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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".