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Pancreas Divisum: A Study of the Cadaveric Donor Pancreas for Islet Isolation

2005· article· en· W2005941020 on OpenAlexaff
Tatsuya Kin, A.M. James Shapiro, Jonathan R. T. Lakey

Bibliographic record

VenuePancreas · 2005
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of AlbertaCapital District Health Authority
Fundersnot available
KeywordsPancreas divisumMedicinePancreasGastroenterologyInternal medicinePancreatic duct

Abstract

fetched live from OpenAlex

OBJECTIVES: Pancreas divisum, the most frequent congenital variant of pancreatic ductal configuration, might impair intraductal delivery of enzyme for islet isolation. We investigated the frequency of pancreas divisum and its effect on the digestion process in islet isolation. METHODS: Two catheters were placed into the main duct in opposite directions following dissection of the duct in the mid-body of cadaveric donor pancreata. When the majority of outflow was observed through the Santorini orifice by injecting solution through the catheter toward head, a diagnosis of pancreas divisum was made. RESULTS: Twenty-eight cases of a total of 127 pancreata evaluated were described as having pancreas divisum. There were no significant differences in donor demographics, donor instability, pancreas weight, or undigested tissue weight between donors with and without pancreas divisum. In the 28 cases of pancreas divisum, there was moreover no observable difference in the quality of distention between the ventral and dorsal pancreas. Islet yield after digestion was comparable between cases with and without pancreas divisum. CONCLUSION: We found that Santorini's duct was the major drainage route of the pancreas in 22% of individuals. Pancreas divisum did not have a negative impact on the digestion process and outcome of islet isolation.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.270
Teacher spread0.250 · 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 designObservational
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

Citations36
Published2005
Admission routes1
Has abstractyes

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