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What should be done in an operating room when an insulinoma cannot be found?

2009· article· en· W2013889051 on OpenAlexaff
Nassir Rostambeigi, Geoffrey B. Thompson

Bibliographic record

VenueClinical Endocrinology · 2009
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
Fundersnot available
KeywordsInsulinomaMedicineHyperinsulinismResectionPancreasLesionIsletPancreatectomyInsulinInternal medicineRadiologySurgeryInsulin resistance

Abstract

fetched live from OpenAlex

Insulinoma is the most common (functioning) islet cell tumour of the pancreas and is highly curable with accurate localization and precise extirpation of the often benign, solitary lesion. Although previous reports describe high success rates without pre-operative localization, more recent recognition of the overlap among causes of endogenous hyperinsulinism, coupled with the deleterious long-term effects of blind distal pancreatectomy and re-operation, mandate the need for precise pre-operative localization or regionalization of the tumour(s). If these criteria have not been met and the surgeon finds him/herself in the operating room without a localized or regionalized tumour, the operation should be concluded without resection, the diagnosis reconfirmed, and a calcium stimulation test performed. At experienced centres, this can be often carried out within 24-48 h and the patient returned to the operating room for a gradient-guided resection. Intraoperative venous sampling for insulin might be an option in the future but its accuracy has not been validated in sufficient numbers of patients to date.

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)0.004
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0040.008
Open science0.0020.001
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0090.007

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 head0.209
GPT teacher head0.482
Teacher spread0.273 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations52
Published2009
Admission routes1
Has abstractyes

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