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Record W4394581795 · doi:10.7759/cureus.57852

A Case Report of Bilateral Adrenal Gland Stereotactic Body Radiotherapy to Manage Hypercortisolemia in a Patient With Ectopic Adrenocorticotropic Hormone (ACTH) Production From a Metastatic Pancreatic Neuroendocrine Tumor

2024· article· en· W4394581795 on OpenAlexaff
Said Al Saifi, Irena Druce, Michael M. Vickers, Kristopher Dennis

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineHypercortisolemiaAdrenocorticotropic hormoneCushing syndromeInternal medicineMetyraponeEndocrinologyRadiologyGastroenterologyHydrocortisoneHormone

Abstract

fetched live from OpenAlex

A 63-year-old woman presented with hypokalemia, hypertension, weight gain, limb edema, and tremors. She was diagnosed with Cushing syndrome, with a 24-hour urine cortisol level of 41,013 nmol/day. Investigations revealed a grade 2 pancreatic neuroendocrine tumor with extensive hepatic metastases. Owing to excessive adrenocorticotropic hormone production from her disease, her hypercortisolemia and Cushing symptoms worsened despite ketoconazole, somatostatin analogs, and right liver lobe chemoembolization. Stereotactic body radiotherapy (SBRT) at a dose of 39 Gy in three fractions was administered to her bilateral adrenal glands in the hope of reducing her cortisol levels and improving her symptoms. Her 24-hour urine cortisol levels decreased following SBRT, but not rapidly enough; her clinical condition continued to deteriorate, and she died 21 days after treatment. SBRT was not effective as an urgent intervention in this setting; a greater latency to realize a response is likely necessary.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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 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
Published2024
Admission routes1
Has abstractyes

Explore more

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