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Randomised phase 3 trial of enzalutamide in first-line androgen deprivation therapy for metastatic prostate cancer: The ANZUP ENZAMET Trial (ANZUP 1304).

2016· article· en· W2786647130 on OpenAlexaffabout
Ian D. Davis, Martin R. Stockler, Andrew Martin, Wendy Hague, Xanthi Coskinas, Sonia Yip, Emily Tu, Nicola Jane Lawrence, Howard Chan, Ray McDermott, Simon Chowdhury, Vittorio Marchesin, Olwyn Deignan, Francisco Vera-Badillo, Scott North, Alexander Montenegro, Christopher J. Sweeney

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineEnzalutamideProstate cancerDocetaxelAndrogen deprivation therapyOncologyInternal medicineHazard ratioClinical endpointCancerClinical trialAndrogen receptorConfidence interval

Abstract

fetched live from OpenAlex

TPS5090 Background: Androgen deprivation therapy (ADT) is widely used as initial treatment for hormone-naive, metastatic prostate cancer (PC). Meta-analysis of RCTs showed a 3% absolute improvement in 5 year survival with the addition of non-steroidal anti androgen (NSAA) to ADT. Residual, low level androgen receptor (AR) signalling or agonist activity from conventional NSAA may provide a stimulatory signal to hormone-sensitive PC cells. We hypothesize that the early use of enzalutamide, a more potent and effective AR blocker, will reduce residual AR signalling and improve survival. The aim is to determine whether ADT + enzalutamide improves overall survival (OS) compared to ADT + conventional NSAA in M1 castrate-naïve PC. Methods: DESIGN: open label, randomised, phase 3 trial including ANZ, Canada, UK, Ireland and USA. ELIGIBILITY: metastatic PC starting first line ADT. STRATIFICATION: volume of disease, anti-resorptive therapy, comorbidities, planned early docetaxel use, study site. ENDPOINTS: OS (primary), PSA and clinical progression free survival (PFS), health related quality of life, adverse events and cost-effectiveness. Tertiary correlative objectives: identification of prognostic/predictive biomarkers from archival tumour tissue and fasting bloods collected at baseline, week 24 and progression. 1100 target participants + 3.5 years minimum follow-up for 80% power to detect a 25% reduction in the hazard of death assuming an OS rate at 3 years of 65% in control group. TREATMENT: medical or surgical castration plus either enzalutamide 160mg daily orally, or conventional oral NSAA until disease progression or prohibitive toxicity. Early docetaxel at investigator discretion. ASSESSMENTS: baseline, days 29 and 85 then 12 weekly until clinical progression; imaging prior to randomisation and on progression (PSA and clinical). 70 sites open with total accrual of 444 participants on 19th January 2016. ENZAMET is an international investigator-initiated cooperative group trial led by ANZUP Cancer Trials Group with funding from Astellas. ANZCTR: ACTRN12614000110684 Clinical trial information: NCT02446405.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.229
GPT teacher head0.537
Teacher spread0.308 · 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

Citations2
Published2016
Admission routes2
Has abstractyes

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