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What is the Value of the 60 Minute Cortisol Measurement in the Short Synacthen Test (SST)? Evidence for the Defence

2021· preprint· en· W4243446309 on OpenAlexaff
Maria Michaelidou, Ghasem Yadegarfar, Lauren Morris, Samantha Dolan, Adam Robinson, Asma Naseem, Mark Livingston, Christopher J. Duff, Anthony A. Fryer, Peter Trainer, Adrian Heald

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsChristie (Canada)Health Sciences Centre
Fundersnot available
KeywordsTest (biology)HydrocortisoneSample (material)Value (mathematics)MedicineInternal medicineStatisticsBiologyMathematicsChemistry

Abstract

fetched live from OpenAlex

The Short Synacthen Test is the way that we most often determine whether people's adrenal glands are working. We here have shown that an extra blood sample taken at 60 minutes post Synacthen vs a 30 minute sample alone, may make the test more effective at excluding those people who do not need to go on hydrocortisone supplementation or need further evaluation.

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)0.025
metaresearch head score (Gemma)0.117
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.117
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0010.005
Scholarly communication0.0040.006
Open science0.0030.001
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0050.003

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 head0.140
GPT teacher head0.344
Teacher spread0.204 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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