MétaCan
Menu
← Back to cohort

Clinical outcomes in Caucasian (C), African American (AA) and Asian men with metastatic castration-resistant prostate cancer (mCRPC).

2019· article· en· W2921079290 on OpenAlexaff
Susan Halabi, Sandipan Dutta, Kim N., Catherine M. Tangen, Daniel P. Petrylak, John C. Araujo, Karim Fizazi, David I. Quinn, Celestia S. Higano, Ian F. Tannock, Eric J. Small, William Kevin Kelly

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoBC Cancer Agency
Fundersnot available
KeywordsMedicineInternal medicineHazard ratioProstate cancerRegimenDocetaxelOncologyPrednisoneAbiraterone acetateProgression-free survivalProportional hazards modelCancerAndrogen deprivation therapyChemotherapyConfidence interval

Abstract

fetched live from OpenAlex

186 Background: We have previously shown in multivariable analysis that African American (AA) men had 19% lower risk of death than Caucasian (C) men with metastatic castration resistant prostate cancer (mCRPC) treated with a docetaxel (D) prednisone (P) based regimen. The primary goal of this analysis was to compare progression-free survival (PFS) and PSA PFS in C men, AA men, and Asian men with mCRPC treated with a DP based regimen. Methods: Individual patient data from 8,820 mCRPC men randomized on nine phase III trials to a DP containing regimen were combined. Race used in the analysis was based on self-report. The endpoints were PFS and PSA PFS. Per protocol definition of PFS was used in the analysis while PSA PFS was defined per PCWG3 criteria. The proportional hazards model was used to assess the prognostic importance of race in predicting PFS and PSA PFS, adjusting for treatment arm and prognostic factors that were common across the trials (performance status, and sites of metastases). Results: Of 8,820 patients, 7,528 (85%) were C, 500 (6%) were AA, 424 (5%) were Asian and 368 (4%) had race unspecified. Men with race unspecified were excluded from the analysis, leaving 8,452 men. Median PFS was 8.3 months (m) (95% CI = 8.1-8.5), 8.2 m (95% CI = 7.4-8.8), and 8.3 m (95% CI = 7.6-8.8) in C, AA and Asian men, respectively. In multivariable analysis adjusting for risk factors, the pooled hazard ratios for AA vs. C was 1.04 (95% CI = 0.94-1.15, p-value = 0.461) and 1.08 (95% CI = 0.96-1.21, p-value = 0.192) for Asian vs. C. PSA data were available for 6,685 (89%) C, 456 (91%) AA and 412 (97%) Asian men. Median PSA PFS were 9.7 m (95% CI = 9.4-10), 8.5 m (95% CI = 7.6-10) and 10.0 m (95% CI = 9.5-11.8) in C, AA and Asian, respectively. In multivariable analysis, the pooled hazard ratios were 1.05 (95% CI = 0.94-1.16, p-value = 0.408) for AA vs. C and 1.00 (95% CI = 0.82-1.22, p-value = 0.996) for Asian vs. C. Conclusions: There were no differences in PFS and PSA PFS outcomes in C, AA, or Asian men with mCRPC enrolled on these phase III clinical trials with DP. Clinical trial information: NCT00004001.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.106
GPT teacher head0.508
Teacher spread0.402 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

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