A Gut-Wrenching Feeling: Overcoming Cognitive Biases in an Atypical Presentation of Chronic Mesenteric Ischemia
Bibliographic record
Abstract
Chronic mesenteric ischemia is a rare but serious condition that can present with a variety of symptoms, including abdominal pain, diarrhea, and weight loss. Our case report presents a 63-year-old male with a past medical history of generalized anxiety disorder, Barrett's esophagus, hypertension, hyperlipidemia, chronic obstructive pulmonary disease (COPD) with active smoking who initially presented with severe diffuse abdominal pain, nausea, vomiting, and chronic diarrhea resulting in malnutrition and 40-pound weight loss over a six-month span. The patient underwent extensive diagnostic evaluation and was diagnosed with Yersinia gastroenteritis via gastroenteritis panel (GI Panel), explaining all of the patient's symptoms. The patient underwent treatment for said gastroenteritis but did not experience remission of symptoms, leading to further diagnostic evaluations; a definitive diagnosis was not found, yet the patient's symptoms persisted. The patient then underwent extensive serologic and endoscopic evaluation, after extensive imaging and diagnostic work-up, the patient was finally diagnosed with chronic mesenteric ischemia (CMI) of the superior mesenteric artery (SMA) with severe celiac and inferior mesenteric artery (IMA) stenosis. The patient initially underwent stenting (7 mm by 26 mm Balloon Mounted LifestreamTM Covered Stent; Becton Dickson (BD); Franklin Lakes, NJ, USA), which provided temporary relief to his symptoms, however, the relief did not last long. Upon reimaging, the patient was found to have stenosis of the stent, leading to the eventual placement of a bare-metal stent (ExpressTM LD 7 x 27 mm balloon mounted bare-metal stent; Boston Scientific; Boston, MA, USA) across the celiac artery as well as the placement of an IMA stent (InnovaTM Self-expanding 5 x 20 mm bare-metal stent; Boston Scientific). This eventually resulted in the resolution of the patient's symptoms, eventual weight gain, and improvement in quality of life.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".