A preliminary evaluation of the TrueNTH androgen deprivation therapy educational program.
Bibliographic record
Abstract
219 Background: Androgen deprivation therapy (ADT) is the most common systemic treatment for prostate cancer (PCa), but has many adverse effects that reduce patients’ quality of life and that of their partners. In 5 Canadian cities, we offer an educational program designed to help PCa patients and their partners manage ADT side effects as well as maintain a strong dyadic relationship despite changes that accompany ADT. Methods: Patients on or about to start ADT and their partners participate in a 1.5 hour educational session. Patients receive a copy of the 2014 book, Androgen Deprivation Therapy: An essential guide for men with prostate cancer and their partners (DEMOS Health, NY) which discusses how to manage ADT side effects and how to make effective lifestyle changes to maintain a good quality of life. To date, 358 patients and 220 partners have attended the ADT class. A subset (32%) of participants elected to complete questionnaires at baseline and again 2 to 3 months later to assess the program efficacy. Results: At the time of the ADT class, patients who have been on ADT for ≥ 2 months had more frequent side effects (e.g., hot flashes and breast tenderness), and were more bothered by hot flashes. They also reported worse self-efficacy for managing weight gain and diabetes than those who have been on ADT for < 2 months. However, at 2 to 3 months after the class, patients’ self-efficacy for managing ADT side effects improved, despite experiencing more side effects and more bother associated with those side effects. Notably, patients who were on ADT for a shorter duration (< 2 months), who have attended the class, had less bother associated with hot flashes and better self-efficacy for managing weight gain than those who had been on ADT longer before attending the class. Conclusions: The TrueNTH ADT Educational Program potentially dampens side effect bother and improves self-efficacy for two of the most troublesome adverse effects of ADT, hot flashes and weight gain respectively. The program is most beneficial when offered to patients just starting on ADT. Future analyses will focus on exercise behaviour and dyadic relationship to assess the program’s effectiveness in encouraging a healthy lifestyle and maintain strong dyadic bonds in the face of ADT.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".