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Record W3105373962 · doi:10.1136/bcr-2020-236659

Management of refractory hypoglycaemia in a metastatic neuroendocrine tumour co-secreting serotonin and insulin

2020· article· en· W3105373962 on OpenAlexaff
Justin S Bhullar, Joseph Leung, Mohammed Almehthel

Bibliographic record

VenueBMJ Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineInsulinNeuroendocrine tumorsCarcinoid syndromeRefractory (planetary science)SerotoninDiseaseInternal medicineOncologyReceptorBiology

Abstract

fetched live from OpenAlex

A 27-year-old otherwise healthy man of African descent presented to the hospital with initial symptoms of carcinoid syndrome that later evolved into symptoms of hyperinsulinemic hypoglycaemia. Investigations revealed a metastatic neuroendocrine tumour (NET), co-secreting both serotonin and insulin. Management involved a multimodal approach in an attempt to reduce tumour burden and achieve euglycaemia, which proved to be a significant challenge in the face of refractory hypoglycaemia despite the administration of multiple prohyperglycaemic agents in combination. Unfortunately, given the burden of metastatic disease and multiple medical complications that ensued, the patient passed away. This case highlights the clinical history of a NET co-secreting serotonin and insulin, the use of combination therapy in the treatment of refractory hypoglycaemia in a metastatic insulin-producing tumour and emerging therapeutic modalities in the treatment of these rare malignancies.

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)0.001
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 score0.016
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.044
GPT teacher head0.364
Teacher spread0.320 · 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 designCase report
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

Citations1
Published2020
Admission routes1
Has abstractyes

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