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Record W4407285870 · doi:10.1093/jcag/gwae059.124

A124 CHARACTERISTICS OF GASTRIC CANCER IN BRITISH COLUMBIA

2025· article· en· W4407285870 on OpenAlexaffabout
Shlomo Sasson, David Farnell, Douglas Motomura

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCancerMedicineHistoryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Gastric cancer remains a significant global health concern. In Asia, the prevalence of H. Pylori (HP) infection has led to well described risk factors in a more homogenous populace. In contrast, British Columbia presents a more diverse population, yet there is limited data on the specific characteristics of gastric cancer in this region. Aims 1. Compare the distribution and characteristics of histological types of gastric cancer using both the Lauren and Japanese classification. 2. Compare early-stage gastric cancers (T1) and advanced stages, focusing on the effectiveness of early detection and treatment approaches. Methods We conducted a retrospective analysis of patients diagnosed with gastric cancer between 2012 and 2024 from 5 major centers in the Greater Vancouver area. This includes patients from the interior of British Columbia. Patients with gastroesophageal junction (GEJ) or gastric cardia lesions were excluded. For each patient, demographic data (including ethnicity), lesion characteristics, and risk factors were collected. HP positivity was confirmed by histological inspection or a prior positive non-invasive test. Data were analyzed using standard stastical methods. Results The initial search identified 297 patients, with 167 meeting the inclusion criteria (mean age 68 years, male 62%, diffuse histology 46%, surgical resection 93%, H. pylori positive 40%). Patients with intestinal-type gastric cancer were more likely to be male (77% vs. 49%), older (mean age 72 years vs. 63 years), and had higher rates of background atrophic gastritis (68% vs. 34%). Intestinal-type patients were more likely to meet criteria for endoscopic resection (17% vs. 2%). There were no significant differences in ethnicity or HP status between the histological subtypes. Tumor size approached significance, with intestinal-type cancers tending to be smaller (3.9 cm vs. 5.0 cm, p = 0.067). Early gastric cancer represented 22% of the cohort. Among these, 41% met criteria for endoscopic resection, though only 3 patients actually underwent the procedure (21% of those eligible). Conclusions Gastric cancers in British Columbia are being diagnosed at a more advanced stage compared to some Asian populations, specifically in Japan. A significant proportion of patients eligible for endoscopic resection are instead undergoing surgery. Intestinal-type gastric cancers are more likely to be endoscopically resectable, likely due to more liberal resection. Patients with intestinal-type gastric cancer are also more likely to have background changes in the stomach, indicating a need for closer follow-up when this is detected. No significant ethnic differences were observed between histological subtypes. Our findings underscore the need for improved early detection strategies in British Columbia, as well as the potential to reduce unnecessary surgeries through increased use of endoscopic resection. Table. Comparison of Clinicopathological Features of Gastric Cancer Subtypes Based on Histological Type (Intestinal, Diffuse, Mixed) and Differentiation Status. Funding Agencies None

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.273
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.232
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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