Colorectal Cancer Screening Among Métis and Non-Métis Males and Females in Alberta, Canada
Bibliographic record
Abstract
Introduction Colorectal cancer (CRC) screening is an important strategy to reduce morbidity and mortality of cancer. However, evidence on CRC screening and outcomes among Métis people is limited and results are often conflicting. Methods This retrospective study examined CRC screening participation and retention rates, abnormal fecal test results, follow-up colonoscopy rates and wait times, and invasive CRC detection rates and distribution according to Métis status (Métis, non-Métis) and sex (male, female) from 2014 to 2022 among adults living in Alberta. Multiple administrative health databases were linked to investigate study outcomes. Adults aged 50 to 74 years who were eligible for CRC screening were included. Chi-square tests of independence and z- tests compared screening indicators between Métis and non-Métis people and between males and females within each subpopulation. Data over time and across age groups were plotted in scatter plots, and trends were assessed using Joinpoint models. Results CRC screening participation rates among Métis males and females remained slightly higher than, or similar to, their non-Métis counterparts. However, retention rates among Métis people were lower compared to non - Métis people. Comparing females and males, participation rates were higher among females while retention rates were higher among males. A higher proportion of Métis people had abnormal FIT results than their non-Métis counterparts. There were no significant differences in invasive CRC detection rates or CRC stage distribution at diagnosis between Métis and non - Métis people. Conclusion Findings from this study highlight the need for ongoing collaboration among Indigenous leaders, researchers, and healthcare services to support ongoing participation in CRC screening among Métis people.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".