Abiraterone acetate (AA) plus prednisone (P) 5 mg QD in metastatic castration-naïve prostate cancer (mCNPC): Detailed safety analyses from the LATITUDE phase 3 trial.
Bibliographic record
Abstract
182 Background: AA + P added to androgen deprivation therapy (ADT) improves overall survival (OS) in newly diagnosed mCNPC patients (pts). AA has been previously coadministered with P (10 mg QD). As a lower dose of P (5 mg QD) was used in LATITUDE, we conducted additional safety analyses. Methods: 1199 pts with newly diagnosed, high-risk mCNPC (≥ 2 of 3 risk factors: Gleason ≥ 8, ≥ 3 bone lesions, visceral metastases) were randomized 1:1 to AA (1 gm QD) + P (5 mg QD) + ADT or placebos (PBOs) of AA and P + ADT: median treatment duration 24 and 14 mo, respectively. Safety analyses focused on key mineralocorticoid excess (ME)-related adverse events (AEs): hypertension (HTN) and hypokalemia. Results: Increased HTN with 5 mg/d P with AA + ADT (relative risk, 1.6 [95% CI, 1.4-1.9]) was similar to prior studies using 10 mg/d P (COU-AA-301: 1.4 [0.9-2.0]; COU-AA-302: 1.6 [1.2-2.1]). Of Gr 3/4 HTN events, 87% (109/126 [AA + P + ADT]) and 83% (52/63 [PBOs + ADT]) resolved to Gr ≤ 2. There were few cerebrovascular events: AA + P + ADT, 5; PBOs + ADT, 9. The protocol allowed increasing dose of P to 10 mg for ME-related AEs, but most Gr 3/4 HTN events were managed only by supplemental antihypertensives. Prior use of antihypertensives at study entry was predictive of Gr 3/4 HTN in both treatment arms (RR: 1.85; 95% CI, 1.14-3.01). Gr 3/4 hypokalemia increased with AA + P + ADT (10.4% [62/597]) vs PBOs + ADT (1.3% [8/602]); 89% (55/62) and 100% (8/8) of these events improved to Gr ≤ 2. Less than 1% of pts in either arm discontinued therapy for ME-related AEs. Conclusions: In-depth analysis of LATITUDE data confirms the safety of 5 mg/d P with AA + ADT and helps provide practical treatment guidance for managing mCNPC. Clinical trial information: NCT01715285. [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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".