An Updated Review on the Clinicopathologic Aspects of Arrhythmogenic Right Ventricular Cardiomyopathy An Updated Review on the Clinicopathologic Aspects of Arrhythmogenic Right Ventricular Cardiomyopathy.
Bibliographic record
Abstract
Arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC) is a disease that affects young adults and perhaps is the most common cause of sudden death in this age group. Many of these cases are faced by forensic pathologists, without a prior history, and unless suspected by the pathologist at the time of autopsy, the diagnosis is likely to be missed. Since some of these cases are hereditary, consequences of missing the diagnosis have a medicolegal implication that extends to involve other family members of the deceased. ARVC raises many controversial issues with regard to its existence, defining and diagnostic criteria, pathologic spectrum of changes, and pathogenesis. We reviewed the recent literature and included our experience to dictate a novel approach to the inherent problems faced by pathologists. In this review, we identified the most characteristic and distinct histopathologic features that are diagnostic or highly suggestive of ARVC, even in the absence of clinical history. We also highlighted the new insights on the disease pathogenesis. Hence, this review provides a better understanding of the disease and sheds light on many controversial issues regarding ARVC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".