[A case-control study on the association between urinary levels of isothiocyanates and the risk of pancreatic cancer].
Bibliographic record
Abstract
OBJECTIVE: To investigate the association between urinary levels of isothiocyanates (ITCs) and the risk of pancreatic cancer in urban Shanghai. METHODS: A case-control study has been conducted in urban Shanghai. The cases (from December 2006 to December 2008) were identified through an newly established "instant case reporting" system. The high performance liquid chromatography (HPLC) method was applied to determine the urinary levels of isothiocyanates in 390 cases and 414 controls. A food-frequency questionnaire was administered to estimate cruciferous vegetables consumption and dietary ITC exposure.Non-conditional logistic regression model was used to analyze the relationship between dietary and urinary levels of isothiocyanates and the risk of pancreatic cancer. RESULTS: The cruciferous vegetables intake and ITC consumption, urinary ITC levels (median (P25, P75)) were 95.0 (66.9, 135.8) g/d, 11.0 (7.1, 16.0) µmol/d, 0.95 (0.12, 2.92) µmol/g Cr respectively in cases, all lower than those in controls, separately 107.4 (80.1, 154.1) g/d, 12.3 (8.0, 18.0) µmol/d, 1.78 (0.53, 5.28) µmol/g Cr. The differences were statistically significant (t = 3.75, 3.03, 4.40, all P values <0.01). Urinary levels of ITCs in controls were correlated with cruciferous vegetables consumption and dietary ITC exposure (r = 0.189, 0.201, all P values <0.01). There was inverse association between urinary ITCs and the risk of pancreatic cancer after adjusting for possible confounding factors such as age, sex, history of diabetes and pancreatitis. Compared with the first tertile (<0.825 µmol/g Cr), the odds ratio (95%CI) for the second (0.825-3.342 µmol/g Cr) and third tertiles ( ≥ 3.343 µmol/g Cr) were 0.69 (0.49-0.97) and 0.47(0.33-0.68), respectively, Ptrend<0.01.High levels of cruciferous vegetables or ITC consumption were associated with a reduced risk of pancreatic cancer (all P trend <0.05). CONCLUSION: indicated that high levels of dietary ITC exposure might reduce the risk of pancreatic cancer.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".