Table 1 Characteristics of included studies (part 1)
From: Atopic dermatitis and risk of autoimmune diseases: a systematic review and meta-analysis
Study | Location | Study design | Assessment of AD | Assessment of AID | Cases (AD) | Control | ||||
|---|---|---|---|---|---|---|---|---|---|---|
Total, n | Age (Mean ± SD), y | Female (%) | Total, n | Age (Mean ± SD), y | Female (%) | |||||
Shalom et al. [17] 2020 | Israel | Cross-sectional | Dermatologist | Gastroenterologist | 116,816 | 21.4 ± 20.1 | 61,892 (53.0) | 116,812 | 21.4 ± 20.1 | 61,889 (53) |
Narla et al. [20] 2018 | USA | Cross-sectional | ICD-9 | ICD-9 | 87,053,155 | NA | NA | 87,033,669 | NA | NA |
Egeberg et al. [11] 2017 | Denmark | Case–control | ICD-10 | ICD-10 | 7,937 | 34.3 ± 14.1 | 4,901 (61.8) | 79,370 | 34.3 ± 14.1 | 49,010 (61.8) |
Andersen et al. [12] 2016 | Denmark | Case–control | ICD-10 | ICD-10 | 8,112 | 42.4 ± 15.2 | 4,982 (61.4) | 40,560 | 42.4 ± 15.2 | 24,910 (61.4) |
Radtke et al. [10] 2016 | Germany | Case–control | ICD-10 | ICD-10 | 48,140 | NA | NA | 1,301,531 | NA | NA |
Augustin et al. [14] 2015 | Germany | Case–control | ICD-10 | ICD-10 | 30,354 | NA | NA | 262,827 | NA | NA |
Wu et al. [18] 2014 | China Taiwan | Case–control | ICD-9 | ICD-9 | 41,950 | 34.7 ± 23.8 | 22,775 (54.3) | 167,800 | 34.7 ± 23.8 | 91,100 (54.29) |
Soh et al. [16] 2020 | Korea | Cohort | ICD-10 | ICD-10 | 1,557,435 | NA | NA | 8,366,086 | NA | 3,618,584 (43.2) |
Wei et al. [15] 2020 | China Taiwan | Cohort | ICD-9 | ICD-9 | 40,307 | 20.6 (8.8–37.9) | 22,546 (55.9) | 161,228 | 20.6 (8.8–37.9) | 90,184 (55.9) |
Krishna et al. [9] 2019 | UK | Cohort | Medical records | Medical records | 1,393,570 | 29.8 (25.3) | 754,293 (54.1) | 2,170,618 | 32.7 (25.5) | 1,167,859 (53.8) |
Drucker et al. [21] 2017 | USA | Cohort | Self-reported | Self-reported | 9,234 | 54.4 (4.6) | 9,234 (100) | 78,172 | 54.5 (4.7) | 78,172 (100) |
Schmitt et al. [13] 2016 | UK | Cohort | ICD-10 | ICD-10 | 49,847 | NA | 29,231 (58.6) | 605,968 | NA | 295,510 (48.8) |
Lai et al. [22] 2015 | Canada | Cohort | ICD-9 | ICD-9 | 18,907 | NA | NA | 170,238 | 46.6 ± 17.4 | 92,736 (54.5) |
Wei et al. [19] 2014 | China Taiwan | Cohort | ICD-9 | ICD-9 | 192,357 | 3.2 ± 0.04 | 89,749 (46.7) | 769,428 | 3.3 ± 0.04 | 358,995 (46.7) |