Research Article
Meta-Analysis and Data Mining-Based Study on the Expression Characteristics of Inflammatory Factors and Causes of Recurrence in Spinal Tuberculosis
Table 5
The statistical results of the spinal tuberculosis inflammatory factor data mining model.
| Main parameters | Slight inflammation | Significant inflammation | Severe inflammation | Early spinal tuberculosis | Point 95% CI estimate | Point estimate | 95% CI | Point 95% CI estimate | Point estimate | 95% CI |
| SEN | 0.80 | 0.71-0.87 | 0.84 | 0.81-0.86 | 0.87 | 0.84-0.89 | 0.89 | 0.87-0.91 | SPE | 0.76 | 0.69-0.82 | 0.77 | 0.72-0.80 | 0.84 | 0.80-0.87 | 0.89 | 0.86-0.92 | PLR | 3.90 | 2.60-5.80 | 4.70 | 4.0-5.5 | 6.3 | 5.0-7.9 | 8.2 | 6.6-10.1 | NLR | 0.30 | 0.23-0.37 | 0.28 | 0.23-0.34 | 0.19 | 0.15-0.23 | 0.12 | 0.09-0.16 | AUC | 0.85 | 0.82-0.88 | 0.88 | 0.84-0.90 | 0.92 | 0.89-0.94 | 0.95 | 0.93-0.97 | DOR | 13.008.00-21.0017.00 | 12.00-23.0034.00 | 23.00-50.0067.00 | 44.00-101.00 |
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