MétaCan
Menu
← Back to cohort

Approach to treatment of metastatic hormone-sensitive prostate (mHSPC) cancer among cooperative oncology groups (CCTG, SWOG, and Alliance) in North America.

2025· article· en· W4407698997 on OpenAlexaffabout
Cameron Chalker, Michael Ong, Rana R. McKay, Catherine M. Tangen, Shuchi Gulati, Seth P. Lerner, Tanya B. Dorff, Alexandra Sokolova

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineOncologyInternal medicineProstate cancerOverall survivalCancer

Abstract

fetched live from OpenAlex

263 Background: Randomized clinical trials have demonstrated the efficacy of both doublet (androgen deprivation therapy (ADT) + androgen receptor pathway inhibitor (ARPi)) and triplet (ADT + ARPi + docetaxel) regimens in the treatment of mHSPC. However, the optimal clinical setting for each approach remains unclear. We surveyed genitourinary oncologists to identify their practice patterns with respect to systemic therapy for mHSPC. Methods: A 13-question survey was distributed to clinicians associated with the Canadian Clinical Trials Group (CCTG), SWOG, and Alliance for Clinical Trials in Oncology between March 2024 and June 2024. We collected data on clinician specialty, practice setting, location, years of clinical experience, and approach to management for patients with mHSPC. Results: 542 responses were solicited, and 104 (19%) surveys were completed. 24 respondents were from Canada (CCTG) and 80 were from the United States (47 SWOG, 33 Alliance). 88% (92/104) respondents indicated that less than 50% of their mHSPC patients are started on triplet therapy (Table). The most important factors when considering the use of doublet vs. triple therapy were volume of disease (88/104, 85%) and patient comorbidities (82/104, 79%). Physicians favored triplet therapy in high volume, de novo (95/104, 91%) or recurrent (70/104, 67%) disease, but not in low volume, de novo (2/104, 2%) or recurrent (2/104, 2%) disease. The greatest barriers to triplet therapy were toxicity concerns (75/104, 72%) and patient factors (66/104, 63%). In the scenario where prostate specific antigen (PSA) remained at 4 ng/ml after 6 months of doublet therapy, 77% (80/104) would not make any changes, while 23% (24/104) could consider additional intensification strategies, including clinical trial enrollment. In the scenario where PSA was undetectable after two years on doublet therapy, 63% (65/104) would continue therapy without de-escalation, while 37% (38/104) would consider deintensification, and 1 declined to answer. Responses were concordant between American and Canadian participants. Conclusions: North American genitourinary oncologists consider disease volume, patient comorbidities, and toxicity when opting for doublet vs. triplet therapy, and feel there is a role to explore PSA-based de/intensification strategies in future clinical trials. Alliance (n = 33) SWOG (n = 47) CCTG (n = 24) Total (n = 104, %) Specialty Medical Oncology 32 39 24 95 (91%) Radiation Oncology 0 4 0 4 (4%) Surgical Oncology 0 3 0 3 (3%) Other 1 1 0 2 (2%) Practice setting Academic 31 41 24 96 (92%) Private 0 1 0 1 (1%) Other 2 5 0 7 (7%) Years from fellowship <5 years 11 8 6 25 (24%) 5-10 years 6 10 5 21 (20%) 10-20 years 8 15 9 32 (31%) >20 years 8 13 4 25 (24%) Other / Skipped 0 1 0 1 (1%) Percent of patients offered triplet therapy <10% 9 14 8 31 (30%) 11-30% 12 20 13 45 (43%)

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.122
GPT teacher head0.484
Teacher spread0.361 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicProstate Cancer Treatment and Research→French-language works237,207→