Spécificités électrocardiographiques et échocardiographiques des jeunes athlètes métis réunionnais
Bibliographic record
Abstract
Background: electrocardiographic (ECG) and echocardiographic (ETT) characteristics of Afro-Caribbean athletes changed recommendations in sports cardiology. No specific data has been provided for mixed-race athletes so far. Aims: To compare ECG and ETT characteristics of adolescent mixed-race (M) athletes with those of Caucasian (C) and African (A) athletes. Material and Methods: between 12/2015 and 08/2017, 100 young athletes born in Reunion Island (70 M, 18 C, 12 A) were included in our study. ECG and ETT were performed during a pre-participation screening before competitive sporting activity. Results: M athletes showed no ECG specificity. The “Afro-Caribbean athletes’ repolarization” was found in 5.7% of M athletes. M and A athletes demonstrated a greater wall thickening induced by exercise compared to C athletes (IVSd indexed at 5.2 ± 0.6mm/m2 and 5.3 ± 0.6mm/m2 [p M/A = 0.363] versus 4.8 ± 0.6mm/m2 respectively [p M/C = 0.011, p A/C = 0.024]). M and C athletes featured larger left-ventricular cavity size compared to A athletes (LVIDd indexed at 28.8 ± 2.9mm/m2 and 28.9 ± 2.4mm/m2 [p M/C = 0.887] versus 26.4 ± 2.5mm/m2 respectively [p M/A = 0.011, p C/A = 0.013]). Conclusion: morphologic left ventricular (LV) remodeling in mixed-race adolescent athletes is characterized by a greater LV cavity enlargement compared to A athletes and a significant increase in LV wall thickness compared to C athletes. ”Afro- Caribbean repolarization” is occasionally seen among these athletes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".