Genetic Counselors: An Important Resource for Families following a Young Sudden Cardiac Death
Bibliographic record
Abstract
Sudden cardiac death is a tragic result of a number of cardiovascular diseases. While the majority of sudden cardiac death cases are in older individuals with coronary artery disease, victims also include younger people (those less than 40 years old). At least 40% of cases of young sudden death are attributable to genetic causes, including diagnoses such as long QT syndrome and hypertrophic cardiomyopathy. In 50% of young sudden death cases, there are no warning signs or family history of sudden death. These young sudden deaths are a tragedy for families and in many cases are devastating for communities as well. Awareness is spreading among medical examiners and cardiologists on how to assess and treat these families but few healthcare providers see cases routinely. The combination of an unexpected death and the burden of potentially having a genetic disease themselves leaves family members in a vulnerable and often overwhelming position. Genetic counselors, particularly those who specialize in cardiovascular disease, are uniquely qualified to help surviving family members navigate the medical and psychosocial issues present in these cases.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.061 | 0.015 |
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".