Impact of Immigration Status on Cancer Outcomes in Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Prior studies have documented inferior health outcomes in vulnerable populations, including racial minorities and those with disadvantaged socioeconomic status. The impact of immigration on cancer-related outcomes is less clear. METHODS: Administrative databases were linked to create a cohort of incident cancer cases (colorectal, lung, prostate, head and neck, breast, and hematologic malignancies) from 2000 to 2012 in Ontario, Canada. Cancer patients who immigrated to Canada (from 1985 onward) were compared with those who were Canadian born (or immigrated before 1985). Patients were followed from diagnosis until death (cancer-specific or all-cause). Cox proportional hazards models were estimated to determine the impact of immigration on mortality after adjusting for explanatory variables. Additional adjusted models studied the relationship of time since immigration and cancer-specific and overall mortality. RESULTS: From 2000 to 2012, 11,485 cancer cases were diagnosed in recent immigrants (0 to 10 years in Canada), 17,844 cases in nonrecent immigrants (11 to 25 years), and 416,118 cases in nonimmigrants. After adjustment, the hazard of mortality was lower for recent immigrants (hazard ratio [HR], 0.843; 95% CI, 0.814 to 0.873) and nonrecent immigrants (HR, 0.902; 95% CI, 0.876 to 0.928) compared with nonimmigrants. Cancer-specific mortality was also lower for recent immigrants (HR, 0.857; 95% CI, 0.823 to 0.893) and nonrecent immigrants (HR, 0.907; 95% CI, 0.875 to 0.94). Among immigrants, each year from the original landing was associated with increased mortality (HR, 1.004; 95% CI, 1.000 to 1.009) and a trend to increased cancer-specific mortality (HR, 1.005; 95% CI, 0.999 to 1.010). CONCLUSION: Immigrants demonstrate a healthy immigrant effect, with lower cancer-specific mortality compared with Canadian-born individuals. This benefit seems to diminish over time, as the survival of immigrants from common cancers potentially converges with the Canadian norm.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it