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Record W2001708254 · doi:10.1136/bcr-2013-202259

Surgical therapy of a large pancreatic solid-pseudopapillary neoplasm during pregnancy

2014· article· en· W2001708254 on OpenAlex
Frank MacDonald, Valerie Keough, Weei-Yuan Huang, Michele Molinari

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

VenueBMJ Case Reports · 2014
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineAsymptomaticSplenectomyGestationPregnancyCholecystectomyPancreasSurgeryPancreatectomyFetusSurgical resectionResectionInternal medicineSpleen

Abstract

fetched live from OpenAlex

Solid-pseudopapillary neoplasms (SPNs) of the exocrine pancreas are rare, accounting for only 2% of pancreatic tumours. These tumours predominantly affect women during the second and third decades of life. They frequently present with vague symptoms and can pose a diagnostic challenge. Surgical resection remains the treatment of choice that can cure up to 95% of patients when negative resection margins are obtained. SPNs diagnosed during pregnancy are exceptional and with profound implications on the mother and fetus. The authors present a case of an asymptomatic SPN in a 24-year-old woman diagnosed at 14 weeks of gestation on a routine prenatal ultrasound. Distal pancreatectomy, splenectomy and cholecystectomy were successfully performed at 18 weeks of gestation. A healthy full-term male child was born 5 months following surgery without complications.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.582

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 head0.030
GPT teacher head0.372
Teacher spread0.343 · 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