Sclerosing Mesenteritis: Multidisciplinary Collaboration Is Essential for Diagnosis and Treatment
Bibliographic record
Abstract
Sclerosing mesenteritis (SM) is an extremely rare disease characterized by chronic non-specific inflammation, fat necrosis and fibrosis of the mesentery. We presented a 77-year-old man with progressive dyschezia, abdominal pain and mass in left lower quadrant. Computed tomography (CT) exhibited a thickened mesentery, enlarged lymph nodes and strand-like densities around the mesenteric vessels. However, laboratory investigation, colonoscopy and positron emission tomography did not provide any specific results for diagnosis. Because of the exacerbating abdominal pain, partial colectomy was performed and SM was diagnosed based on the pathological changes of mesentery including fat necrosis, multifocal lipid-filled macrophages, lymphocytes and multifocal fibrosis. Although SM is difficult to diagnose and often found by incident, progressive deterioration of abdominal symptoms and general status alteration are indicators of SM. Some typical imaging and pathologic manifestations are also helpful to SM diagnosis. There is no standard treatment for SM. Operation is preferred in those at the stage of fibrosis and particularly combined with intestinal obstruction. Therefore, a multidisciplinary collaboration is essential to diagnose and manage this rare disease, with combined approaches in gastroenterology, colorectal surgery, pathology and radiology.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".