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Record W4237809741 · doi:10.14740/jem366w

The Caveats of Corticotropin Stimulation Test in Diagnosing Secondary Adrenal Insufficiency: Case Reports and Literature Review

2016· article· en· W4237809741 on OpenAlexvenueno aff
Ekaterina Manuylova, Laura M. Calvi, Catherine Hastings, G. Edward Vates, Maryanne Stahlecker-Etter, Kenneth Foxx, Ismat Shafiq

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2016
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
FundersUniversity of Rochester
KeywordsMedicineAdrenal insufficiencyDiscontinuationGlucocorticoidStimulationPituitary disorderHormone replacementInternal medicineSurgeryHormone

Abstract

fetched live from OpenAlex

Corticotropin stimulation test (CST) is commonly used to diagnose secondary adrenal insufficiency. We present two patients who underwent transsphenoidal pituitary surgery for pituitary macroadenoma. Both patients had additional pituitary hormone deficiencies before and after the surgery. The patients were maintained on glucocorticoid (GC) replacement for at least 3 months after the surgery. In the remote follow-up period, they underwent conventional CST with resultant cortisol levels above 18 ug/dL. This led to discontinuation of GC treatment. Few months later, both patients developed clinically evident adrenal insufficiency. Providers should be cautious interpreting the results of CST in patients with pituitary disorders. The 250-ug CST with standard cortisol cutoff has low sensitivity and can give falsely reassuring results. Thus, it is prudent to use a higher cortisol threshold to define intact hypothalamic-pituitary-adrenal axis. J Endocrinol Metab. 2016;6(5):154-157 doi: http://dx.doi.org/10.14740/jem366w

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.006
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.279
Teacher spread0.268 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2016
Admission routes1
Has abstractyes

Explore more

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