| Literature DB >> 21929755 |
Zhongyi Li1, Jianda Yu, Qilong Miao, Shuben Sun, Lingjun Sun, Houmen Yang, Liejun Hou.
Abstract
BACKGROUND: The association between fish consumption and risk of bladder cancer has not been established yet. The results from epidemiological studies are inconsistent.Entities:
Mesh:
Year: 2011 PMID: 21929755 PMCID: PMC3182909 DOI: 10.1186/1477-7819-9-107
Source DB: PubMed Journal: World J Surg Oncol ISSN: 1477-7819 Impact factor: 2.754
Figure 1Process of study selection for fish consumption and risk of bladder cancer.
Study characteristics of published cohort and case-control studies on fish intake and bladder cancer
| Authors and publication year | Study design | Country | Study period | Cases/subjects | Fish consumption | RR (95% CI) | Variables of adjustment | Assessment |
|---|---|---|---|---|---|---|---|---|
| Steineck et al. | Cohort | Sweden | 1968-1982 | 80/16477 | Ever vs ever | 1.3 (0.8-2.2) | Age, sex and smoking | Questionnaire |
| Steineck et al. | PCC | Sweden | 1985-1987 | 326/719 | Weekly vs more seldom | 1.1 (0.7-1.8) | Age, sex and smoking | Questionnaire |
| Riboli et al. | HCC | Spain | 1985-1986 | 432/1221 | The highest vs the first quartile | 1.26 (0.86-1.84) | Age, smoking and total calories | Interview |
| Chyou et al. | Cohort | USA | 1965-1991 | 96/7090 | ≥ 5 times/wk vs ≤ once/wk | 0.67 (0.26-1.67) | Age, smoking | Both techniques |
| Fernandez et al. | HCC | Italy | 1983-1996 | 431/7990 | ≥ 2 servings/wk vs < 1 serving/wk | 1.4 (1.0-1.8) | Age, sex, area of residence, education, smoking, alcohol consumption, and body mass index | Interview |
| Nagano et al. | Cohort | Japan | 1979-1993 | 114/38540 | ≥ 5 times/wk vs ≤ once/wk | 1.31 (0.75-2.25) | Age, gender, radiation dose, smoking status, education level, body mass index and calendar time | Questionnaire |
| Wakai et al. | HCC | Japan | 1996-1999 | 297/592 | The highest vs the first quartile | 0.86 (0.54-1.38) | Age, sex, smoking and occupational history as a cook. | Interview |
| Balbi et al | HCC | Uruguay | 1998-1999 | 144/720 | The highest vs the first tertile | 0.82 (0.49-1.36) | Age, sex, residence, urban/rural status, education, body mass index, tobacco smoking, 'mate' drinking, and total calories. | Interview |
| Sakauchi et al. | Cohort | Japan | 1988-1997 | 115/65184 | Almost every day vs 1-2 times/month | 0.36 (0.18-0.72) | Age, sex and smoking | Questionnaire |
| Baena et al. | HCC | Spain | Not mentioned | 74/163 | ≥ 3 times/wk vs never | 0.13 (0.05-0.33) | Age, smoking, water intake | Interview |
| Holick et al. | Cohort | US | 1986-2002 | 736/173229 | ≥ 1 serving/day vs 1-3 serving/month | Men 0.71 (0.48-1.04) | Age, sex, total caloric intake, pack-years of cigarette smoking, and current smoking | Questionnaire |
| Garcı'a-Closas et al. | HCC | Spain | 1998-2001 | 873/1785 | The highest vs the first quintile | 0.9 (0.6-1.2) | Age, gender, region, smoking status, duration of smoking and quintiles of fruit and vegetable intake | Interview |
| Hu et al. | PCC | Canada | 1994-1997 | 1029/6068 | The highest vs the first tertile | 0.8 (0.6-1.1) | Age, province, education, body mass index, sex, alcohol, smoking, total of vegetable and fruit intake, and total energy intake | Questionnaire |
| Brinkman et al. | PCC | Belgium | 1999-2004 | 200/486 | The highest vs the first tertile | 0.77 (0.47-1.27) | Sex, age, smoking status, number of cigarettes smoked per day, number of years smoking, occupational exposure to PAHs or aromatic amines and energy intake. | Questionnaire |
PCC: population-base case-control study, HCC: hospital-base case-control study.
Figure 2Forest plots showing risk estimates from case-control and cohort studies estimating the association between fish consumption and risk of bladder cancer.
Figure 3Funnel plot of fish consumption and bladder cancer risk.
Summary of pooled risk ratios of bladder cancer for fish consumer by study design, geographical region, and exposure assessment
| Subgroup | Number of studies | Pooled RR | Q-test for heterogeneity | |
|---|---|---|---|---|
| P value | ||||
| Study design | ||||
| Cohort studies | 5 | 0.84 (0.42, 1.26) | 0.023 | 64.8% |
| Case-control studies | 9 | 0.87 (0.54, 1.21) | < 0.001 | 89.7% |
| Hospital-based case-control studies | 6 | 0.88 (0.40, 1.36) | < 0.001 | 92.5% |
| Population-based case-control studies | 3 | 0.83 (0.63, 1.03) | 0.586 | 0 |
| Geographical region | ||||
| Europe | 7 | 0.95 (0.49, 1.42) | < 0.001 | 91.9% |
| US/Canada | 3 | 0.80 (0.58, 1.02) | 0.891 | 0 |
| Japan | 3 | 0.76 (0.25, 1.27) | 0.019 | 74.7% |
| Exposure assessment | ||||
| Interview | 6 | 0.88 (0.40, 1.36) | < 0.001 | 92.5% |
| Mailed questionnaire | 7 | 0.84 (0.58, 1.09) | 0.025 | 58.5% |
| Case sample size | ||||
| Large | 7 | 0.99 (0.82, 1.17) | 0.215 | 28.0% |
| Small | 7 | 0.68 (0.34, 1.02) | < 0.001 | 81.4% |