Evidence map›Paper›PMID 32849773›Full record

ArticleFrontiers in genetics2020

A Potential Endurance Algorithm Prediction in the Field of Sports Performance.

Rocio de la Iglesia, Isabel Espinosa-Salinas, F Javier Lopez-Silvarrey, J Jose Ramos-Alvarez, J Carlos Segovia, Gonzalo Colmenarejo, Elena Borregon-Rivilla, Helena Marcos-Pasero, Elena Aguilar-Aguilar, Viviana Loria-Kohen and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

12 authors.

Rocio de la IglesiaDepartamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Alcorcón, Spain.
Isabel Espinosa-SalinasNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
F Javier Lopez-SilvarreyFacultad de Ciencias de la Salud, Universidad Camilo José Cela, Madrid, Spain.
J Jose Ramos-AlvarezDepartamento de Radiología, Rehabilitación y Fisioterapia, Universidad Complutense de Madrid, Madrid, Spain.
J Carlos SegoviaFacultad de Ciencias de la Salud, Universidad Camilo José Cela, Madrid, Spain.
Gonzalo ColmenarejoBiostatistics and Bioinformatics Unit, IMDEA Food CEI UAM + CSIC, Madrid, Spain.
Elena Borregon-RivillaNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
Helena Marcos-PaseroNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
Elena Aguilar-AguilarNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
Viviana Loria-KohenNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
Guillermo RegleroNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
Ana Ramirez-de MolinaNutrition and Clinical Trials Unit, GENYAL Platform IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sport performance is influenced by several factors, including genetic susceptibility. In the past years, specific single nucleotide polymorphisms have been associated to sport performance; however, these effects should be considered in multivariable prediction systems since they are related to a polygenic inheritance. The aim of this study was to design a genetic endurance prediction score (GES) of endurance performance and analyze its association with anthropometric, nutritional and sport efficiency variables in a cross-sectional study within fifteen male cyclists. A statistically significant positive relationship between GES and the VO

Indexed as

exercisefunctional validationgeneticsnutritionSNP

Identifiers

PMID32849773
PMCPMC7431952

What OpenQuestion holds

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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.