Role of Genetic Testing in Inherited Cardiovascular Disease
Bibliographic record
Abstract
Importance: Genetic testing is a valuable tool for managing inherited cardiovascular disease in patients and families, including hypertrophic, dilated, and arrhythmogenic cardiomyopathies and inherited arrhythmias. By identifying the molecular etiology of disease, genetic testing can improve diagnostic accuracy and refine family management. However, unique features associated with genetic testing affect the interpretation and application of results and differentiate it from traditional laboratory-based diagnostics. Clinicians and patients must have accurate and realistic expectations about the yield of genetic testing and its role in management. Familiarity with the rationale, implications, benefits, and limitations of genetic testing is essential to achieve the best possible outcomes. Observations: Successfully incorporating genetic testing into clinical practice requires (1) recognizing when inherited cardiovascular disease may be present, (2) identifying appropriate individuals in the family for testing, (3) selecting the appropriate genetic test, (4) understanding the complexities of result interpretation, and (5) effectively communicating the results and implications to the patient and family. Obtaining a detailed family history is critical to identify families who will benefit from genetic testing, determine the best strategy, and interpret results. Instead of focusing on an individual patient, genetic testing requires consideration of the family as a unit. Consolidation of care in centers with a high level of expertise is recommended. Clinicians without expertise in genetic testing will benefit from establishing referral or consultative networks with experienced clinicans in specialized multidisciplinary clinics. Conclusions and Relevance: Genetic testing provides a foundation for transitioning to more precise and individualized management. By distinguishing phenotypic subgroups, identifying disease mechanisms, and focusing family care, gene-based diagnosis can improve management. Successful integration of genetic testing into clinical practice requires understanding of the complexities of testing and effective communication of the implications to patients and families.
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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 | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".