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MP24-19 TYPE OF ANDROGEN DEPRIVATION THERAPY AND THE RISK OF CARDIOVASCULAR DISEASES IN PATIENTS WITH PROSTATE CANCER WITH OR WITHOUT PRE-EXISTING CARDIOVASCULAR RISK

2021· article· en· W3180502637 on OpenAlexaboutno aff
Alice Dragomir, Nawar Touma, Armen Aprikian

Bibliographic record

VenueThe Journal of Urology · 2021
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAndrogen deprivation therapyProstate cancerInternal medicineCancerOncologyDiseaseHormonal therapyHeart failureMyocardial infarction

Abstract

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You have accessJournal of UrologyProstate Cancer: Advanced (including Drug Therapy) II (MP24)1 Sep 2021MP24-19 TYPE OF ANDROGEN DEPRIVATION THERAPY AND THE RISK OF CARDIOVASCULAR DISEASES IN PATIENTS WITH PROSTATE CANCER WITH OR WITHOUT PRE-EXISTING CARDIOVASCULAR RISK Alice Dragomir, Nawar Touma, and Armen Aprikian Alice DragomirAlice Dragomir More articles by this author , Nawar ToumaNawar Touma More articles by this author , and Armen AprikianArmen Aprikian More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002015.19AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Controversies exist regarding the risk of cardiovascular events in prostate cancer patients treated with androgen deprivation therapy (ADT). We sought to evaluate the association between gonadotropin-releasing hormone (GnRH) agonists versus GnRH antagonist (Degarelix) and the risk of cardiovascular disease (CVD) in patients with prostate cancer with or without prior CVD. METHODS: Using administrative databases from the province of Quebec in Canada, we identified patients initiating androgen deprivation therapy (ADT) between Jan 2012 and June 2016. Two groups of patients were defined based on the type of ADT received at the 1st prescription: GnRH agonists and Degarelix groups. To be included, patients had to be new users of ADT. The end of follow-up was the date of the first CVD (myocardial infarction (MI), stroke, ischemic heart disease (IHD), arrhythmia and heart failure (HF)), switch of GnRH group, death or Dec 13, 2016. The inverse probability of treatment weighting (IPTW) based on propensity score was used to reduce the effect of potential confounding. IPTW-Cox proportional hazard model for competing risk was used to evaluate the association between the exposure to GnRH agonists or antagonist, and the risk of CVD. RESULTS: This study cohort consists of 10,785 patients: 10,201 initiating GnRH agonists and 584 initiating Degarelix. Mean age was 75 years old, similar between groups. A total of 3,304 (32.4%) and 236 (40.4%) men had CVD in the year prior to ADT initiation, in GnRH agonists and antagonist groups, respectively. A decreased risk of MI, stroke and HF was observed in Degarelix group, yet the Hazard ratios (HR) were not significant (HR: 0.63; 95% confidence interval (CI) 0.37-1.07, HR: 0.76; 95%CI 0.42-1.37 and HR: 0.64; 95%CI 0.41-1.00, respectively). But, an increased risk of arrhythmia was observed (HR:1.46; 95%CI 1.18-1.81) in Degarelix group when compared to the GnRH agonist group. CONCLUSIONS: Degarelix was found to be associated with the risk of developing arrhythmia compared to GnRH agonists in patients with prostate cancer regardless of pre-existing cardiovascular risk. Yet, it might be associated with a decreased risk for other CVDs in this population. Source of Funding: None © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e419-e419 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Alice Dragomir More articles by this author Nawar Touma More articles by this author Armen Aprikian More articles by this author Expand All Advertisement Loading ...

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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)0.000
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 score0.256
Threshold uncertainty score0.509

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.288
Teacher spread0.266 · 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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Citations0
Published2021
Admission routes1
Has abstractyes

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