Evidence map›Paper›PMID 34425588›Full record

ArticleEuropean journal of preventive cardiology2021

Yield and clinical significance of genetic screening in elite and amateur athletes.

Giuseppe Limongelli, Marcella Nunziato, Valeria D'Argenio, Maria V Esposito, Emanuele Monda, Cristina Mazzaccara, Martina Caiazza, Antonello D'Aponte, Antonello D'Andrea, Eduardo Bossone and 10 more

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Article in European journal of preventive cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Is the Elite Female Athlete's Pelvic Floor Stronger?Journal of clinical medicine · 2024
    Article
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  3. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Metabolic Treatment of Wolfram Syndrome.International journal of environmental research and public health · 2022
    Review
  12. Review
  13. The Biological Role of Vitamins in Athletes' Muscle, Heart and Microbiota.International journal of environmental research and public health · 2022
    Review
  14. Article
  15. Article
  16. Comprehensive Molecular Analysis ofDiagnostics (Basel, Switzerland) · 2021
    Article
  17. Article
  18. NGS Analysis Revealed Digenic HeterozygousDiagnostics (Basel, Switzerland) · 2021
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Giuseppe LimongelliDepartment of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Italy.
Marcella NunziatoCEINGE - Biotecnologie Avanzate, Italy.
Valeria D'ArgenioCEINGE - Biotecnologie Avanzate, Italy.
Maria V EspositoCEINGE - Biotecnologie Avanzate, Italy.
Emanuele MondaDepartment of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Italy.
Cristina MazzaccaraCEINGE - Biotecnologie Avanzate, Italy.
Martina CaiazzaDepartment of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Italy.
Antonello D'AponteDepartment of Experimental Medicine, University of Campania 'Luigi Vanvitelli', Italy.
Antonello D'AndreaDepartment of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Italy.
Eduardo BossoneDivision of Cardiology, Antonio Cardarelli Hospital, Italy.
Federica Di MaggioCEINGE - Biotecnologie Avanzate, Italy.
Pasqualina BuonoCEINGE - Biotecnologie Avanzate, Italy.
Paolo W PicaDepartment of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Italy.
Luca De CapuaDepartment of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Italy.
Maria PencoDepartment of Life, Health and Environmental Sciences, University of L'Aquila, Italy.
Silvio RomanoDepartment of Life, Health and Environmental Sciences, University of L'Aquila, Italy.
Fernando Di PaoloInstitute of Sport Medicine and Science, Italy.
Antonio PellicciaInstitute of Sport Medicine and Science, Italy.
Giulia FrissoCEINGE - Biotecnologie Avanzate, Italy.
Francesco SalvatoreCEINGE - Biotecnologie Avanzate, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe purpose of this study was to assess the value of genetic testing in addition to a comprehensive clinical evaluation, as part of the diagnostic work-up of elite and/or amateur Italian athletes referred for suspicion of inherited cardiac disease, following a pre-participation screening programme.

methodsBetween January 2009-December 2018, of 5892 consecutive participants, 61 athletes were investigated: 30 elite and 31 amateur athletes. Elite and amateur athletes were selected, on the basis of clinical suspicion for inherited cardiac disease, from two experienced centres for a comprehensive cardiovascular evaluation. Furthermore, the elite and amateur athletes were investigated for variants at DNA level up to 138 genes suspected to bear predisposition for possible cardiac arrest or even sudden cardiac death.

resultsOf these 61 selected subjects, six (10%) had diagnosis made possible by a deeper clinical evaluation, while genetic testing allowed a definite diagnosis in eight (13%). The presence of >3 clinical markers (i.e. family history, electrocardiogram and/or echocardiographic abnormalities, exercise-induced ventricular arrhythmias) was associated with a higher probability of positive genetic diagnosis (75%), compared with the presence of two or one clinical markers (14.2%, 8.1%, respectively, p-value = 0.004).

conclusionA combined clinical and genetic evaluation, based on the subtle evidence of clinical markers for inherited disease, was able to identify an inherited cardiac disease in about one-quarter of the examined athletes.

Indexed as

AthletesDeath, Sudden, CardiacArrhythmias, CardiacElectrocardiographyGenetic TestingHumansAthletesgenetic testinginherited heart diseasemultigene panel testingsudden cardiac death

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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.