Idiopathic mesenteric phlebosclerosis associated with long-term use of medical liquor: Two case reports and literature review
Bibliographic record
Abstract
A 62-year-old woman was admitted to our hospital in 2011 because of recurrent abdominal pain, nausea and constipation for six months. Computed tomography enterography (CTE) showed tortuous thread-like calcifications in the ileocolic vein and right colic vein, while colonoscopy revealed purple-blue mucosa extending from the cecum to the splenic flexure. Based on the results of these tests, the patient was diagnosed with idiopathic mesenteric phlebosclerosis (IMP). She had a history of Chinese medical liquor intake for one and a half years and her symptoms subsided after conservative treatment. In 2013, a 63-year-old male patient who presented with recurrent lower right abdominal pain, bloating, melena and diarrhea for fifteen months was admitted to our institution. Colonoscopy and CTE led to the diagnosis of IMP. He also used Chinese medical liquor for approximately 12 years. The patient underwent total colectomy and the postoperative course was uneventful. We searched for previously published reports on similar cases and analyzed the clinical data of 50 cases identified in PubMed. As some of these patients admitted use of Chinese medicines, we hypothesize that Chinese medicines may play a role in the pathogenesis of IMP.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".