| Literature DB >> 29606880 |
Peng Ma1, Shaojun Dai1, Can Jin1, Yonggang Yao1, Chuanxin Zou1.
Abstract
BACKGROUND: Previous studies have indicated that tooth loss is associated with colorectal cancer risk but have presented controversial results.Entities:
Keywords: colorectal cancer; dose–response relationship; meta-analysis; tooth loss
Year: 2018 PMID: 29606880 PMCID: PMC5868628 DOI: 10.2147/OTT.S151028
Source DB: PubMed Journal: Onco Targets Ther ISSN: 1178-6930 Impact factor: 4.147
Figure 1Flow diagram of the study selection process.
Characteristics of participants in the included studies on tooth loss in relation to risk of colorectal cancer
| Author (year) | Study design | Country | Sex of population | Age at baseline (years) | Number of participants | End points (cases) | Quality score |
|---|---|---|---|---|---|---|---|
| Hiraki et al | Case–control | Japan | Mix | 58 | 15,720 | Colon cancer (662) | 6 |
| Michaud et al | Cohort | USA | Male | 40–75 | 48,375 | Colorectal cancer (1,043) | 8 |
| Momen-Heravi et al | Cohort | USA | Female | 39–55 | 77,443 | Colorectal cancer (1,165) | 8 |
| Ren et al | Case–control | China | Mix | 40–79 | 6,619 | Colorectal cancer (1,063) | 6 |
| Ansai et al | Cohort | Japan | Mix | >80 | 697 | Colorectal cancer (414) | 6 |
| Hujoel et al | Cohort | USA | Mix | 25–74 | 11,328 | Colorectal cancer (3,962) | 7 |
Outcomes and covariates of the included studies on tooth loss in relation to risk of colorectal cancer
| Author (year) | End points | Data source | Category and relative risk (95% CI) | Covariates in fully adjusted model |
|---|---|---|---|---|
| Hiraki et al | Colon cancer | Population-based | <12 teeth lost, 1.0 (reference); >13–<24, 1.22 (0.97, 1.52); >19–<24, 1.11 (0.82, 1.50); edentulous, 0.92 (0.56, 1.51). | Adjusted for age, sex, smoking, and drinking status (never, former, and current), vegetable and fruit intake, BMI, and regular exercise |
| Michaud et al | Colorectal cancer | Self-administered | <7 teeth lost, 1.0 (reference); >8–<15, 0.93 (0.78, 1.12); >16–<32, 1.10 (0.87, 1.37). | Adjusted for age, race, physical activity, history of diabetes, alcohol, BMI, geographic location, height, calcium intake (quintiles), total caloric intake (quintiles), red meat intake (quintiles), fruit and vegetable intake (quintiles), vitamin D score, smoking history (never; past quit ≤10 years, and past quit >10 years; current 1–14 cigarettes/day [cig/d], 15–24 cig/d, ≥25 cig/d), and pack-years (continuous) |
| Momen-Heravi et al | Colorectal cancer | Population-based | Colorectal cancer: <7 teeth lost, 1.0 (reference); 8–15, 0.94 (0.80, 1.09); ≥16, 1.20 (1.04, 1.39). | Adjusted for age, race, smoking before age of 30 years, history of colorectal cancer in a parent or sibling, history of sigmoidoscopy/colonoscopy, current physical activity, regular aspirin use, multivitamin use, type 2 diabetes, alcohol consumption, adult BMI, energy-adjusted intake of total calcium, vitamin D, folate, red meat and processed meat, and postmenopausal hormone use |
| Ren et al | Colorectal cancer | Population-based | SWHS/SMHS study | In SMHS/SWHS, models were adjusted for income, education, BMI, exercise, smoking (never, former, and current), and red meat and fruit consumption |
| SCCS study | In SCCS, models were adjusted for occupation, income, education, and fruit and sweet beverage consumption |
Abbreviations: BMI, body mass index; SCCS, Southern Community Cohort Study; SMHS, Shanghai Men’s Health Study; SWHS, Shanghai Women’s Health Study.
Figure 2Forest plots of colorectal cancer for the highest versus lowest categories of tooth loss.
Abbreviation: RR, relative risk.
Figure 3Dose–response relationships between tooth loss and risk of colorectal cancer.
Stratified analyses of relative risk of colorectal cancer
| Cancer types | Number of reports | Relative risk (95% CI) | |||
|---|---|---|---|---|---|
| Colorectal cancer | 15 | 1.08 (1.02–1.15) | 0.225 | 20.5 | <0.001 |
| Subgroup analyses for colorectal cancer | |||||
| Colon cancer | 5 | 1.09 (1.02–1.17) | 0.330 | 14.2 | <0.001 |
| Rectal cancer | 3 | 1.08 (1.01–1.17) | 0.082 | 60.0 | <0.001 |
| Study location | |||||
| Caucasia | 7 | 1.18 (1.09–1.28) | 0.695 | 0.0 | <0.001 |
| Asia | 8 | 1.06 (1.02–1.10) | 0.946 | 0.0 | <0.001 |
| Study design | |||||
| Case–control | 7 | 1.05 (1.01–1.09) | 0.926 | 0.0 | <0.001 |
| Cohort | 8 | 1.17 (1.07–1.27) | 0.682 | 0.0 | <0.001 |
| Study quality | |||||
| Score ≥7 | 9 | 1.15 (1.05–1.24) | 0.679 | 0.0 | <0.001 |
| Score <7 | 6 | 1.08 (1.03–1.14) | 0.870 | 0.0 | <0.001 |
| Number of participants | |||||
| ≥10,000 | 8 | 1.16 (1.06–1.25) | 0.764 | 0.0 | <0.001 |
| <10,000 | 7 | 1.05 (1.01–1.10) | 0.557 | 0.0 | <0.001 |
| Number of cases | |||||
| ≥1,000 | 13 | 1.08 (1.02–1.15) | 0.125 | 32.2 | <0.001 |
| <1,000 | 2 | 1.04 (1.00–1.09) | 0.633 | 0.0 | <0.001 |
Results of analysis of publication bias in the meta-analysis
| Factor | Test | 95% CI | ||
|---|---|---|---|---|
| Tooth loss | Begg’s test | – | – | 0.621 |
| Egger’s test | −1.24 | −2.03, 0.55 | 0.239 |