Chylous Ascites Associated with Advanced Pancreatic Cancer That Improved with Appropriate Treatment: A Case Report
Bibliographic record
Abstract
Chylous ascites is a rare form of ascites with high triglyceride content arising from the thoracoabdominal lymph nodes in the peritoneal cavity due to various benign or malignant etiologies, including pancreatic cancer. During cancer chemotherapy, the accumulation of ascites can lead to the deterioration of the patient's general condition, making chemotherapy administration difficult, and resulting in a poor prognosis. We encountered a rare case of chylous ascites complicated by advanced pancreatic cancer. The patient presented with a discrepancy between the shrinkage of the pancreatic cancer and the accumulation of ascites. Therefore, we were able to promptly diagnose chylous ascites by performing biochemical tests. The patient was treated with octreotide, reportedly effective in treating chylous ascites, which rapidly improved the chylous ascites and general condition of the patient, allowing the patient to continue chemotherapy for pancreatic cancer. Therefore, physicians should consider the possibility of chylous ascites when clinically unexplained ascites are observed in patients with advanced cancer. The investigation and treatment of chylous ascites should be initiated as soon as possible.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".