Cardiometabolic side effects of androgen deprivation therapy in prostate cancer
Bibliographic record
Abstract
PURPOSE OF REVIEW: Androgen-deprivation therapy (ADT) is widely employed for treatment of advanced prostate cancer and it is considered the frontline therapy. However, the numerous adverse reactions associated with this treatment option are concerning and its potential association with cardiovascular diseases (CVD) should not be overlooked. In this review, we examine the literature on the cardiovascular side effects of ADT and the physiologic mechanisms underpinning the association with CVD. We will also specifically discuss the different findings regarding the interesting potential disparity in major cardiovascular events among GnRH agonist-treated patients compared with patients undergoing GnRH antagonist treatment. RECENT FINDINGS: Androgen-deprivation therapy increases the risk of developing CVD by altering the body composition, metabolism, vascular system, and cardiac physiology. GnRH agonists may pose a higher risk of cardiovascular mortality and morbidity than GnRH antagonists; however, this link remains to be determined. Furthermore, screening for cardiovascular risk factors before and during ADT treatment is a crucial step in preventing major adverse cardiac events in prostate cancer patients. Notably, preexisting CVD and comorbidities have been identified as major key elements predicting cardiovascular events. Early implementation of pharmacological and nonpharmacological treatment strategies is strongly suggested, and regular follow-up visits should be scheduled to continuously assess patients' cardiovascular risk under ADT. SUMMARY: ADT is a very powerful treatment option for advanced prostate cancer that improves survival outcomes but has the potential of considerably impacting patients' cardiovascular health. Medical optimization and close monitoring are crucial during treatment with ADT.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".