Consumption of non-alcoholic beverages and prostate cancer risk
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
Our objective was to investigate the relations between the consumption of coffee, tea and carbonated beverages and the development of prostate cancer. The design was a population-based case-control study set in Montreal. The analysis was restricted to the subset of men, aged 45-70 years, who underwent interviews in which aspects of lifelong consumption of non-alcoholic beverages were ascertained. There were 399 incident cases of prostate cancer, 476 population controls and 621 cancer controls. There was no association between the consumption of either coffee or carbonated beverages and the development of prostate cancer. Among daily tea drinkers, the odds ratio associated with the highest tertile of cumulative consumption was 2.0 (95% confidence interval (CI) 1.3-3.0) when using population controls and 1.6 (95% CI 1.0-2.4) when using cancer controls. In conclusion, the consumption of coffee or carbonated beverages does not influence the risk of prostate cancer. Our findings provide no support to the hypothesis that tea consumption may be protective. While tea consumption may increase prostate cancer risk, we were unable to rule out alternative explanations for the positive association that we observed.
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 | 0.000 | 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 | 0.000 |
| 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 it