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Antiglucocoticoid Treatments for Depression

2006· review· en· W2131242154 on OpenAlexaff
Allan H. Young

Bibliographic record

VenueAustralian & New Zealand Journal of Psychiatry · 2006
Typereview
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNeurocognitiveDepression (economics)Glucocorticoid receptorGlucocorticoidMedicinePsychologyNeuroscienceDepressive symptomsClinical psychologyInternal medicineCognition

Abstract

fetched live from OpenAlex

OBJECTIVE: To selectively review the literature germane to antiglucocoticoid treatments for depression. METHOD: Selective review of the relevant literature. RESULTS: Dysfunction of the hypothalamic-pituitary-adrenal (HPA) axis has been well-described in both bipolar and unipolar depression. Hypercortisolaemia, possibly secondary to breakdown in glucocorticoid-receptor-mediated negative feedback mechanisms within the HPA axis, may be central to the pathogenesis of both depressive symptoms and the neurocognitive deficits which characterize these disorders. Strategies to counteract the effects of elevated cortisol, which may potentially restore HPA axis integrity, have been the focus of recent research. CONCLUSIONS: Both preclinical and clinical studies report encouraging results which suggest that lowering circulating cortisol levels or blocking the effects of elevated cortisol with antagonists, which may up-regulate glucocorticoid receptors, has therapeutic benefits in terms of improvements in depressive symptoms and some domains of neurocognitive function.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.070
GPT teacher head0.371
Teacher spread0.301 · 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.

Study designNot applicable
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

Citations36
Published2006
Admission routes1
Has abstractyes

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