Dietary vitamin D and gastric cancer risk within the stomach cancer pooling (stop) project
Bibliographic record
Abstract
PURPOSE: The evidence regarding the role of vitamin D on gastric cancer (GC) is controversial. Within the Stomach cancer Pooling (StoP) Project, a global consortium of epidemiological studies on GC, we aimed to evaluate the relationship between dietary vitamin D and GC risk. METHODS: Five case-control studies were included in the analysis, accounting for 1875 cases and 5899 controls. Odds ratios (OR) of GC and the corresponding 95% confidence intervals (CI) for tertiles of vitamin D intake were computed using logistic regression models adjusted for relevant confounders, including energy intake. The pooled ORs were computed using random-effect models. RESULTS: The pooled OR of GC for the highest compared to the lowest tertile of vitamin D intake was 1.06 (95% CI 0.80-1.39), with a p for heterogeneity of 0.019. No significant association was found across strata of sex, age, socioeconomic status, smoking status, alcohol intake, and vegetable and fruit consumption. CONCLUSIONS: Our pooled analysis indicates that there is no association between dietary vitamin D and the risk of GC.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".