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Record W2765326879 · doi:10.1530/edm-17-0108

Massive adrenal incidentalomas and late diagnosis of congenital adrenal hyperplasia in prostate cancer

2017· article· en· W2765326879 on OpenAlexaff
Xin Feng, Gregory Kline

Bibliographic record

VenueEndocrinology Diabetes and Metabolism Case Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCongenital adrenal hyperplasiaMedicineProstate cancerAndrogen deprivation therapyInternal medicineAdrenal adenomaMyelolipomaAdrenal crisisTestosterone (patch)FludrocortisoneUrologyEndocrinologyCancerAdenomaHydrocortisoneAdrenal gland

Abstract

fetched live from OpenAlex

Summary In a 61-year-old Caucasian male with prostate cancer, leuprolide and bicalutamide failed to suppress the androgens. He presented to endocrinology with persistently normal testosterone and incidental massive (up to 18 cm) bilateral adrenal myelolipomas on CT scan. Blood test did not reveal metanephrine excess. The patient was noted to have short stature (151 cm) and primary infertility. Elementary school photographs demonstrated precocious puberty. Physical examination revealed palpable abdominal (adrenal) masses. Abiraterone and glucocorticoid treatment was commenced with excellent suppression of testosterone. Genetic testing revealed a mutation in CYP21A2 confirming 21-hydroxylase-deficient congenital adrenal hyperplasia (CAH). Association of large myelolipomas with CAH has been reported in the literature. Our case highlights the importance of considering CAH in patients with non-suppressed testosterone despite androgen deprivation therapy. Large myelolipomas should raise the suspicion of congenital adrenal hyperplasia. Learning points:

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.275
Teacher spread0.264 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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