Cardiovascular sequelae of <scp>sports‐related</scp> concussions
Bibliographic record
Abstract
We are becoming more aware of sports-related concussions (SRCs). Current return-to-play (RTP) guidelines are often based on subjective clinical symptoms rather than objective physiologic measures. Although evidence is limited, the purpose of this article is to summarize the data pertaining to acute and chronic cardiovascular effects of SRCs, and to determine whether there are objective metrics that could improve currently used RTP protocols. Research shows that SRCs cause cardiovascular autonomic nervous system (CV-ANS) dysfunction induced by decreased baroreceptor sensitivity (BRS). This disturbance persists past the point of clinical symptom resolution and can worsen through subsequent exertion, which may impact long-term recovery. Further studies are needed to establish the most appropriate physiologic metrics for analyzing recovery post-SRC and whether the addition of physiologic measures to RTP guidelines improves recovery from these injuries. This is an understudied area that carries important clinical implications. Larger and more robust trials are warranted to inform the development of guidelines that should focus on lessening the compounding effects of multiple concussions and improve the management of SRCs.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".