A Patient With a Zenker’s Diverticulum Showing Symptoms Similar to Acute Coronary Syndrome
Bibliographic record
Abstract
A 61-year-old man with no significant medical history was admitted to our hospital because of upper chest pain and discomfort. Urgent coronary angiography with possible diagnosis of acute coronary syndrome (ACS) showed normal findings. Further questioning after coronary angiography revealed that patient’s symptoms had gotten worse soon after swallowing a piece of sushi without chewing. Computed tomography of the chest revealed air particles outside the posterior hypopharynx wall, and subsequent esophagography showed Zenker’s diverticulum (ZD) of about 1 cm in diameter. The discomfort resolved on day 2. Findings on esophageal manometry and upper gastrointestinal endoscopy showed no remarkable abnormalities, and the entrance of the ZD could not be identified on endoscopic examination. The patient was discharged on day 7 without any complications. Physicians should know that esophageal diseases, including ZD, might show symptoms mimicking ACS, and that not obtaining a detailed clinical history can lead to misdiagnosis. J Med Cases. 2015;6(12):576-579 doi: https://doi.org/10.14740/jmc2311w
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".