Pan-Esophageal Submucosal Dissection following Transesophageal Echocardiography
Bibliographic record
Abstract
A 73-year-old female underwent open mitral valve replacement with transesophageal echocardiography (TEE) guidance. She developed upper gastrointestinal bleeding postoperatively and was found on upper endoscopy to have a bleeding site at the gastric cardia with the appearance of focal trauma and a possible puncture site. A submucosal bluish protrusion was seen throughout the esophagus with a mucosal flap at the proximal esophagus. As a unifying diagnosis, it was suspected that the intraoperative TEE probe caused a submucosal dissection with point of entry at the proximal esophagus, running the entire length of the esophagus and exiting at the gastric cardia, giving rise to a clinical upper gastrointestinal bleed. Closure of the esophageal defect was achieved using an endoclip. A CT scan showed focal pneumomediastinum along the proximal esophagus, confirming the hypothesis. We report the first case to our knowledge of iatrogenic pan-esophageal submucosal dissection, which, in this case, presented as a clinical bleed from the exit point trauma to the gastric cardia mucosa caused by a TEE probe. Endoscopic management of the gastric injury as well as the esophageal defect led to resolution of the bleeding and avoidance of mediastinitis, respectively, allowing for an excellent recovery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".