Pancreatic Pseudotumor with Sclerosing Pancreato-Cholangitis: Is This a Systemic Disease?
Bibliographic record
Abstract
OBJECTIVE AND METHOD: Primary sclerosing cholangitis (PSC) is a disease that predominantly affects the biliary tree, although the pancreas may also be affected. A review of the presenting features of all patients given a diagnosis of PSC at a single center was conducted. The aim was to clarify the presentation of patients with pseudotumor of the pancreas in this patient population. RESULTS: Seventy-two patients were diagnosed with PSC either by ERCP (63/72 = 88%) or by liver biopsy (9/72 = 12%). The diagnosis of PSC was made following referral for abnormal liver tests (67%), jaundice (17%), and acute cholangitis (5%). Inflammatory bowel disease (IBD) (60%), non-insulin-dependent diabetes mellitus (NIDDM) (13%), thyroid disease (8%), and pancreatic disease (7%) were the major coexistent extrahepatic diseases. Three patients, all with marked weight loss, who presented with jaundice, abdominal pain, and/or diarrhea were found to have a pancreatic mass at first presentation. Clinical and radiological findings suggested pancreatic malignancy, and only later was advanced sclerosing cholangitis identified. The biopsy of the pancreas in two of these three patients revealed chronic pancreatitis. The long-term follow-up and good clinical response to medical therapy confirmed lack of pancreatic malignancy. These three patients all had other evidence of systemic involvement: submandibular gland fibrosis and urethral stricture in one, fibromuscular dysplasia of the renal artery in another, and retroperitoneal fibrosis in the third. None had IBD. CONCLUSION: Pancreatic pseudotumor with sclerosing pancreato-cholangitis may be a manifestation of a systemic disease characterized by nonmalignant strictures and multifocal fibroinflammatory processes, unlike classical PSC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".