Prospective studies of citrus fruit and pancreatic cancer risk:
| Author | Cohort name | Subjects | Years of follow-up | Cases | End point | Consumption of | Relative Risk (RR) | Adjustments |
| 18) Vrieling A (2009) | The EPIC Study | 478,400 subjects from 10 European countries. | 8.9 (1991-2000 to 2002-2007) | 555 | Invasive exocrine pancreatic cancer incidence | Citrus fruit (not defined) |
HR = 1.12 (0.86-1.45; P = 0.38) for the highest vs lowest quartile of consumption.
Amount specific data (g/day):
< 8: HR = 1.
8-29: HR = 1.00 (0.79-1.28).
29-68: HR = 0.92 (0.72-1.19).
> 68: HR = 1.12 (0.86-1.45). | Stratified by age at entry, sex and center. Adjusted for energy from fat, energy from non-fat, weight, height, history of diabetes, and smoking status.
Waist-to-hip ratio, alcohol, red meat and processed meat intake, and education did not markedly change the risk estimates. |
| 16) Nöthlings U (2007) | The Multiethnic Cohort Study | 162,150 subjects (72,966 men and 89,184 women) aged 45-75. (Hawaii-Los Angeles) | 8 (1993-96 to 2002) | 434 | Exocrine pancreatic cancer incidence | Citrus fruit (not defined) |
RR = 1.08 (0.82-1.43; P = 0.63) for the highest vs lowest quartile of consumption.
Amount specific data (g/1000 kcal./d):
< 13.4: RR = 1.
13.4-40.7: RR = 1.03 (0.78-1.35).
40.7-93.9: RR = 1.02 (0.77-1.34).
≥ 93.9: RR = 1.08 (0.82-1.43).
There was little evidence of effect modification by smoking status (never, former, or current). | Controlled for sex and time on study. Adjusted for race-ethnicity, age at cohort entry, smoking status, pack-years of smoking, family history of pancreatic cancer, energy intake, intakes of red meat and processed meat, and BMI. |
| 14) Larsson SC (2006) | The Swedish Mammography Cohort & The Cohort of Swedish Men | 81,922 subjects (36,616 women and 45,306 men). | 6.8 (1998-2004) | 135 (61 women and 74 men) | Primary malignant neoplasm of the exocrine pancreas incidence | Citrus fruits (oranges, grapefruits, orange/grapefruit juice, and other citrus fruits) |
HR = 1.12 (0.68-1.83; P = 0.53) for the highest vs lowest quartile of consumption.
Amount specific data (servings/wk):
< 1.0: HR = 1.
1.0-2.9: HR = 0.88 (0.52-1.50).
3.0-6.9: HR = 1.26 (0.81-2.00).
≥ 7.0: HR = 1.12 (0.68-1.83). | Age, sex, education, BMI, physical activity, cigarette smoking status and pack-years of smoking, multivitamin supplement use, and intakes of total energy, alcohol, green leafy vegetables and cruciferous vegetables. |
| 6) Bobe G (2008) | The Alpha-Tocopherol, beta-Carotene Cancer Prevention Study (ATBC) | 27,111 healthy male smokers of ≥ 5 cigarettes/day aged 50-69. (Finland) | 16.1 (1985-2004) | 306 | Primary exocrine adenocarcinoma of the pancreas incidence | Citrus fruits (not defined) |
HR = 1.05 (0.74-1.49; P = 0.84) for the highest vs lowest quintile of consumption.
Amount specific data (g/day):
≤ 4.43: HR = 1.
> 4.43-13.99: HR = 1.05 (0.75-1.48).
14.00-27.72: HR = 0.85 (0.59-1.22).
> 27.72-58.79: HR = 0.84 (0.58-1.20).
> 58.80: HR = 1.05 (0.74-1.49).
Effect modification: No significant interaction was found by intervention (any supplement [alpha-tocopherol, beta-carotene, or both] vs placebo). | Age at randomization, years of smoking, total number of cigarettes per day, self-reported history of diabetes mellitus, and energy-adjusted saturated fat intake. |
| 6) Stolzenberg-Solomon RZ (2002) | The Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study (ATBC). | 27,111 male smokers of ≥ 5 cigarettes/day aged 50-69. (Finland) | 13 (1985-88 to 1997) | 163? | Primary malignant neoplasm of the exocrine pancreas incidence | Citrus fruits (not defined) |
HR = 0.79 (0.47-1.31; P = 0.53) for the highest vs lowest quintile of consumption.
Amount specific data (g/day):
≤ 5.3: HR = 1.
> 5.3 and ≤ 22.6: HR = 1.15 (0.73-1.82).
> 22.6 and ≤ 46.2: HR = 0.74 (0.44-1.23).
> 46.2 and ≤ 90.9: HR = 1.14 (0.72-1.81).
> 90.9: HR = 0.79 (0.47-1.31). | Energy intake, age and years of smoking.
Additional variables examined in the analyses included ATBC trial interventions; dietary folate, saturated fat, and carbohydrate intakes; history of diabetes mellitus; occupational physical activity; and education. |