Evidence map›Paper›PMID 32610451›Full record

Trial reportNutrients2020

Ultra-Performance Liquid Chromatography-Ion Mobility Separation-Quadruple Time-of-Flight MS (UHPLC-IMS-QTOF MS) Metabolomics for Short-Term Biomarker Discovery of Orange Intake: A Randomized, Controlled Crossover Study.

Leticia Lacalle-Bergeron, Tania Portolés, Francisco J López, Juan Vicente Sancho, Carolina Ortega-Azorín, Eva M Asensio, Oscar Coltell, Dolores Corella

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Biomarker panels for fruit intake assessment: a metabolomics analysis in the ELSA-Brasil study.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. 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 at 2 institutions in 1 country.

Leticia Lacalle-BergeronResearch Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain.ORCID 0000-0001-9166-722X
Tania PortolésResearch Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain.
Francisco J LópezResearch Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain.
Juan Vicente SanchoResearch Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain.
Carolina Ortega-AzorínDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
Eva M AsensioDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
Oscar ColtellCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Dolores CorellaDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.ORCID 0000-0002-2366-4104
Universitat Jaume I · ESUniversitat de València · ES

Funding

Fundació La Marató de TV3 538/U/2016Generalitat Valenciana PROMETEO2017/017Ramon y Cajal Program-Spanish Ministry of Economy and Competitiveness RYC-2017-22525Spanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) CIBER 06/03Spanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) SAF2016-80532-RUniversitat Jaume I P1-1B2013-54Universitat Jaume I (pre-doctoral grant) UJI 19I001/03
6 · The paper itself

Abstract

A major problem with dietary assessments is their subjective nature. Untargeted metabolomics and new technologies can shed light on this issue and provide a more complete picture of dietary intake by measuring the profile of metabolites in biological samples. Oranges are one of the most consumed fruits in the world, and therefore one of the most studied for their properties. The aim of this work was the application of untargeted metabolomics approach with the novel combination of ion mobility separation coupled to high resolution mass spectrometry (IMS-HRMS) and study the advantages that this technique can bring to the area of dietary biomarker discovery, with the specific case of biomarkers associated with orange consumption (

Indexed as

CitrusAdultBiomarkersChromatography, High Pressure LiquidCross-Over StudiesDiet SurveysEatingFemaleHealthy VolunteersHumansIon Mobility SpectrometryMaleMass SpectrometryMetabolomicsBiomarkersbiomarkersion mobilitymetabolomicsorange intake

Identifiers

PMID32610451
PMCPMC7400617
OpenAlexW3037589752

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.