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Record W4411006375 · doi:10.33844/cjm.2025.6047

Fistulising Pancreatic Mucinous Cystic Neoplasm to the Portal Vein

2025· article· en· W4411006375 on OpenAlexaffvenue
Stéphanie Tan, Ciara O Brien

Bibliographic record

VenueCanadian Journal of Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsIntraductal papillary mucinous neoplasmMedicinePancreasPortal veinRadiologyGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Mucinous Cystic Neoplasms (MCNs) of the pancreas are rare, typically affecting women and carrying potential for malignant transformation. While complications like fistulas between MCNs and adjacent structures are rarely reported, this case presents the first documented fistula between a pancreatic MCN and the portal venous system. A 56-year-old woman with acute abdominal pain was found to have a 10.4 cm cystic mass in the pancreatic tail, consistent with an MCN. The lesion exhibited high-risk features. During her admission, a progressive venous filling defect, presumed to be a thrombus, developed despite anticoagulation therapy. Percutaneous thrombectomy revealed a communication between the splenic vein and the cystic mass, with mucinous content aspirated, confirming a fistula with direct extension of mucin into the vein. Distal pancreatectomy confirmed the diagnosis of an MCN with high-grade dysplasia and ovarian-like stroma. This case highlights the rare occurrence of a fistula between a pancreatic MCN and the portal venous system, underscoring the importance of early recognition for proper treatment and surgical planning.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.022
GPT teacher head0.324
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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