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Patient-reported outcomes (PROs) in KEYNOTE-921: Pembrolizumab (pembro) plus docetaxel for patients (pts) with metastatic castration-resistant prostate cancer (mCRPC).

2023· article· en· W4324136759 on OpenAlexaff
Daniel P. Petrylak, Raffaele Ratta, Nobuaki Matsubara, Ernesto Korbenfeld, Rustem Gafanov, Loı̈c Mourey, Tilman Todenhöfer, Howard Gurney, Gero Kramer, Andries M. Bergman, Paweł Zalewski, Maria De Santis, Andrew J. Armstrong, Winald R. Gerritsen, Russell K. Pachynski, Todd L. Saretsky, Sameer R. Ghate, Xin Tong Li, Charles Schloss, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsLakeridge Health
Fundersnot available
KeywordsDocetaxelMedicinePlaceboProstate cancerRandomizationPopulationInternal medicineUrologyGynecologyOncologyCancerClinical trialAlternative medicine

Abstract

fetched live from OpenAlex

129 Background: The double-blind, phase 3, randomized KEYNOTE-921 trial (NCT03834506) showed that pembro + docetaxel did not significantly improve rPFS or OS for pts with mCRPC treated with prior next-generation hormonal agent (NHA) therapy. We present PROs for pembro + docetaxel vs placebo + docetaxel in KEYNOTE-921. Methods: Pts were randomly assigned 1:1 to receive pembro 200 mg or placebo IV Q3W (≤35 cycles) + docetaxel 75 mg/m2 IV Q3W (≤10 cycles) and prednisone 5 mg orally BID. PROs were evaluated in pts who received ≥1 dose of study treatment and had ≥1 PRO assessment. FACT-P and BPI-SF were administered at baseline, Q3W until wk 24, Q6W until wk 72, then Q12W for ≤2 y. A prespecified secondary end point was time to pain progression (TTPP) based on BPI-SF. Prespecified exploratory end points included least squares mean (LSM) change from baseline to wk 27 for FACT-P total and subscale scores (FACT-G total, TOI, FAPSI-6, FWB, PWB, and PCS) and wk 24 for BPI-SF scores (pain interference, pain severity, and worst pain), and time to deterioration (TTD) and overall improvement rate in FACT-P total and subscale scores. Differences were evaluated using 2-sided nominal P values not controlled for multiplicity. Results: Of 1030 pts enrolled, the PRO analysis population included 1028 (n = 514 in each arm). At the prespecified final analysis, median time from randomization to data cutoff of June 20, 2022, was 22.7 mo (range, 12.1-36.7). Completion rates for FACT-P and BPI-SF were >78% at baseline, >65% for FACT-P at wk 27, and >63% for BPI-SF at wk 24. Median TTPP was 21.1 mo (95% CI, 13.7-NR) for pembro + docetaxel vs NR (95% CI, 13.8-NR) for placebo + docetaxel (HR, 1.05 [95% CI, 0.77-1.43]). No LSM differences were observed in FACT-P total scores with pembro + docetaxel (–5.31 [95% CI, –7.02 to –3.61]) vs placebo + docetaxel (–3.89 [95% CI, –5.59 to –2.19]) or BPI-SF scores. Median TTD in FACT-P total scores was 21.8 mo (95% CI, 20.0-NR) for pembro + docetaxel and NR (95% CI, 11.1-NR) for placebo + docetaxel (HR, 1.09 [95% CI, 0.88-1.35]). No differences were observed for TTD in FACT-G total, TOI, FAPSI-6, FWB, PWB, and PCS scores between groups. A numerically lower proportion of pts receiving pembro + docetaxel (39.9%) had improved + stable FACT-P total scores compared with placebo + docetaxel (45.3%). FACT-P and BPI-SF scores were generally maintained across all evaluated time points up to wk 81. Conclusions: HRQoL and disease-related symptom scores at all analyzed time points, as well as TTD and TTPP, were similar between the 2 trial arms. These data suggest that pembro + docetaxel did not negatively impact QoL in pts with mCRPC treated with prior NHA. Clinical trial information: NCT03834506 . [Table: see text]

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.143
GPT teacher head0.488
Teacher spread0.345 · 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
Published2023
Admission routes1
Has abstractyes

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