A Curious Case of Pericardiohydroptysis
Bibliographic record
Abstract
Rupture of the heart or pericardium is a rare clinical finding almost always associated with trauma to the chest. Non-traumatic pericardial rupture into the lung parenchyma and pleural space has not been reported in literature. Hence the progression or natural course is not known and the optimal management not defined. We report a case of a 65-year-old male patient with past medical history of hypertension and alcohol abuse who presented with complaints of fever, and sharp retrosternal chest pain and was found to have rupture of the pericardium into the right pleural space and lung parench yma. The diagnosis was established with a computed tomography scan of the chest and a cardiac magnetic resonance imaging. Routine investigation and a surgical biopsy of the pericardium could not establish a cause for the pericardial rupture. He was treated as idiopathic pericarditis with improvement over time, and a repeat echocardiogram showed resolution of the pericardial effusion. More than a year after the initial presentation, the patient is stable with no complications. From the sequence of events, we presume that the productive cough which immediately preceded this diagnosis represented the coughing up of pericardial fluid (pericardiohydroptysis). doi: http://dx.doi.org/10.4021/jmc1138w
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".