Oral Cancer Screening in a High-Risk Underserved Community: Vancouver Downtown Eastside
Bibliographic record
Abstract
The objective of this study was to evaluate a clinic-centered oral cancer screening initiative in one of the poorest communities in Canada, assessing the need for screening and the acceptance of screening and identifying hindrances to both screening and follow-up. The study group included 204 people in the Vancouver Downtown Eastside (DTES). This was shown to be a high-risk community based on risk factors, lack of access to care, and the high frequency of oral mucosal anomalies. Acceptance of screening was high (98%); however, acceptance of biopsy for abnormal findings and follow-up was low. Among the 12 patients with clinical leukoplakia who were biopsied, 10 showed cancer or precancer. In summary, these data show a need for screening in this population and an ability to recruit patients to screening. They support a future expansion of this initiative to create a more comprehensive strategy for outreach to this underserved community that extends to screening, diagnostic work-up, and treatment.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".