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Record W2884659863 · doi:10.1136/bcr-2018-225162

Unsuspected Von Hippel-Lindau syndrome in acute-onset resistant hypertension

2018· article· en· W2884659863 on OpenAlexaff
Gavasker A. Sivaskandarajah, Terra Arnason

Bibliographic record

VenueBMJ Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineMetanephrinesPheochromocytomaGermline mutationAldosteroneGenetic testingSecondary hypertensionHeadachesInternal medicinePrimary aldosteronismEndocrinologyEpinephrineAdrenal disorderMutationSurgeryBlood pressureGenetics

Abstract

fetched live from OpenAlex

The discovery of adrenal lesions during routine testing for hypertension requires focused consideration for adrenal overproduction of cortisol, aldosterone or metanephrines. An otherwise healthy 25-year-old woman presented with headaches, diaphoresis and hot flushes with grossly elevated urine catecholamines, normetanephrines and norepinephrine levels, yet normal metanephrines, epinephrine/epinephrine, cortisol and aldosterone levels. Subsequent functional uptake studies and scans identified bilateral adrenal adenomas consistent with phaeochromocytomas. There was no family history of phaeochromocytomas or familial syndromes; however, a targeted genetic analysis for causes of familial phaeochromocytomas identified a heterozygous germline mutation in the VHL gene consistent with Von Hippel-Lindau syndrome. In this case, the identification of the VHL mutation led to careful screening and detection of clinically occult central nervous system hemangioblastomas and pancreatic neuroendocrine tumours. Verified genetic mutations facilitated best practices for long-term surveillance protocols, preconception counselling and screening of blood relatives. The patient responded well to surgical treatment and has ongoing multidisciplinary long-term surveillance.

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)0.000
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 score0.080
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.302
Teacher spread0.277 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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