MétaCan
Menu
Back to cohort

Degarelix for the treatment of prostate cancer

2009· review· en· W1988535187 on OpenAlexaff
Laurence Klotz

Bibliographic record

VenueDrugs of today · 2009
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineProstate cancerTestosterone (patch)CastrationAndrogen deprivation therapyGonadotropin-releasing hormoneHormone antagonistProstateManagement of prostate cancerOrchiectomyHormoneInternal medicineUrologyOncologyCancerEndocrine systemLuteinizing hormone

Abstract

fetched live from OpenAlex

Pharmacological methods of achieving androgen deprivation for the treatment of prostate cancer have evolved. New strategies are focusing on avoidance of the undesirable effects of testosterone surges or flares associated with the initial stages of gonadotropin-releasing hormone (GnRH) agonists and the significant histamine-mediated side effects that can be associated with GnRH antagonists. Degarelix acetate (Firmagon; Ferring Pharmaceuticals) is a third-generation GnRH antagonist that has been shown to produce a significantly more rapid medical castration (without testosterone surge) and prostate-specific antigen response compared with GnRH agonists. The safety profile is comparable to GnRH agonists and anaphylactic reactions have not been reported. Degarelix is currently available as a 1-month subcutaneous injection and has been approved for the treatment of advanced prostate cancer.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.005

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 head0.068
GPT teacher head0.418
Teacher spread0.349 · 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 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

Citations11
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueDrugs of todaySame topicProstate Cancer Treatment and ResearchFrench-language works237,207