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Effect of concomitant medications on treatment response and survival in non-metastatic castrate resistant prostate cancer: Secondary analysis of the SPARTAN trial.

2024· article· en· W4399394822 on OpenAlexaff
Soumyajit Roy, Fred Saad, Shawn Malone, Yilun Sun, Daniel E. Spratt, Amar U. Kishan, Christopher J.D. Wallis, Angela Y. Jia, Osama Mohamad, Umang Swami, Michael Ong, Neeraj Agarwal, Simon Chowdhury, Scott C. Morgan

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity Health NetworkUniversity of TorontoUniversity of OttawaPrincess Margaret Cancer CentreOttawa HospitalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineConcomitantProstate cancerOncologyInternal medicineProstateCancer

Abstract

fetched live from OpenAlex

5046 Background: While exposure to concomitant medications (conmeds) have been found to influence survival and treatment response in patients with metastatic prostate cancer, it is unclear if exposure to these medications affect treatment response and survival in men with non-metastatic castrate resistant prostate cancer (nmCRPC) treated with androgen receptor signaling inhibitors (ARSI). We performed an exploratory analysis of the SPARTAN trial to determine whether receipt of conmeds influenced the effect of apalutamide on overall survival (OS) and metastasis-free survival (MFS) in patients with nmCRPC. Methods: SPARTAN is a phase III randomized controlled trial in which nmCRPC patients were randomly assigned 2:1 to receive apalutamide or placebo in addition to androgen deprivation therapy (ADT). We focused on 5 groups of commonly prescribed classes of conmeds: biguanides (metformin), HMG-CoA reductase inhibitors (statins), angiotensin converting enzyme inhibitors (ACEI), acetylsalicylic acid derivatives (ASA), and proton pump inhibitors (PPI) given their plausible biologic and clinical rationale. To determine the potential effect-modification, we applied Cox regression models with interaction term between the conmed class, the randomized treatment in addition to a minimally sufficient set of confounders. To determine the independent association of each class of conmeds with outcome, we applied IPTW-based survival analysis and log-rank test. Results: Overall, 1152 patients (772 and 380 in the apalutamide and placebo arm, respectively) were eligible for this secondary analysis. For OS, we did not find any statistically significant heterogeneity of treatment effect from ADT plus apalutamide across subgroups stratified by concomitant exposure to the conmeds listed above. We noted a significant difference (p=0.01) in treatment effect from apalutamide on MFS between patients with concomitant receipt of statins (adjusted hazard ratio [aHR]: 0.20; 95% CI: 0.15-0.28) vs without statins (aHR: 0.31 [0.24-0.39]). On IPTW-based analysis, patients with concomitant metformin (median: NR vs 31 months (mos); p=0.002) and concomitant ACEI (median: 37 vs 29 mos; p=0.006) had significantly superior MFS. Patients with exposure to all of metformin, ACEI, and statin had significantly improved MFS (median: NR vs 31 mos; p<0.001). Conclusions: In this post-hoc exploratory analysis, treatment effects from apalutamide on MFS and OS were consistent across subgroups stratified by exposure to conmeds. Exposure to concomitant metformin or ACEI was associated with a significant improvement in MFS.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.093
GPT teacher head0.513
Teacher spread0.421 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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