An Updated Review on the Clinicopathologic Aspects of Arrhythmogenic Right Ventricular Cardiomyopathy An Updated Review on the Clinicopathologic Aspects of Arrhythmogenic Right Ventricular Cardiomyopathy.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.024 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.023 | 0.009 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it