Evidence map›Paper›PMID 27900291›Full record

ArticleMuscles, ligaments and tendons journal

Elastin: a possible genetic biomarker for more severe ligament injuries in elite soccer. A pilot study.

Rosa Artells, Ricard Pruna, Alexandre Dellal, Nicola Maffulli

Open access · bronzeAbstract read
In one paragraph

Article in Muscles, ligaments and tendons journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 5 pooled it
–field-weighted citation impact, top 82% 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

10 citing papers in PubMed, 5 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Article
  8. Testing in Football: A Narrative Review.Sports (Basel, Switzerland) · 2024
    Review
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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

4 authors at 1 institution in 1 country.

Rosa ArtellsSM Genomics, Barcelona Science Park, Barcelona, Spain.
Ricard PrunaFC Barcelona Medical Services, FIFA Medical Center of Excellence, Barcelona, Spain.
Alexandre DellalFIFA Medical Center of Excellence, Centre Orhopedique Santy, Lyon, France.
Nicola MaffulliDepartment of Musculoskeletal Disorders Faculty of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy; Centre for Sports and Exercise Medicine Barts and London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Oryzon Genomics (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study of new genetic biomarkers in genes related to connective tissue repair and regeneration may help to identify individuals with greater predisposition to injury, who may benefit from targeted preventive measures, and those who require longer recovery time following a muscle, ligament or tendon injury. The present study investigated whether single nucleotide polymorphisms of the Elastin gene could be related to MCL injury.

methods60 top class football players were studied to identify single nucleotide polymorphisms for the Elastin (ELN) gene using Allelic Discrimination analysis. Each player was followed for 7 seasons, and each MCL injury was noted.

resultsLigament injury rate, severity and recovery time are related to specific genotypes observed in the elastin gene, especially the ELN-AA (16 MCL) and the ELN-AG (3 MCL). Players with the ELN-GG genotype sustained no MCL injury during the 7 seasons of the study.

conclusionsThe identification of polymorphisms in the ELN gene may be used as a novel tool to better define an athlete's genotype, and help to plan training and rehabilitation programmes to prevent or minimize MCL ligament injuries, and optimize the therapeutic and rehabilitation process after soft tissue injuries, and manage the workloads during trainings and matches.

Indexed as

elastingenetic biomarkerinjury preventionmedial collateral ligament injurySNPworkload

Identifiers

PMID27900291
PMCPMC5115249
OpenAlexW2550863465

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.