Abstract A65: Survival of women with cancers of the breast, stomach, and esophagus in Ardabil (Iran) and British Columbia (Canada)
Bibliographic record
Abstract
Background: Patterns in survival can provide information about the burden and severity of cancer, help uncover gaps in systemic policy and program delivery, and support the planning of enhanced cancer control systems. We describe the one-year survival rates for women with cancer of the breast, stomach and esophagus in two populations: Ardabil, Iran and British Columbia (BC), Canada. Methods: All female invasive cancers of the breast, stomach and esophagus diagnosed in 2003 were identified in the Ardabil and BC cancer registries. At least one year of follow-up information was available for each patient. The International Classification of Disease for Oncology was used for coding tumour morphology and topography. Age-specific and age-adjusted one-year relative survival rates were calculated using life tables for each country. Patient groups and tumour characteristics were compared using t-tests for continuous variables and chi-squared tests for categorical variables. Results: The one-year relative survival rate for breast cancer patients was 95.0% in BC and 16.0% in Ardabil. The one-year relative survival rate for stomach cancer patients was 46.1 % in BC and 21.5 % in Ardabil. The one-year relative survival rate of esophageal cancer patients was 34.0 % in BC and 16.1 % in Ardabil. The average age of breast cancer patients was 61 years in BC and 47 years in Ardabil (p Conclusion: There were substantial differences in women9s cancer survival between BC and Ardabil. The differences might be due to patient host factors, tumor biology or health care services.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".