Spontaneous peri‐aortic hematoma in a patient with new‐onset chest pain
Bibliographic record
Abstract
Peri-aortic hematoma formation is a common sequela of esophageal rupture and aortic dissection, but non-traumatic spontaneous hematoma formation is an uncommon finding. We present the case of a spontaneous peri-aortic hematoma in a 66-year-old male with associated left atrial thrombus. This 66-year-old male presented to a local emergency department with non-radiating epigastric and mid-sternal chest pain and was found to have a non-traumatic peri-aortic hematoma of unknown etiology that developed over a period of 12 hours. Imaging revealed a newly formed left atrial thrombus causing mass effect on the pulmonary veins and a newly formed left-sided pleural effusion. The patient was subsequently transferred to an outside facility for higher level of care where additional pathological etiologies of hematoma were further excluded. Before discharge, the hematoma spontaneously dissipated and the patient was discharged on oral anticoagulants for treatment of the atrial thrombus and advised to follow-up on an outpatient basis with hematology and cardiology specialists.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".