Copyright
©The Author(s) 2023.
World J Clin Cases. Nov 6, 2023; 11(31): 7543-7552
Published online Nov 6, 2023. doi: 10.12998/wjcc.v11.i31.7543
Published online Nov 6, 2023. doi: 10.12998/wjcc.v11.i31.7543
Figure 1 Screening process of sample.
DVT: Deep vein thrombosis.
Figure 2 Predictive nomogram for postoperative deep vein thrombosis in patients with craniotomy.
IPC: Intermittent pneumatic compression.
Figure 3
Calibration curve for nomogram of postoperative deep vein thrombosis in patients with craniotomy.
Figure 4 Validation of predictive model performance.
A: The receiver operating characteristic curve of the nomogram model. The area under the curve was used to evaluate the discrimination of the model; B: The decision curve analysis for nomogram to predict the risk of postoperative deep vein thrombosis in patients with craniotomy; C: The clinical impact curves for nomogram to predict the risk of postoperative deep vein thrombosis in patients with craniotomy. AUC: Area under the curve.
- Citation: Su ZJ, Wang HR, Liu LQ, Li N, Hong XY. Analysis of risk factors for postoperative deep vein thrombosis after craniotomy and nomogram model construction. World J Clin Cases 2023; 11(31): 7543-7552
- URL: https://www.wjgnet.com/2307-8960/full/v11/i31/7543.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v11.i31.7543