Research Article
[Retracted] Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence
Table 1
Comparison of the baseline clinical characteristics.
| | | All subjects | RCCT cohort | Control cohort | |
| | Number of patients | 1967 | 237 | 1730 | | | Age at diagnosis (years) | 45.2 | 43.6 | 45.7 | 0.432 | | Sex (%) | | | | 0.038 | | Female | 1396 (70.97) | 172 (72.57) | 1224 (70.75) | | | Male | 571 (29.03) | 65 (27.43) | 506 (29.25) | | | BMI (kg/m2) | 21.32 ± 1.84 | 20.44 ± 1.71 | 21.44 ± 2.34 | 0.173 | | Smoking status (%) | 355 (18.05) | 50 (21.10) | 305 (17.63) | 0.346 | | Alcohol use status (%) | 318 (16.17) | 41 (17.30) | 277 (16.01) | 0.257 | | Hyperlipidemia (%) | 87 (4.42) | 22 (9.28) | 65 (3.76) | 0.022 | | Hypertension (%) | 294 (14.95) | 33 (13.92) | 261 (15.09) | 0.075 | | Diabetes mellitus (%) | 253 (12.86) | 48 (20.25) | 205 (11.85) | <0.001 | | Hypothyroidism (%) | 144 (7.32) | 29 (12.24) | 115 (6.65) | 0.009 | | Cardiovascular disease (%) | 102 (5.19) | 8 (3.38) | 94 (5.43) | 0.731 | | Physical demand (%) | | | | 0.517 | | Light | 1088 (55.31) | 131 (55.27) | 957 (55.32) | | | Hard | 879 (44.69) | 106 (44.73) | 773 (44.68) | |
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Data are reported as mean (±SD) or frequency/ratio. BMI: body mass index; SD: standard deviation.
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