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World J Gastroenterol. Feb 21, 2013; 19(7): 1020-1029
Published online Feb 21, 2013. doi: 10.3748/wjg.v19.i7.1020
Published online Feb 21, 2013. doi: 10.3748/wjg.v19.i7.1020
Ref. | Study period | Sex | No. of cases | No. cohorts or controls | Dietary assessment | Exposure and comparison level | Adjusted RR (95%CI) | Study quality1 | Adjustment for confounders |
Cohort studies | |||||||||
Keszei et al[11] | 1986-2002 | M | ESCC: 107 | 120 852 | FFQ 150 items | Red meat | 9 | Age, smoking (including years and numbers per day), total energy, BMI, alcohol drinking, vegetable, fruit, education, non-occupational PA | |
F | EAC: 145 | ESCC | |||||||
M | Q5 vs Q1 | 2.66 (0.94-7.48) | |||||||
F | T3 vs T1 | 0.87 (0.42-1.79) | |||||||
EAC | |||||||||
M | Q5 vs Q1 | 0.57 (0.28-1.19) | |||||||
F | T3 vs T1 | 1.09 (0.44-2.75) | |||||||
Processed meat | |||||||||
ESCC | |||||||||
M | Q5 vs Q1 | 3.47 (1.21-9.94) | |||||||
F | T3 vs T1 | 0.63 (0.28-1.44) | |||||||
EAC | |||||||||
M | Q5 vs Q1 | 0.94 (0.46-1.89) | |||||||
F | T3 vs T1 | 0.58 (0.22-1.50) | |||||||
Cross et al[12] | 1995-2006 | C | ESCC: 215 | 494 979 | FFQ 124 items | Red meat (Q5 vs Q1) | 9 | Age, sex, BMI, education, ethnicity, smoking, alcohol drinking, PA at work, vigorous PA, daily intakes of fruit, vegetable, saturated fat, energy | |
EAC: 630 | ESCC | 1.79 (1.07-3.01) | |||||||
EAC | 1.15 (0.84-1.57) | ||||||||
Processed meat (Q5 vs Q1) | |||||||||
ESCC | 1.32 (0.83-2.10) | ||||||||
EAC | 1.08 (0.81-1.43) | ||||||||
González et al[13] | 1992-1998 | C | EAC: 65 | 521 457 | FFQ 88-266 items | Red meat (T3 vs T1) | 1.67 (0.75-3.72) | 8 | Sex, height, weight, education, smoking, smoking intensity, work and leisure PA, intakes of alcohol, energy, vegetable, citrus fruit, non-citrus fruit, types of meat intake were mutually adjusted |
Processed meat (T3 vs T1) | 3.54 (1.57-7.99) | ||||||||
Yu et al[14] | 1974-1989 | C | All: 1162 | 12 693 | Questionnaire 15 items | Pork (never vs regular/occasional) | 1.37 (1.11-1.68) | 7 | Age, sex |
Case-control studies | |||||||||
Ward et al[15] | 1988-1993 | C | EAC: 124 | 449 | Questionnaire 100 items | Red meat (> 157.2 g/d vs ≤ 73.8 g/d) | 2.85 (1.00-8.16) | 5 | Age, sex, race, vital status, year of birth, sex, No. of cigarettes per day, BMI, intakes of retinoic acid, folate, riboflavin, zinc, carbohydrate, protein, total energy. |
Processed meat (> 52.3 g/d vs ≤ 16.1 g/d) | 1.40 (0.62-3.15) | ||||||||
De Stefani et al[16] | 1996-2004 | C | ESCC: 234 | 2020 | FFQ 64 items | Red meat ( T3 vs T1) | 4.97 (2.98-8.29) | 7 | Age, sex, residence, education, BMI, smoking, drinking, mate temperature, total energy, total intakes of vegetable and fruit, scored pattern |
Processed meat (T3 vs T1) | 0.76 (0.51-1.13) | ||||||||
Gao et al[17] | 1997-2005 | C | ESCC: 600 | 1514 | Questionnaire 35 items | Red meat (> weekly vs monthly/seldom/never) | 1.37 (1.03-1.82) | 5 | Age, sex, geographic region |
Wu et al[18] | 2003-2007 | C | All: 1495 | 3819 | FFQ | Red meat (Q4 vs Q1) | 1.13 (0.94-1.36) | 7 | Age, sex, education, previous income, BMI, pack-years smoking, weekly ethanol intake, study area |
Hajizadeh et al[19] | N/A | C | ESCC: 47 | 96 | FFQ168 items | Red meat (T3 vs T1) | 2.47 (0.76-7.96) | 6 | Age, sex, education, tobacco smoking, symptomatic gastroesophageal reflux, BMI, total energy |
Processed meat (T3 vs T1) | 1.10 (0.36-2.47) | ||||||||
O'Doherty et al[20] | 2002-2005 | C | EAC: 221 | 256 | FFQ101 items | Red meat (Q4 vs Q1) | 3.15 (1.38-7.20) | 7 | Age, sex, smoking, BMI 5 yr before interview date, education, job type, Intakes of energy, fruit, vegetable, alcohol (g/d), Helicobacter pylori infection, nonsteroidal anti-inflammatory drug use 5 yr before, interview date, gastroesophageal reflux symptoms, location, types of meat intake were mutually adjusted |
Processed meat (Q4 vs Q1) | 1.41 (0.67-2.95) | ||||||||
Sapkota et al[21] | 1999-2003 | C | ESCC: 187 | 1110 | Questionnaire 23 items | Red meat (≥ 1/wk vs < 1/mo) | 0.62 (0.19-2.09) | 6 | Age, sex, country, tobacco pack-year, education, BMI, frequency of alcohol consumption, vegetable, fruit consumption |
Processed meat (≥ 1 time/wk vs < 1 time/mo) | 1.12 (0.52-2.41) | ||||||||
Navarro Silvera et al[22] | 1993-1995 | C | EAC: 282 | 687 | FFQ104 items | Red meat (high vs low) | 3.02 (1.65-5.52) | 7 | Age, sex, study site, race, proxy status, income, education, BMI, No. of smoking cigarettes per day, intakes of beer, wine, liquor, and energy |
Wang et al[23] | 2004-2006 | M | ESCC: 355 | 408 | Questionnaire | Pork (often vs none/seldom) | 2.06 (1.42-2.99) | 5 | Age, sex, marital status, education |
F | 1.91 (1.16-3.16) | ||||||||
Wu et al[24] | 1992-1997 | C | EAC: 206 | 1308 | Questionnaire 124 items | Red meat (Q4 vs Q1) | 1.29 (0.8-2.2) | 5 | Age, sex, race, birthplace, education, smoking, BMI, reflux, use of vitamins, total energy |
Processed meat (Q4 vs Q1) | 1.23 (0.7-2.1) | ||||||||
Chen et al[25] | 1988-1993 | C | EAC: 124 | 449 | Questionnaire54 items | Red meat (Q4 vs Q1) | 1.4 (0.61-3.2) | 7 | Age, sex, energy intake, respondent type, BMI, alcohol drinking, smoking, education, family history, vitamin supplement use, age squared for EAC |
Processed meat (Q4 vs Q1) | 1.7 (0.71-3.9) | ||||||||
Takezaki et al[26] | 1988-1997 | M | All: 284 | 11 888 | Questionnaire | Beef (≥ 3/wk vs ≤ 3/mo) | 0.9 (0.6-1.5) | 5 | Age, year and season of visit, smoking, drinking |
Bosetti et al[27] | 1992-1997 | C | ESCC:304 | 743 | FFQ78 items | Red meat (Q5 vs Q1) | 1.93 (1.09-3.41) | 5 | Age, sex, area of residence, education, tobacco smoking, alcohol drinking, non-alcohol energy |
Rolón et al[28] | 1988-1991 | C | All: 131 | 379 | FFQ | Red meat (highest vs lowest) | 3.8 (1.3-11.0) | 5 | Age, sex, alcohol, smoking, design variable of the study, hospital group, intakes of red meats, fats, fish, milk |
Castelletto et al[29] | 1986-1989 | C | ESCC: 131 | 261 | FFQ10 food groups | Beef (≥ daily vs < daily) | 0.6 (0.3-0.9) | 6 | Age, sex, design variable, hospital, education, No. of cigarettes smoking per day, intakes of alcohol, barbecued meat, potatoes, raw vegetables, cooked vegetables |
Tavani et al[30] | 1984-1992 | C | All: 46 | 230 | FFQ14 items | Ham (Q3 vs Q1) | 1.4 (0.6-3.3) | 5.5 | Age, sex, education, total alcohol intake |
Liver (Q2 vs Q1) | 1.1 (0.5-2.3) | ||||||||
Rogers et al[31] | 1983-1987 | C | All: 127 | 466 | FFQ125 items | Beef (≥ 1/wk vs < 1/wk) | 5 | Age, sex, pack-years of cigarette, drink-years of alcohol, energy intake, beta-carotene intake, ascorbic acid intake | |
As a main dish | 0.8 (0.4-1.4) | ||||||||
As a sandwich | 1.0 (0.6-1.7) | ||||||||
Pork (≥ 1/wk vs < 1/wk) | 1.2 (0.8-2.5) | ||||||||
Yu et al[32] | 1975-1981 | C | Beef: 267 | Beef: 267 | Questionnaire10 food groups | Beef (≥ 5/wk vs ≤ 1/wk) | 1.3 (0.6-2.7) | 5 | Age, sex, race |
Fried bacon or ham: 265 | Fried bacon or ham: 265 | Fried bacon or ham ( ≤ 1/wk vs≥ 5/wk ) | 2.0 (1.1-3.5) | ||||||
Barbecued or smoked meat: 268 | Barbecued or smoked meat: 268 | Barbecued or smoked meat (≥ 2/wk vs ≤ 1/wk) | 1.7 (0.9-3.0) | ||||||
Chen et al[33] | 1996-2005 | M | ESCC: 320 | 709 | Questionnaire6 items | Cured meat (≥ 1/wk vs < 1/wk ) | 0.8 (0.4-1.4) | 5 | Age, educational level, ethnicity, source of hospital, smoking, alcohol drinking, areca nut chewing |
Yang et al[34] | 2003-2004 | C | All: 185 | 185 | Questionnaire 9 Items | Processed meat (> 3 meals/wk vs < 1 meal/wk) | 0.66 (0.31-1.41) | 5.5 | Family history of esophageal cancer, occupation, smoking, drinking, eating hot food, eating speed, intakes of vegetables, fruit, pickled vegetables, fresh meat, egg, tea, water supply |
Levi et al[35] | 1992-2002 | C | All:138 | 660 | FFQ79 items | Processed meat(> 3.2 freq/wk vs < 0.8 freq/wk) | 4.48 (2.05-9.79) | 6 | Age, sex, education, smoking, intakes of alcohol, energy, fruit and vegetable intake |
Li et al[36] | 1997-2000 | C | All:1248 | 1248 | Questionnaire 12 items | Sowbelly (daily vs < 1/wk) | 2.28 (1.6-3.3) | 5 | Age, sex, income, residence, occupation, alcohol, tobacco |
Takezaki et al[37] | 1995-2000 | C | All: 199 | 333 | Questionnaire19 items | Salted meat (≥ 1/wk vs < 1/mo) | 0.93 (0.38-2.29) | 6 | Age, sex, smoking, drinking |
Red meat | Processed meat | |||||||
Factors | Studies (n) | Ref. | RR (95%CI) | P for heterogeneity | Studies (n) | Ref. | RR (95%CI) | P for heterogeneity |
Histological subtypes | ||||||||
EAC | 9 | [11-13,15,20,22,24,25,32] | 1.42 (1.02-1.98) | 0.19 | 8 | [11-13,15,20,24,25,32] | 1.38 (1.07-1.78) | 0.3 |
ESCC | 9 | [11,12,16,17,19,21,23,27,29] | 1.55 (1.10-2.17) | 7 | [11,12,16,19,21,27,33] | 1.08 (0.80-1.44) | ||
Study location | ||||||||
Asia | 6 | [14,17,18,19,23,26] | 1.33 (1.09-1.62) | 0.67 | 5 | [19,33,34,36,37] | 1.09 (0.61-1.95) | 0.65 |
Europe | 6 | [11,13,20,21,27,30] | 1.33 (0.86-2.07) | 7 | [11,13,20,21,27,30,35] | 1.49 (0.99-2.23) | ||
United States | 7 | [12,15,22,24,25,31,32] | 1.32 (1.03-1.70) | 5 | [12,15,21,25,32] | 1.30 (1.08-1.57) | ||
South America | 3 | [16,28,29] | 2.20 (0.48-10.04) | 1 | [16] | 0.76 (0.51-1.13) | ||
Sex | ||||||||
Male | 3 | [11,23,26] | 1.26 (0.66-2.41) | 0.88 | 2 | [11,33] | 1.24 (0.58-2.65) | 0.14 |
Female | 2 | [11,23] | 1.31 (0.78-2.21) | 1 | [11] | 0.61 (0.33-1.13) | ||
Both | 19 | [12-22,24,25,27-32] | 1.42 (1.17-1.71) | 16 | [12,13,15,16,19-21,24,25,27,30,32,34-37] | 1.43 (1.15-1.77) | ||
Study quality1 | ||||||||
≥ 7 | 8 | [11-14,16,18,20,22] | 1.60 (1.20-2.13) | 0.23 | 6 | [11-13,16,20,25] | 1.20 (0.88-1.62) | 0.42 |
< 7 | 14 | [15,17,19,21,23-32] | 1.25 (1.02-1.54) | 12 | [15,19,21,24,27,30,32-37] | 1.43 (1.11-1.86) |
- Citation: Choi Y, Song S, Song Y, Lee JE. Consumption of red and processed meat and esophageal cancer risk: Meta-analysis. World J Gastroenterol 2013; 19(7): 1020-1029
- URL: https://www.wjgnet.com/1007-9327/full/v19/i7/1020.htm
- DOI: https://dx.doi.org/10.3748/wjg.v19.i7.1020