Epidemiology of Gastrointestinal Stromal Tumors in a Defined Canadian Health Region: A Population-Based Study
Bibliographic record
Abstract
The aim of this study was to determine the incidence and the clinical and pathological features of gastrointestinal stromal tumors within a nonselected, well-defined Canadian Health Region. A population-based cohort study of all adult patients diagnosed with gastrointestinal stromal tumors was conducted in the Calgary Health Region from April 2000 to March 2004. All charts and pathological specimens were reviewed for clinical, histological, and antigenic features. The age-adjusted and gender-adjusted annual incidence rate was 0.91/10(5) person-years. There was a trend for increased incidence with routine use of CD117. The only identified risk was advancing age (age >or=50; rate ratio = 4.6; P = .0006). All samples were positive for CD117. At presentation, 19% were at intermediate and 19% were at high risk of becoming malignant, with 14% being overtly metastatic. This is the first North American study to define the incidence and the clinical and pathologic features of gastrointestinal stromal tumors based on current diagnostic criteria.
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 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 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".