Evidence map›Paper›PMID 37754829›Full record

ReviewJournal of cardiovascular development and disease2023

The Relationship between Changes in

Emna Riguene, Maria Theodoridou, Laila Barrak, Mohamed A Elrayess, Michail Nomikos

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Emna RigueneCollege of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Maria TheodoridouBiomedical Research Center (BRC), Qatar University, Doha P.O. Box 2713, Qatar.
Laila BarrakCollege of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Mohamed A ElrayessCollege of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-3803-4604
Michail NomikosCollege of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Qatar University · QA

Funding

Qatar University QUCG-CMED-22/23-514
6 · The paper itself

Abstract

Athletic performance is a multifactorial trait influenced by a complex interaction of environmental and genetic factors. Over the last decades, understanding and improving elite athletes' endurance and performance has become a real challenge for scientists. Significant tools include but are not limited to the development of molecular methods for talent identification, personalized exercise training, dietary requirements, prevention of exercise-related diseases, as well as the recognition of the structure and function of the genome in elite athletes. Investigating the genetic markers and phenotypes has become critical for elite endurance surveillance. The identification of genetic variants contributing to a predisposition for excellence in certain types of athletic activities has been difficult despite the relatively high genetic inheritance of athlete status. Metabolomics can potentially represent a useful approach for gaining a thorough understanding of various physiological states and for clarifying disorders caused by strength-endurance physical exercise. Based on a previous GWAS study, this manuscript aims to discuss the association of specific single-nucleotide polymorphisms (SNPs) located in the

Indexed as

elite athleteenduranceheartmetabolitesmyosin-binding protein C

Identifiers

PMID37754829
PMCPMC10531821
OpenAlexW4386835336

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.