Incidence and survival of esophageal and gastric cancers in BC, Canada.
Bibliographic record
Abstract
3857 Background: Geographical variation and temporal trends in the incidence of esophageal and gastric cancers vary according to both tumor morphology and organ subsite. Both diseases are among the deadliest forms of cancer. We describe the incidence and survival of gastric and esophageal carcinoma in British Columbia, Canada (BC) between 1990 and 1999. Methods: Incidence data for the period 1990-1999 were obtained from the BC Cancer Registry (BCCR). Age-adjusted incidence and survival rates were computed by anatomic subsite, histological type and gender. All rates were standardized to the 1996 Canadian population. The Estimated Annual Percent Change (EAPC) was used to measure incidence changes over time. Kaplan-Meier curves were used to show survival, and log-rank tests used to test for differences in the curves among various groups. Results: Between 1990 and 1999, 1741 esophageal cancer cases and 3431 gastric cancer cases were registered in BC. There was an increase in the incidence for adenocarcinoma of the esophagus over time (EAPC=9.6) among men and for gastric cardia cancer among both women (EAPC=9.2) and men (EAPC=3.8). Proximal gastric (cardia) cancers had significantly better survival than cancers in the lower third of esophagus. Among gastric cancers, distal tumors had a significantly better survival than proximal tumors. Discussion: The incidence of proximal gastric cancer and esophageal adenocarcinoma are increasing, and their survival patterns are different. Examining these cancers together might elucidate new etiologic and prognostic factors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".