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Record W2008439992 · doi:10.1177/1066896907306967

Epidemiology of Gastrointestinal Stromal Tumors in a Defined Canadian Health Region: A Population-Based Study

2008· article· en· W2008439992 on OpenAlexafffundabout
Brian Yan, Gilaad G. Kaplan, Stefan J. Urbanski, Carla Nash, Paul L. Beck

Bibliographic record

VenueInternational Journal of Surgical Pathology · 2008
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Heritage Foundation for Medical Research
KeywordsCD117Incidence (geometry)MedicineEpidemiologyGiSTPopulationPathologicalStromal cellCohortStromal tumorInternal medicinePathologyOncologyCD34BiologyEnvironmental health

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.369
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations41
Published2008
Admission routes3
Has abstractyes

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