MétaCan
Menu
Back to cohort
Record W2019700091 · doi:10.1159/000279811

A Novel Technique for the Management of Pancreaticojejunal Anastomosis Dehiscence following Pancreaticoduodenectomy

2010· article· en· W2019700091 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDigestive Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMedicinePancreaticoduodenectomyAnastomosisDehiscenceSurgeryPancreatic ductBowel functionPancreasPancreatectomyGeneral surgeryInternal medicineResectionPancreatitis

Abstract

fetched live from OpenAlex

BACKGROUND: To report a novel technique for management of pancreaticojejunal anastomosis dehiscence after pancreaticoduodenectomy. MATERIAL AND METHODS: The anastomosis is disconnected and the blind jejunal limb is shortened and closed. A silicon tube in the pancreatic duct introduced in the first operation is fixed at the pancreatic stump. If no tube was placed during pancreaticoduodenectomy, it is placed at reoperation. The transected edge of the pancreas is stitched, and the distal part of the silicon tube is inserted into the jejunal loop and fixed in the jejunal wall. Drains and a catheter for continuous irrigation are placed. RESULTS: All patients tolerated reoperation and experienced unremarkable postoperative courses. Follow-up ranged from 5 to 27 months, and all patients exhibited normal pancreatic function and no pseudocyst formation. CONCLUSION: This technique is an effective method for management of pancreaticojejunal anastomosis dehiscence that avoids complications associated with completion pancreatectomy and preserves pancreatic function.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.077
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.335
Teacher spread0.296 · 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