The Role of Bystander-initiated Basic Life Support in Sports-related Sudden Cardiac Arrest: A Systematic Review
Bibliographic record
Abstract
Background: Sudden cardiac arrest is the leading medical cause of death amongst athletes and a common cause of death during exercise. The provision of cardiopulmonary resuscitation (CPR) and automatic external defibrillator (AED) use by bystanders can greatly improve survival outcomes in sudden cardiac arrest. However, the effectiveness of these interventions within exertional settings requires further investigation.
 Objective: To evaluate the role of bystander-initiated CPR and AED use on survival outcomes amongst sports-related sudden cardiac arrest (SrSCA).
 Methods: Several databases and grey literature sources were queried from inception until November 2020 using a comprehensive search strategy. Abstract screening, full-text review, and data extraction of eligible studies were conducted independently by two reviewers. SrSCA was defined as a cardiac arrest which occurred during (or within 1-hour of) physical activity, sport, or exercise. Bystander CPR and AED rates, as well as appropriate survival outcomes, were extracted from each study, and overall summary measures were calculated.
 Results: A total of 2,850 unique records were identified, with 176 articles selected for full-text review, of which 32 studies were included in this review. The median rate of bystander CPR and AED use was 75% and 24%, respectively. Survival to hospital discharge ranged from 11%-93%, with a median rate of 33%.
 Conclusions: Majority of SrSCAs received bystander CPR and achieved a high rate of survival to hospital discharge, yet AED use was low. These findings encourage layperson education in basic life support, the availability of AEDs in athletic facilities, and emergency action plans to ensure timely resuscitation.
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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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.003 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| 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".