| Literature DB >> 25363316 |
Wendong Zhang1, Tao Geng2, Wenfei Han1, Huiqin Dou3.
Abstract
BACKGROUND: The association between tea intake and risk of oral, pharyngeal, and laryngeal carcinoma is still unclear. The aim of this meta-analysis was to quantify the effect of tea consumption on the incidence of oral, pharyngeal, and laryngeal cancer to provide a better understanding on this issue. MATERIAL/Entities:
Mesh:
Substances:
Year: 2014 PMID: 25363316 PMCID: PMC4228949 DOI: 10.12659/MSM.892333
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1PRISMA diagram of included studies.
Characters of the included studies.
| Type | Author | Year | Study design | Age (year) | No. of case | Stratification | Adjusted factors |
|---|---|---|---|---|---|---|---|
| Oral | Notani PN, et al. | 1987 | Hospital/Population CC Restropective | <40~>60 | 278 | 2, >2 cups/D | Age and tobacco habits |
| Franceschi S, et al. | 1992 | Hospital prospective | <75 | 206 | 2, Intermediate, low | Age, area of residence, occupation, smoking, and alcohol habits | |
| Pintos J, et al. | 1994 | Hospital restropective | <54~>75 | 169 | 3, Never, ≤ 1,≥2 times/W | Tabcco, alcohol, income, rural residency, 10 dietary variables and consumption of other nonalcohol beverages | |
| Bundgaard T, et al. | 1995 | Population restropective | <45~>75 | 161 | 2, Nondrinker, drinker | Lifetime consumption of tobacco and alcohol | |
| Badawi AF, et al. | 1998 | Hospital restropective | 47+15 | 42 | 2, <3, >3 cup/D | NA | |
| Galeone C, et al. | 2010 | Pooled data of 9 CC restropective | 18–80 | 1130 | 3 Never, ≤1, >1 cups/D | Age, sex, race/ethnicity, edu-cation, study, cigarette smoking (pack-years), duration of cigar smoking, duration of pipe smoking, alcohol intake, weight, and vegetable and fruit intake | |
| Radoï L, et al. | 2013 | Population restropective | <50~>70 | 689 | 4 Never, <1, 1–2, >2 cups/D | Age, gender, area of residence, tobacco smoking (duration, quantity and status), alcohol consumption (quantity), education level, BMI two years before the interview and lifetime cumulative consumption of coffee | |
| Fu JY, et al. | 2013 | Hospital restropective | 50~70 | 723 | 3 <4, 4–7, ≥8 cups/D | Age, region, education, smoking and alcohol drinking | |
| Franco EL, et al. | 1989 | Hospital restropective | <40~>70 | 232 | 3, <1, 1–3, >30 cup/M | Age, sex, study site, and admission period | |
| Zheng T, et al. | 1993 | Hospital restropective | 18~80 | 404 | 2 Black, <1, >1 M; Green, <1, ≥1 M | Tobacco smoking, alcohol drinking, inadequate dentition, years of education, Quetelet Index, sex and age | |
| Zheng W, et al. | 1996 | Population prospective | 55–69 | 71 | 4, Never/monthly, weekly, 1 cup/D, ≥2 cup/D | Age, education, smoking status, pack-years of smoking, physical acttvtty, a] fruit and vegetable Intake, walst/hlp ratio, and family history of cancer | |
| Ide R, et al. | 2007 | Population prospective | 40–79 | 37 | 4, <1, 1–2, 3–4, >5 cup/D | Sex, age; smoking status; alcohol consumption; consumption of coffee, consumption of green/yellow vegetables, salty foods, and fruits | |
| Ren JS, et al. | 2010 | Population prospective | 50–71 | 392 | 5, None, <1 cup/M, 1–3 cups/M 1–6 cups/W, ≥1 cup/d | Age, sex, tobacco smoking, alcohol drinking, BMI, education, ethnicity, usual physical activity throughout the D, vigorous physical activity and the daily intake of fruit, vegetables, red meat, white meat and calories | |
| OP | Franceschi S, et al. | 1999 | Population restropective | 22–77 | 598 | 1 2 3 4 5, cup/w | Age, centre, sex, education, smoking habit, total energy and alcohol intake |
| Mashberg A, et al. | 1993 | Hospital restropective | 37–80 | 359 | 3; 0, 1–2, >3 cup/D | Age, race, tobacco smoking, and alcohol drinking | |
| Tavani A, et al. | 2003 | Hospital CC restropective | <80 | 749 | 2, < 1, ≥1 cups/D | Terms for centre, age, sex, education, tobacco smoking, alcohol drinking, and intake of fruit and vegetables | |
| De Stefani E, et al. | 2005 | Hospital CC restropective | 30–89 | 230 | 2, Nondrinker, drinker | Age, residence, urban/rural status, education, body mass index, smoking status, years since quitting, number of cigarettes smoked perD, alcohol drinking, and total energy intake | |
| La Vecchia C, et al. | 1992 | Population CC restropective | <85 | 119 | 2, Nondrinker, drinker | Age, sex, area of residence, education, smoking, and coffee consumption | |
| Hildebrand JS, et al. | 2013 | Population cohort prospective | >35 | 868 | <1 cup/D 1–2 cups/D >2 cups/D | Age, sex, race, education, body mass index, alcohol use, smoking, vegetable intake, and intake of the other beverages | |
| Pharynx | Notani PN, et al. | 1987 | Hospital/population CC | <40~>60 | 225 | 2, >2 cups/D | Age and tobacco habits |
| Pintos J, et al. | 1994 | Hospital CC restropective | <54~>75 | 112 | 3, Never ≤1, >1 cups/D | Tabcco, alcohol, income, rural residency, 10 dietary variables and consumption of other nonalcohol beverages | |
| Galeone C, et al. | 2010 | Pooled data of 9 CC restropective | 18–80 | 2023 | 3 Never, ≤1, >1 cups/D | Age, sex, race/ethnicity, edu-cation, study, cigarette smoking (pack-years), duration of cigar smoking, duration of pipe smoking, alcohol intake, weight, and vegetable and fruit intake | |
| Ren JS, et al. | 2010 | Population cohort prospective | 50–71 | 179 | 5, None, <1 cup/M, 1–3 cups/M 1–6 cups/W, ≥1 cup/d | Age, sex, tobacco smoking, alcohol drinking, BMI, education, ethnicity, usual physical activity throughout the D, vigorous physical activity and the daily intake of fruit, vegetables, red meat, white meat and calories | |
| Laeynx | Notani PN, et al. | 1987 | Hospital/population CC | <40~>60 | 80 | 2, >2 cups/D,. <2 cups/D | Age and tobacco habits |
| Pintos J, et al. | 1994 | Hospital CC restropective | <54~>75 | 97 | 3, Never ≤1, >1 cups/W | Tobacco, alcohol, income, rural residency, 10 dietary variables and consumption of other nonalcohol beverages | |
| Galeone C, et al. | 2010 | Pooled data of 9 CC restropective | 18–80 | 1178 | 3, Never, ≤1, >1/W | Age, sex, race/ethnicity, education, study, cigarette smoking (pack-years), duration of cigar smoking, duration of pipe smoking, alcohol intake, weight, and vegetable and fruit intake. | |
| La Vecchia C, et al | 1992 | Population CC restropective | <85 | 149 | 2, Nondrinker, drinker | Age, sex, area of residence, education, smoking, and coffee consumption | |
| Kapil U, et al | 2005 | Hospital CC restropective | 41–80 | 305 | 2, Nondrinker, drinker | NA | |
| Ren JS, et al | 2010 | Population cohort rrospective | 50–71 | 179 | 5, None, <1 cup/M, 1–3 cups/M 1–6 cups/W, ≥1 cup/D | Age, sex, tobacco smoking, alcohol drinking, BMI, education, ethnicity, usual physical activity throughout the D, vigorous physical activity and the daily intake of fruit, vegetables, red meat, white meat and calories |
C-C – case-control; OP – oropharyngeal; BMI – body mass index; W – week; M – month; D – day.
Figure 2The forest plot for detection of (A) tea intake and oral cancer risk, (B) tea intake and oral/pharynx carcinoma risk, (C) tea intake and pharynx carcinoma risk, and (D) tea intake and laryngeal carcinoma risk.
Figure 3Funnel plot for assessment of publication bias.