Quality of life in patients with high‐risk prostate cancer improves with shorter course of androgen deprivation therapy
Bibliographic record
Abstract
A shorter course of androgen deprivation therapy (ADT) combined with radiotherapy (RT) leads to a quicker recovery of normal testosterone levels in patients with prostate cancer, resulting in better quality of life without affecting longterm outcomes, new research has found. The research, presented at the American Society for Radiation Oncology annual meeting (held in September, 2014 in San Francisco, California), analyzed data from 561 patients with high-risk prostate cancer in a multicenter, randomized phase 3 trial in Canada. Patients were randomized into 2 groups: one receiving 18 months of ADT and RT and the other receiving 36 months of ADT and RT. RT was initiated 4 months after the start of ADT in both groups. With a median follow up of 84 months, 55.7% of patients in the 18-month ADT group recovered to normal testosterone levels compared with 44.9% of patients in the 36-month ADT group. Furthermore, the median time to testosterone recovery was shorter in the patients receiving 18 months versus those receiving 36 months of ADT (47.2 months vs 73.2 months). Patients completed quality-of-life questionnaires prior to treatment, every 6 months during ADT, at 4 months after ADT, and then once a year for 5 years after treatment. As determined by the questionnaires, patients who had testosterone recovery had a better quality of life than those who did not. Currently, the ADT duration guideline for patients with high-risk prostate cancer is between 2 to 3 years. Because of the improvement in testosterone recovery and quality of life, the researchers say that 2 years of ADT may be a good step until final results are obtained.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".