Copyright
©The Author(s) 2025.
World J Methodol. Dec 20, 2025; 15(4): 105493
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.105493
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.105493
Table 1 Baseline characteristics of patients included in final analysis
Characteristics | Frequency | Percentage |
Age (year), mean ± SD | 63.4 ± 8.3 | - |
Gender | ||
Male | 233 | 70.6% |
Female | 97 | 29.4% |
Race | ||
White/caucasian | 263 | 79.7% |
Black/afro-caribbean | 59 | 17.9% |
Other | 8 | 2.4% |
BMI (kg/m2), mean ± SD | 32.3 ± 6.2 | - |
BMI < 30 | 147 | 44.5% |
BMI ≥ 30 | 183 | 55.5% |
Number of comorbidities, mean ± SD | 0.7 ± 1.2 | - |
Comorbidities ≤ 3 | 317 | 96.1% |
Comorbidities > 3 | 13 | 3.9% |
KLG | ||
KLG < 2 | 69 | 20.9% |
KLG ≥ 2 | 261 | 79.1% |
PASE, mean ± SD | 163.1 ± 91.6 | - |
CESD, mean ± SD | 9.7 ± 9.1 | - |
Past steroid use | ||
No | 118 | 35.8% |
Yes | 38 | 11.5% |
Unknown | 174 | 52.7% |
WOMAC pain score, mean ± SD | 5.2 ± 4.1 | - |
Non-significant change | 246 | 74.5% |
Significant change | 84 | 25.5% |
Table 2 Data showing the characteristics of patients that achieved significant and non-significant change in Western Ontario and McMaster Universities Osteoarthritis pain scores, n (%)
Characteristics | Meaningful clinical significant change (MCID or MWPC) | Pearson correlation coefficient | P value | |
No | Yes | |||
Age (year), mean ± SD | 63.1 ± 7.8 | 64.3 ± 9.5 | 0.062 | 0.259 |
Gender | 0.005 | 0.932 | ||
Male | 174 (70.7) | 59 (70.2) | ||
Female | 72 (29.3) | 25 (29.8) | ||
Race | -0.016 | 0.772 | ||
White/caucasian | 199 (80.9) | 64 (76.2) | ||
Black/afro-caribbean | 40 (16.3) | 19 (22.6) | ||
Other | 7 (2.8) | 1 (1.2) | ||
BMI (kg/m2), mean ± SD | 32.2 ± 6.2 | 32.4 ± 6.4 | 0.0150 | 0.786 |
BMI < 30 | 114 (46.3) | 36 (42.9) | ||
BMI ≥ 30 | 132 (53.7) | 48 (57.1) | ||
Number of comorbidities, mean ± SD | 0.7 ± 1.1 | 0.7 ± 1.3 | 0.006 | 0.919 |
Comorbidities ≤ 3 | 239 (97.2) | 78 (92.9) | ||
Comorbidities > 3 | 7 (2.8) | 6 (7.1) | ||
KLG | 0.034 | 0.537 | ||
KLG < 2 | 53 (21.5) | 15 (17.9) | ||
KLG ≥ 2 | 193 (78.5) | 69 (82.1) | ||
PASE, mean ± SD | 159.8 ± 84.7 | 172.8 ± 109.5 | 0.062 | 0.262 |
CESD, mean ± SD | 9.5 ± 8.6 | 10.2 ± 10.2 | 0.034 | 0.543 |
Past steroid use | -0.013 | 0.820 | ||
No | 90 (36.6) | 28 (33.3) | ||
Yes | 25 (10.2) | 13 (15.5) | ||
Unknown | 131 (53.2) | 43 (51.2) | ||
WOMAC pain score, mean ± SD | 5.0 ± 4.9 | 5.8 ± 4.1 | 0.084 | 0.128 |
Table 3 Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and F-scores of the linear discriminant analysis model
Parameter | Mean | 95%CI |
Sensitivity | 29.6% | 23.6%-35.6% |
Specificity | 80.8% | 77.2%-84.5% |
Positive predictive value | 36.2% | 28.5%-43.9% |
Negative predictive value | 77.6% | 74.7%-80.6% |
Accuracy | 67.8% | 64.6%-70.9% |
F1 score | 30.8% | - |
F2 score | 29.7% | - |
- Citation: Musbahi O, Pouris K, Hadjixenophontos S, Al-Saadawi A, Soteriou I, Cobb JP, Jones GG. Machine learning for patient selection in corticosteroid decision making in knee osteoarthritis: A feasibility model. World J Methodol 2025; 15(4): 105493
- URL: https://www.wjgnet.com/2222-0682/full/v15/i4/105493.htm
- DOI: https://dx.doi.org/10.5662/wjm.v15.i4.105493