Study,Country,Article type,CAD subtype,Men,Duration,Age,OR,LL,UL,lnOR,SElnOR
"Pehrsson, 2005(men)",non-Asia,cohort,MI,100,9.3,N/A,1.08,1.04,1.11,0.076961041,0.016617169
"Pehrsson, 2005(women)",non-Asia,cohort,MI,0,9.3,N/A,1.15,1.09,1.21,0.139761942,0.026643537
"Erichsen, 2013",non-Asia,cohort,MI,63.8,3.1(0-33),69.4,1.08,1.05,1.11,0.076961041,0.014175982
"Rinde, 2017",non-Asia,cohort,MI,62,15.7,62,1.46,1.21,1.77,0.378436436,0.097030405
"Malmborg, 2018",non-Asia,cohort,MI,61.2,0.5-17,62.8,0.97,0.92,1.01,-0.030459207,0.023809168
"Thomas II, 2012",non-Asia,cohort,CHD,100,4,66,1.35,1.08,1.67,0.300104592,0.111189435
"Handy, 2016",non-Asia,cohort,CHD,47.1,10.2 ( IQ: 9.7-10.7 yrs),62.2,1.53,1.18,1.99,0.425267735,0.13332148
"Suzuki, 2017",Asia,cohort,CHD,59,2.8(1.82-3.67),65,1.42,1.02,1.96,0.350656872,0.166617818
"Vinter 2017(men,CAC1-99)",non-Asia,cohort,CHD,100,2.8 (IQ: 1.5-4.2),57.3,1.07,0.83,1.39,0.067658648,0.131539114
"Vinter 2017(men,CAC 100-399 )",non-Asia,cohort,CHD,100,2.8 (IQ: 1.5-4.2),61.4,1.24,0.94,1.63,0.21511138,0.140422301
"Vinter 2017(men,CAC 400-999 )",non-Asia,cohort,CHD,100,2.8 (IQ: 1.5-4.2),63.3,0.88,0.62,1.25,-0.127833372,0.178872284
"Vinter 2017(men,CAC>=1000 )",non-Asia,cohort,CHD,100,2.8 (IQ: 1.5-4.2),66.5,0.96,0.66,1.41,-0.040821995,0.193649273
"Vinter 2017(women,CAC1-99)",non-Asia,cohort,CHD,0,2.9(IQ: 1.7-4.3),62.1,0.96,0.77,1.19,-0.040821995,0.111050528
"Vinter 2017(women,CAC 100-399 )",non-Asia,cohort,CHD,0,2.9(IQ: 1.7-4.3),65.3,0.99,0.75,1.31,-0.010050336,0.142272758
"Vinter 2017(women,CAC 400-999 )",non-Asia,cohort,CHD,0,2.9(IQ: 1.7-4.3),68,1.11,0.76,1.62,0.104360015,0.193077295
"Vinter 2017(women,CAC>=1000 )",non-Asia,cohort,CHD,0,2.9(IQ: 1.7-4.3),70.4,1.16,0.73,1.83,0.148420005,0.23444559
"Kwa, 2020",Asia,cohort,CHD,72.1,4.56 ( IQ: 3.06กV6.13),63.5,1.06,1.04,1.09,0.058268908,0.011978822
"Peng, 2020(CAC 1-399)",non-Asia,cohort,CHD,74.3, 12.3กำ 3.9,56.5,1.1,0.95,1.28,0.09531018,0.076059534
"Peng, 2020(CAC400-999)",non-Asia,cohort,CHD,82.5, 12.3กำ 3.9,63,1.18,0.94,1.47,0.165514438,0.114065766
"Peng, 2020(CAC>1000)",non-Asia,cohort,CHD,86.3, 12.3กำ 3.9,66.3,1.51,1.19,1.91,0.412109651,0.120701514
"Dzaye, 2021(lung and CRC, CAC1-99)",non-Asia,cohort,CHD,47.3,12.9 กำ 3.1,66.2,1.2,0.81,1.78,0.182321557,0.200850611
"Dzaye, 2021((lung and CRC, CAC100-399)",non-Asia,cohort,CHD,47.3,12.9 กำ 3.1,66.2,1.87,1.2,2.92,0.625938431,0.226852566
"Dzaye, 2021((lung and CRC, CAC>=400)",non-Asia,cohort,CHD,47.3,12.9 กำ 3.1,66.2,2.01,1.2,3.35,0.698134722,0.26189765
"Dzaye, 2021(men-specific, CAC1-99)",non-Asia,cohort,CHD,100,12.9 กำ 3.1,65.1,1.52,1,2.3,0.418710335,0.212476817
"Dzaye, 2021(men-specific, CAC100-399)",non-Asia,cohort,CHD,100,12.9 กำ 3.1,65.1,1.07,0.62,1.85,0.067658648,0.27888302
"Dzaye, 2021(men-specific, CAC>=400)",non-Asia,cohort,CHD,100,12.9 กำ 3.1,65.1,1.13,0.65,1.95,0.122217633,0.280258237
"Dzaye, 2021(women-specific, CAC1-99)",non-Asia,cohort,CHD,0,12.9 กำ 3.1,64.3,0.76,0.44,1.3,-0.274436846,0.276363474
"Dzaye, 2021(women-specific, CAC100-399)",non-Asia,cohort,CHD,0,12.9 กำ 3.1,64.3,0.54,0.24,1.19,-0.616186139,0.408436138
"Dzaye, 2021(women-specific, CAC>=400)",non-Asia,cohort,CHD,0,12.9 กำ 3.1,64.3,1.13,0.51,2.51,0.122217633,0.406537578