Is prostate brachytherapy a dying art? Evidence of increasing utilization in Ontario, Canada.
Bibliographic record
Abstract
e17608 Background: A worldwide decline in prostate brachytherapy (BT) utilization has been reported in multiple health care settings/jurisdictions, despite strong evidence for efficacy and safety compared to other alternatives. We sought to evaluate contemporary trends in BT, EBRT and prostatectomy utilization in a publicly funded healthcare system. Methods: Men with localized prostate cancer diagnosed and treated between 2007 and 2017 in Ontario, Canada were identified using administrative data from the Institute for Clinical Evaluative Sciences. Men were coded to have received EBRT, BT (monotherapy or boost) or prostatectomy as initial definitive management. Trends were evaluated using the Cochran-Armitage test. Multivariate logistic regression was used to evaluate patient-, tumour-, and provider-factors on treatment utilization over time. Results: 57,655 men were included in our study. Prostate BT use increased from 7.5% of all treatments in 2007 to 15.4% in 2017 ( p< 0.01), primarily due to increased use of BT boost (1.7% in 2007 to 10.4% in 2017, p < 0.01). Relative to EBRT, BT use increased from 17.9% in 2007 to 28.1% in 2017 ( p< 0.01). On multivariate analysis (MVA), BT boost use increased by 28% per year (OR 1.28, 95% CI 1.26–1.31, p< 0.01) and BT monotherapy use increased by 12% per year (OR 1.12, 95% CI 1.10–1.14, p< 0.01), offset by decreasing prostatectomy use (12% per year, OR 0.88, 95% CI 0.87–0.89, p< 0.01). Comparing BT to EBRT, the strongest predictors of receiving BT were geographic residence (OR 27.6, 95% CI: 20.3–37.6, p< 0.01 between highest/lowest Local Health Integration Networks) and whether the first consulting radiation oncologist performed BT (OR 3.46, 95% CI: 3.15–3.80, p< 0.01). Other significant factors predicting BT use vs. EBRT included lower age, lower PSA, lower Charlson comorbidity score and increasing neighborhood income quintile. Low-intermediate, high-intermediate and high-risk groups were predictive of receiving BT boost, whereas BT monotherapy was predominantly used in low-risk disease. Conclusions: Contrary to trends observed in other jurisdictions, utilization of prostate BT is increasing over time in Ontario. However, substantial variation in BT utilization was found, strongly driven by both geographic region and radiation oncologist BT practice patterns. To our knowledge, this is the first study to report increasing BT utilization in the era of dose-escalated EBRT, with Ontario potentially serving as a model to promote BT utilization elsewhere.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".