A massive left atrium in the context of severe mitral regurgitation: a case report
Bibliographic record
Abstract
Mitral regurgitation (MR) is among the most common heart conditions. Untreated, severe MR may result in adverse cardiac remodeling, atrial fibrillation (AF), and heart failure. A 45-year-old male with a history of AF presented with heart failure symptoms. Transesophageal echocardiogram revealed a myxomatous mitral valve with anterior leaflet prolapse, severe MR, and massively dilated left atrium (LA). A computerized tomography scan found severe LA dilation up to 17.8 cm. The patient underwent mitral valve replacement, tricuspid valve repair, and LA reduction. MR is known to result in LA dilation due to increased LA volume and pressure. While large LA sizes have been reported, they are often related to congenital conditions and rarely grow to the size identified in this case. AF and LA dilation both predict adverse outcomes, increasing the risk of thrombus formation in such a large chamber.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".