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Record W2346857059 · doi:10.1159/000445303

Osteoclastic-Type Giant Cell Tumours of the Pancreas: A Homogenous Series of Rare Tumours Diagnosed by Endoscopic Ultrasound

2016· article· en· W2346857059 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 · 2016
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMedicinePancreasHistologyGastroenterologyEndoscopic ultrasoundPancreatic cancerGiant cellInternal medicinePathologyCancerRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: Giant cell tumors (GCT) of the pancreas are a rare form of pancreatic cancer. Although data are limited, clinical outcomes appear to depend largely on histological subtype with osteoclastic tumors carrying a better prognosis. We report on a homogenous series of patients with osteoclastic-type GCTs of the pancreas presenting to a national pancreatico-biliary gastrointestinal oncology center. METHODS: Patients underwent endoscopic, radiological and histopathological assessments. Data were collected in relation to consecutive patients presenting with osteoclastic-type tumors of the pancreas and analyzed with survival as a primary end point. RESULTS: Four patients were treated over a 4-year period. Median age was 77 years with equal gender distribution. Median tumor size was 42 mm. Histology was osteoclast-type giant cells in all 4 patients. Two patients underwent surgery with curative intent. Median overall survival was 13.1 months. CONCLUSION: This is the largest reported series of osteoclast-type histology in GCTs of the pancreas.

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)0.000
metaresearch head score (Gemma)0.004
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 score0.029
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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