Racial and Ethnic Differences in Socioeconomic Position and Risk of Childhood Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Racial and ethnic differences in associations between socioeconomic position (SEP) and risk of childhood acute lymphoblastic leukemia (ALL) were investigated using data from population-based cancer registries in the Surveillance, Epidemiology, and End Results Program in the United States. The study included 8,383 ALL cases diagnosed at age ≤19 years in 2000-2010. Census tract-level composite SEP index in quintiles was assigned based on residence at the time of diagnosis. Incidence rate ratios and 95% confidence intervals associated with SEP and race/ethnicity, adjusted for sex, age, and year of diagnosis, were estimated using Poisson regression models. The incidence rate of childhood ALL was negatively associated with SEP among Hispanics but was positively associated among children of other races/ethnicities. As compared with the lowest SEP, the adjusted incidence rate ratios for children with the highest SEP were 1.29 (95% confidence interval (CI): 1.15, 1.44) for non-Hispanic whites, 1.67 (95% CI: 1.20, 2.34) for non-Hispanic blacks, 1.57 (95% CI: 1.17, 2.09) for Asians/Pacific Islanders, 2.33 (95% CI: 0.93, 5.83) for American Indians/Alaska Natives, and 0.70 (95% CI: 0.60, 0.81) for Hispanics. The findings of a reverse association in Hispanics need to be confirmed and further explained in future studies using different measures of SEP.
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".