Background
Methods
Literature search
Data extraction
Statistical analysis
Results
Study characteristics
Author | Year | Country | Study type | Mean age | Male (%) | Sample size | Category of exposure (N) | Outcome | Adjusted variable | NOS score |
---|---|---|---|---|---|---|---|---|---|---|
Chiranjeev Dash [13] | 2014 | US | retrospective | 54.6 (8.5) | 0 (0) | 3668 | T2DM (804) | CRA (917) | age, educational status, body mass index (weight (kg)/height (m)2), physical activity, family history of colorectal cancer in a first-degree relative, menopausal status, smoking status, alcohol intake, total energy intake, red meat intake, fruit and vegetable intake, and regular aspirin use | 8 |
Heike Ursula [14] | 2012 | German | prospective | 61.5 | 670 (62) | 1554 | T2DM (166) | Colorectal neoplasia (389) | age and sex | 8 |
Tomomi Marugame [15] | 2002 | Japan | retrospective | 52.4 | 1389 (100) | 1389 | Newly diagnosed T2DM (41) | CRA (560), Proximal adenomas(254), Distal adenomas (306) | hospital, rank in the Self Defense Forces, alcohol use, and cigarette smoking | 7 |
Hongha T Vu [20] | 2014 | USA | retrospective | 46 | 92 (36.8) | 250 | T2DM (125) | CRA (56) | ethnicity, body mass index, smoking, and alcohol use | 7 |
Rodney Eddi [18] | 2012 | USA | retrospective | 71 | 442 (56.4) | 783 | T2DM (89) | Adenomatous polyps (261) | Age, Sex, TG, LDL, HDL, Smoking, Family history of CRC, Aspirin, NSAID, Statins | 7 |
Mehulkumar K. Kanadiya [19] | 2013 | American | retrospective | 60.63(9.20) | 1697 (49) | 3465 | T2DM (405) | CRA (852) | NA | 3 |
Joseph Carl Anderson [35] | 2011 | USA | retrospective | NA | 76 (38.0) | 290 | T2DM (46) | Any Sessile Serrated Adenomas (90) | NA | 7 |
Bouwens, M [36] | 2011 | NA | retrospective | 60 | 863 | 1836 | T2DM | Combined adenoma-serrated phenotype (139) | NA | 5a |
de Kort, S [37] | 2013 | Netherlands | retrospective | NA | NA | 3335 | T2DM (326) | CRA (1112) | age, gender, BMI and other relevant risk factors | 4a |
Jill E. Elwing [38] | 2006 | US | retrospective | 59.2 | 0 (0) | 600 | All diabetics (100) | Any Adenoma (159) | age, race, hypertension, hypercholesterolemia, BMI, and NSAID status | 7 |
Advanced adenoma (46) | ||||||||||
Kazushige Kawai [39] | 2012 | Japan | prospective | 63.1(10.5) | 109 (61.9) | 176 | T2DM (3888) | Polyp (69) | NA | 7 |
Suminori Kono [40] | 1998 | Japan | retrospective | 50–54 | 5193 (100) | 5193 | T2DM (166) | sigmoid colon adenomas (821) | body mass index (wt [kg]/ht [m]2), cigarette smoking, alcohol use, rank of the Self Defense Forces, and hospital. | 7 |
Takasei Nishii [41] | 2001 | Japan | retrospective | 48.4 | 951 (100) | 951 | T2DM (43) | Colon Adenomas(233) | Age- and BMI | 6 |
Sunghwan Suh [42] | 2011 | Korea | retrospective | 55.9 | 2528 (72.1) | 3505 | T2DM (509) | Multiple Adenomatous | sex, age, BMI, TC, HDL, TG, Fasting plasma glucose, HbA1c | 7 |
Polyps (509) | ||||||||||
Thomas R [43] | 2012 | NA | retrospective | 58.4 | 1230 (95) | 1295 | T2DM (350) | Advanced adenoma (243) | NA | 3a |
Wang, JH [44] | 2013 | China | retrospective | NA | NA | 470 | T2DM | CRA(235) | abdominal circumference, daily calories & fat intake, increased diastolic blood pressure, history of hypertension or fatty liver, family history of cancer in digestive system, LDL and hsCRP, while female and daily fiber intake | 6a |
Misciagna, G [16] | 2004 | Italy | retrospective | 57.5 | 154 (64.4) | 239 | Diabetes (34)/ Glucose (mg/100 ml) | CRA(153) | NA | 8 |
Diabetes and risk of colorectal adenoma
Subgroup analysis
Subgroup | Sample size | RR (95 % CI) | P value | Heterogeneity | ||
---|---|---|---|---|---|---|
χ
2
| I2 | P value | ||||
Sub-site of adenoma | ||||||
Advanced adenoma | 2145 | 1.41 (1.06–1.87) | 0.018 | 1.50 | 0.0 % | 0.473 |
Proximal adenoma | 9343 | 1.28 (0.88–1.87) | 0.199 | 10.89 | 72.4 % | 0.012 |
Distal adenoma | 9343 | 1.11 (0.89–1.38) | 0.353 | 3.63 | 17.3 % | 0.305 |
Colon adenoma | 11201 | 1.06 (0.73–1.53) | 0.758 | 10.72 | 72.0 % | 0.013 |
Multiple adenoma | 6840 | 1.95 (0.97–3.94) | 0.061 | 6.73 | 85.2 % | 0.009 |
Type of diabetes | ||||||
Known T2DM | 20326 | 1.56 (1.16–2.08) | 0.003 | 43.88 | 81.8 % | 0.000 |
Newly diagnosed T2DM | 1604 | 1.51 (1.16–1.97) | 0.002 | 0.00 | 0.0 % | 0.946 |
Gender | ||||||
Male | 7839 | 1.33 (0.99–1.80) | 0.059 | 4.74 | 36.7 % | 0.192 |
Female | 5135 | 1.29 (0.76–2.17) | 0.348 | 10.33 | 80.6 % | 0.006 |
Area | ||||||
Europe | 13527 | 1.27 (1.02–1.57) | 0.032 | 2.18 | 0.0 % | 0.336 |
USA | 5767 | 1.69 (1.14–2.51) | 0.009 | 32.18 | 84.5 % | 0.000 |
Asia | 11684 | 1.57 (1.21–2.05) | 0.001 | 13.23 | 62.2 % | 0.021 |
Study type | ||||||
Prospective study | 13871 | 1.27 (0.77–2.10) | 0.357 | 11.93 | 83.2 % | 0.003 |
Retrospective study | 17405 | 1.57 (1.30–1.89) | 0.000 | 25.40 | 60.6 % | 0.005 |
Population based study | 6122 | 1.46 (1.21–1.89) | 0.005 | 2.06 | 3 % | 0.357 |
Studies with high quality | 26046 | 1.64 (1.26–2.14) | 0.000 | 45.78 | 78.2 % | 0.000 |