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Record W7117448944 · doi:10.36469/001c.151273

Comparison of Prostate-Specific Antigen Response in Black Patients with Metastatic Castration-Sensitive Prostate Cancer Initiated on Apalutamide vs Abiraterone Acetate

2025· article· en· W7117448944 on OpenAlexaff
Gordon Brown, Sabree Burbage, Ibrahim Khilfeh, Carmine Rossi, Shawn Du, Frédéric Kinkead, Lilián Díaz, Dominic Pilon, Benjamin Lowentritt

Bibliographic record

VenueJournal of health economics and outcomes research · 2025
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsAbiraterone acetateProstate cancerAbirateroneProstate-specific antigenAntiandrogenClinical trial

Abstract

fetched live from OpenAlex

Background Improved clinical outcomes have been observed in patients with metastatic castration-sensitive prostate cancer (mCSPC) who experience deep prostate-specific antigen (PSA) responses after treatment with androgen receptor pathway inhibitors (ARPIs). Objective This retrospective longitudinal study aimed to compare real-world PSA90 response (≥90% reduction from pretreatment levels) in Black patients with mCSPC treated with apalutamide vs abiraterone acetate. Methods Electronic medical record (EMR) data from Precision Point Specialty Analytics were linked to claims data from the Komodo Research Database. Black adult patients with mCSPC who initiated apalutamide or abiraterone acetate on or after 9/17/2019 were included. Inverse probability of treatment weighting was used to balance patient characteristics between treatment cohorts. PSA90 was evaluated during the on-treatment period, defined as the time from index date to the earliest of treatment discontinuation, initiation of a new ARPI or radiopharmaceutical, or end of insurance claims activity or clinical activity. Weighted Kaplan-Meier curves and hazard ratios (HRs) were used to compare PSA90 responses between treatment cohorts. Results This study included 363 patients, of which 236 initiated apalutamide and 127 initiated abiraterone acetate. At 6 months following treatment initiation, a greater proportion of patients treated with apalutamide (65.4%) vs abiraterone acetate (49.0%) achieved a PSA90 response. Patients who initiated apalutamide vs abiraterone acetate were 66% more likely to achieve a PSA90 response within 6 months of treatment initiation (HR, 1.66; 95% confidence interval, 1.18-2.35; P = .004). The median time-to-PSA90 response was approximately 6 months earlier for patients treated with apalutamide (3.3 months) compared with abiraterone acetate (9.1 months). Discussion This study leveraged robust information from combined insurance claims and routinely collected EMR data to evaluate PSA90, a clinically relevant biomarker of treatment response, among Black patients with mCSPC. These results are among the first in this understudied patient population and suggest that a deeper and earlier PSA response achieved with apalutamide relative to abiraterone acetate can extend to Black patients in a real-world US clinical setting. Conclusion Black patients treated with apalutamide experienced significantly higher PSA90 response rates than those treated with abiraterone acetate, suggesting possible clinical benefits from early treatment response in this population.

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)0.003
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
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 head0.119
GPT teacher head0.460
Teacher spread0.341 · 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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