Wait times in prostate cancer diagnosis and radiation treatment
Bibliographic record
Abstract
INTRODUCTION: Wait times for cancer diagnosis and treatment are a significant concern for Canadians. Men with prostate cancer experience longer waiting times for diagnosis and treatment than those observed for other cancers. Longer waits are associated with both patient and family psychosocial distress and may be associated with worse prognosis. METHODS: Men referred for treatment of prostate cancer at a single Canadian cancer centre were interviewed. The intervals from suspicion to definitive therapy were calculated, factors associated with delays along this pathway were identified, and common causes of delay identified by patients were described. RESULTS: A total of 41 consecutive patients participated. The median interval from suspicion to the first fraction of radiotherapy for all patients was 247 days (interquartile range [IQR] 168-367 d). The median diagnostic interval was 53 days (IQR 28-166 d). The median treatment interval was 127 days (IQR 100-180 d). Patients under 70 years old and patients with <T2c disease had shorter intervals from suspicion to treatment. From diagnosis to start of radiotherapy, patients with low-risk disease had longer intervals. Seventy percent of patients perceived a delay in their care, of which 45%, 31% and 24% of patients felt the delays were due to the health care system, patient or physician factors, respectively. INTERPRETATION: In this study, 12% and 0% of patients met Canadian Strategy for Cancer Control and Canadian Association of Radiation Oncologists wait time recommendations, respectively. A large component of wait time is patient driven. Alternate strategies should be developed and measured to shorten the intervals between the suspicion and treatment of prostate cancer.
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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 | 0.000 | 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) | 0.001 | 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 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".