo Quintás, Julia Kuligowski

Abstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  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

9 authors.

Isabel Ten-DoménechNeonatal Research Unit, Health Research Institute La Fe, 46026 Valencia, Spain.
Teresa Martínez-SenaHepatología Experimental, Health Research Institute La Fe, 46026 Valencia, Spain.
Marta Moreno-TorresHepatología Experimental, Health Research Institute La Fe, 46026 Valencia, Spain.
Juan Daniel Sanjuan-HerráezHealth and Biomedicine, Leitat Technological Center, 08028 Barcelona, Spain.
José V CastellHepatología Experimental, Health Research Institute La Fe, 46026 Valencia, Spain.
Anna Parra-LlorcaDivision of Neonatology, University & Polytechnic Hospital La Fe, 46026 Valencia, Spain.
Máximo VentoDivision of Neonatology, University & Polytechnic Hospital La Fe, 46026 Valencia, Spain.
Guillermo QuintásHealth and Biomedicine, Leitat Technological Center, 08028 Barcelona, Spain.
Julia KuligowskiNeonatal Research Unit, Health Research Institute La Fe, 46026 Valencia, Spain.

Funding

European Commission 681002Instituto de Salud Carlos III CD19/00176Instituto de Salud Carlos III CP16/00034Instituto de Salud Carlos III FI18/00260Ministerio de Ciencia e Innovación CTQ2016-79561-P
6 · The paper itself

Abstract

One of the most widely used strategies for metabolite annotation in untargeted LCMS is based on the analysis of MS

Indexed as

data dependent acquisitionhuman milkliquid chromatography–mass spectrometrypeak annotation

Identifiers

PMID32225041
PMCPMC7241085

What OpenQuestion 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 OpenQuestion graph.