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Record W3154962667 · doi:10.1136/bcr-2021-241724

Successful multidisciplinary treatment of Doege-Potter syndrome: hypoglycaemia caused by paraneoplastic IGF-2 production by a metastatic haemangiopericytoma

2021· article· en· W3154962667 on OpenAlexaff
Jeffery Tong, Jonathan Athayde, Shawn MacKenzie, Meghan Ho

Bibliographic record

VenueBMJ Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDebulkingMalignancyComplicationHemangiopericytomaRare diseaseSolitary fibrous tumorSurgeryRefractory (planetary science)DiseaseRadiologyCancerInternal medicineCD34Ovarian cancer

Abstract

fetched live from OpenAlex

Hypoglycaemia due to insulin-like growth factor (IGF)-2 secretion is a paraneoplastic complication of malignancy with significant morbidity that can often go unrecognised due to its uncommon presentation. We report on a case of a 51-year-old man with metastatic haemangiopericytoma presenting with refractory hypoglycaemia, requiring continuous dextrose 10% infusion while in hospital. IGF-2 levels were significantly elevated, in keeping with a rare entity associated with solitary fibrous tumours, known as Doege-Potter syndrome. The patient was managed using uncooked cornstarch in conjunction with debulking of the hepatic tumour burden with bland IR-guided transarterial embolisation, and eventual surgical resection to treat his non-islet cell tumour hypoglycaemia (NICTH). The case highlights this rare paraneoplastic phenomenon that should be included in the differential for hypoglycaemia, especially if a history of a solitary fibrous tumour is elicited. Our case is the first to document a successful approach to treating the hypoglycaemia using preoperative transarterial bland embolisation.

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 categoriesMeta-epidemiology (narrow)
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 score0.051
Threshold uncertainty score1.000

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 head0.026
GPT teacher head0.321
Teacher spread0.295 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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