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. 2020 Jul 24;20:689. doi: 10.1186/s12885-020-07139-y

Table 1.

Characteristic of studies included in the meta-analysis

First author, publication year Country Sample size Male/female Mean age (year) Average follow-up duration (year) Effect measure Diabetes assessment Adjusted factors
Coughlin, 2004 [26] USA 1,056,243 467,922/588321 56.7 12.5 RR Self-report Age, smoking, race, BMI, exercise, education
Yagyu, 2004 [27] Japan 113,394 47,673/65721 40–89 9.7 HR Self-report Age, gender, history of hepatic disease
Swerdlow, 2005 [28] UK 28,900 15,688/13212 NA 18.0 SMR Medical record Age, region, duration
Tseng, 2009 [34] Taiwan 244,920 113,347/131573 NA 12 SMR Medical record Age, gender
Lam, 2011 [29] Asia, Australia 367,361 216,743/150618 48 4 HR Self-report or WHO diagnostic criteria Age
Seshasai, 2011 [30] Members of ERFC 820,900 426,868/394032 55 NA HR Medical record Age, gender, smoking, BMI
Campbell, 2012 [35] USA 1,053,831 467,143/586688 63.1 12.1 RR Self-report Age, BMI, education, exercise, NSAIDs, alchhol
Currie, 2012 [31] UK 112,408 54,086/58322 67.8 2 HR Read code classification Age, gender, smoking, Charlson comorbidity index, year of diagnosis
Harding, 2015 [32] Australia 953,382 506,312/447070

T1DM: 27.4

T2DM: 60.4

10 SMR Medical record Age
Chen, 2017 [33] Asia 771,297 391,619/379678 53.9 12.7 HR Self-report Age, gender, BMI, smoking, alcohol, education, region

ERFC Emerging Risk Factors Collaboration, T1DM Type 1 Diabetes Mellitus, T2DM Type 2 Diabetes Mellitus, RR Relative Risk, HR Hazard Ratio, SMR Standard Mortality Ratio, WHO World Health Organization, BMI Body Mass Index, NSAIDs Nonsteroidal Anti-inflammatory Drugs