The uptake of active surveillance for the management of prostate cancer: A population-based analysis
Bibliographic record
Abstract
INTRODUCTION: Active surveillance (AS) is a strategy for the management of low-risk prostate cancer (PCa). However, few studies have assessed the uptake of AS at a population level and none of these were based on a Canadian population. Therefore, our objectives were to estimate the proportion of men being managed by AS in Ontario and to assess the factors associated with its uptake. METHODS: This was a retrospective, population-based study using administrative databases from the province of Ontario to identify men ≤75 years diagnosed with localized PCa between 2002 and 2010. Descriptive statistics were used to estimate the proportion of men managed by AS, whereas mixed models were used to assess the factors associated with the uptake of AS. RESULTS: 45 691 men met our inclusion criteria. Of these, 18% were managed by AS. Over time, the rates of AS increased significantly from 11% to 21% (p<0.001). Older age, residing in an urban centre, being diagnosed in the later years of the study period, having a neighborhood income in the highest quintile, and being managed by urologists were all associated with greater odds of receiving AS. CONCLUSIONS: There has been a steady increase in the uptake of AS between 2002 and 2010. However, only 18% of men diagnosed with localized PCa were managed by AS during the study period. The decisions to adopt AS were influenced by several individual and physician characteristics. The data suggest that there is significant opportunity for more widespread adoption of AS.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".