Mechanisms Underpinning Exercise-Induced Changes in Left Ventricular Function
Bibliographic record
Abstract
Despite a growing body of evidence suggesting that prolonged strenuous exercise (PSE) is associated with a transient reduction in right (RV) and left ventricular (LV) performance, the exact mechanism(s) responsible for this phenomenon is not fully understood. As such, the primary objective of this article was to critically review the available literature (both animal and human) to provide insight into the potential mechanism(s) responsible for the development of "exercise-induced cardiac fatigue." We pay particular attention to the major mechanisms that have been linked to transient changes in systolic function after PSE including altered loading conditions, myocardial ischemia/damage, altered beta-receptor responsiveness, and altered cardiac autonomic modulation. We also examine the potential mechanisms that may contribute to transient changes in diastolic function often observed after PSE including changes in LV pressure gradients and alterations in intrinsic myocardial relaxation. Although further mechanistic investigations are clearly warranted, several key mechanisms have received support for at least a partial contribution to the transient changes in myocardial performance often observed after PSE.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".