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Record W3040183459 · doi:10.1007/s00268-020-05663-3

Multifocal Small Bowel Neuroendocrine Tumours

2020· article· en· W3040183459 on OpenAlexaff
Janice L. Pasieka

Bibliographic record

VenueWorld Journal of Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineEtiologyDiseaseVascular surgeryAbdominal surgeryCardiothoracic surgeryIncidence (geometry)Rare diseasePathologySurgeryCardiac surgery

Abstract

fetched live from OpenAlex

In contemporary surgical series, the incidence of multifocal tumours (MFT) in small bowel neuroendrocrine tumours (SBNET) is as high as 50%. Familial forms of SBNET appear to have an even higher rate of MFTs in the range of 80%. Multifocal disease poses several challenges and questions for the operating surgeon, including the cause of the disease whether it is local metastases or a genetic field defect, the extent of the resection, and the prognosis. The etiology of these multiple tumours appears to be multifactorial and may represent localized metastases in some, a genetic mutation resulting in the rare familial form of this disease in others, or the integration of genetic and epigenetic events within the bowel. Contrary to historical series, recent data suggest that MFT are not associated with a poorer prognosis. The challenge remains on the long-term surveillance of these unique tumours.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.312
Teacher spread0.238 · 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 teacher head, 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

Citations3
Published2020
Admission routes1
Has abstractyes

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