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A randomized, controlled, phase 3 study of darolutamide in addition to androgen deprivation therapy (ADT) versus ADT alone in metastatic hormone-sensitive prostate cancer (ARANOTE).

2022· article· en· W4212821853 on OpenAlexaff
K.P. Haresh, Egils Vjaters, Daniel Castellano, David Olmos, Neal D. Shore, Liina Nevalaita, Isabella Testa, Christian Kappeler, Iris Kuss, Fred Saad

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineEnzalutamideProstate cancerAndrogen deprivation therapyInternal medicineOncologyDocetaxelAdverse effectPlaceboTolerabilityClinical endpointAbiraterone acetateRandomized controlled trialCancerAndrogen receptorPathology

Abstract

fetched live from OpenAlex

TPS200 Background: Previous randomized, phase 3 trials have shown the efficacy of adding docetaxel, abiraterone acetate, enzalutamide, or apalutamide to ADT in improving overall survival and/or radiologic progression-free survival (rPFS) in patients with metastatic hormone-sensitive prostate cancer (mHSPC). However, these combinations are associated with an increased risk of adverse events (eg, fatigue, rash, and cardiovascular events). Darolutamide is a structurally distinct and highly potent androgen receptor inhibitor. In the ARAMIS study, darolutamide has been shown to significantly reduce the risk of death by 31% and have a favorable safety profile in men with nonmetastatic castration-resistant prostate cancer. It has a low incidence of central nervous system−related adverse events, which may be explained by its distinct low blood−brain barrier penetration. Darolutamide has also been shown to have a low potential for drug−drug interactions, allowing flexibility with concomitant medications. ARANOTE will evaluate the efficacy and safety of darolutamide plus ADT in patients with mHSPC (NCT04736199). Methods: ARANOTE is an international, multicenter (ex-US), randomized, double-blind, placebo-controlled, phase 3 study in patients with histologically or cytologically confirmed adenocarcinoma of the prostate and documented metastatic disease by conventional imaging (eg, computed tomography or magnetic resonance imaging) who started ADT ≤12 weeks before randomization. In total, 555 patients will be randomized 2:1 to darolutamide 600 mg twice daily or placebo, plus ADT. Patients will be stratified by the presence of visceral metastases, assessed by central review, and prior local therapy. Patients will be evaluated every 12 weeks for efficacy, safety, and quality of life (using the FACT-P questionnaire) during treatment and active follow-up post treatment. For long-term follow-up, patients will be contacted by telephone every 12 weeks. The primary endpoint is rPFS; secondary endpoints include overall survival, time to castration-resistant prostate cancer, time to prostate-specific antigen progression, and safety. Recruitment is ongoing, and the first patient first visit was on February 23, 2021. The estimated study completion date is September 2025. Clinical trial information: NCT04736199.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0130.002

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 head0.141
GPT teacher head0.504
Teacher spread0.363 · 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 designRandomized trial
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

Citations3
Published2022
Admission routes1
Has abstractyes

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