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Record W4365450907 · doi:10.1016/j.urolonc.2023.03.003

Attainment of early, deep prostate-specific antigen response in metastatic castration-sensitive prostate cancer: A comparison of patients initiated on apalutamide or enzalutamide

2023· article· en· W4365450907 on OpenAlexaff
Benjamin Lowentritt, Dominic Pilon, Ibrahim Khilfeh, Carmine Rossi, Erik Muser, Frédéric Kinkead, Dexter Waters, Lorie Ellis, Patrick Lefèbvre, Gordon Brown

Bibliographic record

VenueUrologic Oncology Seminars and Original Investigations · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsGroup for Research in Decision Analysis
FundersJanssen Scientific Affairs
KeywordsEnzalutamideProstate cancerMedicineUrologyOncologyProstate-specific antigenInternal medicineProportional hazards modelHazard ratioCancerAndrogen receptorConfidence interval

Abstract

fetched live from OpenAlex

• Prostate-specific antigen reduction ≥90% (PSA90) is important in metastatic castration sensitive prostate cancer (mCSPC) prognosis • This real-world study compared PSA90 among patients with mCSPC initiating apalutamide or enzalutamide • Patients treated with apalutamide were more likely to attain PSA90 than those treated with enzalutamide • Treatment with apalutamide was also associated with a faster time to PSA90 than enzalutamide • Findings may be clinically important given the association between PSA90 and survival outcomes in patients with mCSPC Deep prostate-specific antigen (PSA) response, defined as a ≥90% decline in PSA (PSA90), is an important early response indicator for achieving radiographic progression-free and overall survival in patients with metastatic castration-sensitive prostate cancer (mCSPC) treated with a next-generation androgen signaling inhibitor (ASI), such as apalutamide or enzalutamide. The objective of this study was to compare deep PSA response among patients with mCSPC newly initiated on apalutamide or enzalutamide. Clinical data from 69 community urology practices in the United States were evaluated. Patients with mCSPC were classified into cohorts based on their first dispensation (index date) for apalutamide or enzalutamide and were followed until the earliest of treatment discontinuation, initiation of a new next-generation androgen receptor signaling inhibitor, end of clinical activity (including death), or end of data availability (03/05/2021). Inverse probability of treatment weights (IPTW) were used to reduce baseline confounding. PSA90 was defined as the earliest ≥90% PSA decline relative to baseline PSA. The proportion of patients achieving PSA90 and time to PSA90 were reported using weighted Kaplan-Meier analysis and weighted Cox proportional hazards models, respectively. The apalutamide and enzalutamide cohorts comprised 186 and 165 patients, respectively. Patient characteristics were generally well balanced after IPTW. By 6 months, patients initiated on apalutamide had a 56% greater likelihood of attaining PSA90 than those initiated on enzalutamide ( P = 0.014). This result remained significant through the end of the observation period. The median time to achieving PSA90 was 3.1 months with apalutamide and 5.2 months with enzalutamide. This real-world study demonstrated that apalutamide initiation is associated with a significantly higher likelihood of achieving ≥90% reduction in PSA as compared to initiation of enzalutamide. Moreover, this deep PSA response was observed to occur earlier with apalutamide treatment than with enzalutamide.

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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.099
GPT teacher head0.401
Teacher spread0.302 · 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

Citations25
Published2023
Admission routes1
Has abstractyes

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