Perspectives of prostate cancer patients about active surveillance.
Bibliographic record
Abstract
82 Background: In prostate cancer (PC), men diagnosed with low risk disease may be monitored through an active surveillance (AS) approach that runs counter to the traditional message of undergoing treatment as soon as possible following a cancer diagnosis. This research explored the perspectives of men with PC regarding their decision-making process for AS to identify the factors that influenced their decision and assisted health care professionals in discussing AS as an option. Methods: Focus group interviews (n = 7) were held in several Canadian cities with men (n = 52) diagnosed with PC and eligible for AS. The men’s viewpoints were captured regarding their understanding of AS, the factors that influenced their decision to engage in AS, and their experience with the approach. A content and theme analysis was performed on the verbatim transcripts from the interviews. Results: All patients described the perception that their disease was not “large enough” to require treatment. They understood that the waiting process avoided the side effects associated with treatments, and they were comfortable about postponing treatment while undergoing close monitoring. Conversations with their doctor and how AS was described were cited as key influences in their decision. Other influences included availability of information on treatment options, distrust in the health system, personality, experiences and opinions of others, and personal perspectives on quality of life. Conclusions: AS is a relatively new approach for the care of men with low risk PC. Men require a thorough explanation on AS as a safe and valid option, as well as guidance towards supportive resources in their decision-making.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".