Table 1 Datasets and found proportions of diabetes subgroups reported in the literature
From: Machine learning based study for the classification of Type 2 diabetes mellitus subtypes
Reference | Database/study | Origin | N | SAID (%) | MARD (%) | MORD (%) | SIDD (%) | SIRD (%) |
|---|---|---|---|---|---|---|---|---|
[8] | ANDIS | Sweden | 8980 | 6.4 | 39.1 | 21.6 | 17.5 | 15.3 |
SDR | 1466 | 10.1 | 34.4 | 18.3 | 20.4 | 16.8 | ||
ANDIU | 844 | 7.6 | 41.7 | 21.0 | 14.6 | 15.2 | ||
DIREVA (newly diagnosed) | 878 | 9.9 | 47.3 | 22.8 | 8.9 | 11.2 | ||
DIREVA (longer-term) | 2607 | 14.7 | 41.0 | 19.8 | 14.0 | 10.6 | ||
[32] | ADOPT | International | 4003 | 4.2 | 33.8 | 21.4 | 20.2 | 20.4 |
RECORD | 4148 | NA | 36.6 | 20.5 | 23.5 | 19.4 | ||
[33] | GDS | Germany | 1105 | 22.4 | 34.9 | 29.2 | 2.5 | 11.0 |
[34] | GDS | Germany | 414 | 21.0 | 35.0 | 32.0 | 3.0 | 9.0 |
[36] | Retrospective study | China | 14624 | 6.2 | 30.9 | 21.6 | 24.8 | 16.6 |
[37] | Retrospective study | China | 1152 | 4.4 | 21.4 | 34.6 | 20.5 | 19.0 |
[9] | NHANES | USA | 1758 | NA | a39.7 | a21.4 | a15.0 | a23.9 |
ENSANUT | Mexico | 614 | NA | 15.8 | 32.2 | 41.9 | 10.1 | |
SIGMA | Mexico | 1521 | NA | 16.8 | 34.3 | 41.1 | 7.8 | |
MSC | Mexico | 331 | NA | 13.6 | 45.0 | 5.7 | 35.6 | |
CAIPaDi | Mexico | 1608 | NA | 11.5 | 39.8 | 43.0 | 5.7 | |
[38] | DCS | Netherlands | 2953 | NA | b48.1 | 17.6 | 12.7 | 21.6 |
GoDARTS | Scotland | 5509 | NA | b45.7 | 19.3 | 17.3 | 17.7 | |
ANDIS | Sweden | 7478 | NA | b51.5 | 23.2 | 15.9 | 9.4 | |
[39] | NHANES | USA | 5489 | NA | 25.6 | 30.1 | 23.5 | 20.8 |
[35] | GDS | Germany | 351 | 23.0 | 41.0 | 25.0 | 4.0 | 7.0 |
[40] | ORIGIN - All | International | 7017 | 3.4 | 38.1 | 22.7 | 22.7 | 13.0 |
ORIGIN - European | Europe | 3361 | 3.3 | 40.9 | 22.3 | 17.6 | 15.8 | |
ORIGIN - Latin American | Latin America | 2428 | 3.8 | 33.4 | 24.0 | 27.7 | 11.0 | |
[41] | FDEMC | Japan | 586 | 10.2 | 35.7 | 25.4 | 15.4 | 13.3 |