Healing Myocarditis from a Hypertrophied Heart with Multifocal Fibrosis Mimicking Cardiomyopathy
Bibliographic record
Abstract
We report the case of an 18 year old man who unexpectedly died of healing myocarditis. His heart was hypertrophied with multifocal fibrosis which can be a common histological feature of primary and secondary cardiomyopathy as well as the healing phase of myocarditis. However, the pattern of myocardial fibrosis, inflammation with myonecrosis, sparing of the right ventricular myocardium, and cardiomyocytes features in the remaining areas of the heart were considered as the key elements in determining a diagnosis of myocarditis. This case illustrates that meticulous histologic examination and the analysis of the histologic findings in the hypertrophied heart with multifocal fibrosis can be helpful to make a correct diagnosis.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".