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. 2021 May 5;13:95. doi: 10.1186/s13195-021-00833-4

Table 3.

Frequencies of eligible candidates for clinical trial screening by year of birth and gender

All/YOB-gender (N) Age Comorbidity Medication MMSE Education All criteria
< 1925 (748) 97 (13%) 295 (39%) 435 (58%) 694 (93%) 321 (43%)* 10 (1%)
 Men (160) 22 (14%) 57 (36%) 86 (54%) 149 (93%) 93 (58%) 2 (1%)
 Women (588) 75 (13%) 238 (40%) 349 (59%) 545 (93%) 228 (39%) 8 (1%)
 OR [95%CI] 1.18 [0.70–1.99] 0.84 [0.581.22] 0.80 [0.561.15] 1.02 [0.502.05] 2.21 [1.543.16] 0.92 [0.194.36]
1925–1934 (3912) 2912 (74%) 1489 (38%) * 2486 (64%) 3772 (96%) 1985 (51%)* 426 (11%)
 Men (1163) 873 (75%) 408 (35%) 750 (64%) 1131 (97%) 771 (66%) 144 (12%)
 Women (2749) 2,039 (74%) 1081 (39%) 1736 (63%) 2641 (96%) 1,214 (44%) 282 (10%)
 OR [95%CI] 1.11 [0.941.30] 0.79 [0.680.92] 1.05 [0.901.22] 1.14 [0.761.72] 2.51 [2.172.90] 1.24 [1.001.53]
1935–1944 (3230) 3230 (100%) 1278 (40%) * 2115 (65%) 3148 (97%) 2,047 (63%)* 611 (19%)*
 Men (1019) 1016 (100%) 383 (38%) 690 (68%) 998 (98%) 760 (75%) 215 (21%)
 Women (2211) 2211 (100%) 895 (40%) 1425 (64%) 2150 (97%) 1287 (58%) 396 (18%)
 OR [95%CI] 1.00 [na] 0.84 [0.720.98] 1.13 [0.961.33] 1.14 [0.691.90] 2.11 [1.792.49] 1.23 [1.021.48]
1945–1959 (1492) 1091 (100%) 657 (44%) 1003 (67%) 1451 (97%) 1238 (83%)* 383 (26%)
 Men (524) 524 (100%) 234 (45%) 364 (69%) 511 (98%) 465 (89%) 136 (26%)
 Women (968) 967 (100%) 423 (44%) 639 (66%) 940 (97%) 773 (80%) 247 (26%)
 OR [95%CI] 1.00 [ na] 1.02 [0.821.26] 1.14 [0.901.43] 1.12 [0.572.20] 1.97 [1.442.69] 1.02 [0.801.30]
1960+ (211) 144 (68%) 72 (34%) 111 (53%) 204 (97%) 198 (94%) 21 (13%)
 Men (60) 42 (70%) 24 (40%) 35 (58%) 57 (95%) 55 (92%) 9 (15%)
 Women (151) 102 (68%) 48 (32%) 76 (50%) 147 (97%) 143 (95%) 19 (13%)
 OR [95%CI] 1.13 [0.58–2.20] 1.36 [0.722.54] 1.32 [0.722.44] 0.73 [0.105.39] 0.72 [0.153.37] 1.23 [0.522.89]

YOB, year of birth; MMSE, mini-mental state examination

Unless otherwise noted, data are absolute frequency (relative frequency %)

Asterisk (*) indicate p < 0.05 in test comparing eligibility between males and females by multivariable logistic regression (or univariable logistic regression for all criteria)