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©The Author(s) 2022.
World J Clin Cases. Nov 16, 2022; 10(32): 11743-11752
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11743
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11743
Table 5 Parameters used to establish the non-invasive prediction model
Parameter | B | S.E | Wals | df | Sig. | Exp (B) | 95%CI of EXP (B) |
PVD (mm) | -0.216 | 0.184 | 1.384 | 1 | 0.239 | 0.806 | 0.562-1.155 |
CTLV (cm3) | -0.013 | 0.004 | 9.465 | 1 | 0.002 | 0.987 | 0.979-0.995 |
CTSV (cm3) | 0.016 | 0.006 | 7.047 | 1 | 0.008 | 1.016 | 1.004-1.028 |
Rate of spleen volume change | -1.929 | 0.895 | 4.646 | 1 | 0.031 | 0.145 | 0.025-0.839 |
liver volume change (cm3) | 0.009 | 0.004 | 5.112 | 1 | 0.024 | 1.009 | 1.001-1.016 |
Constant | 12.925 | 4.414 | 8.573 | 1 | 0.003 | 410393 |
- Citation: Yang LB, Zhao G, Tantai XX, Xiao CL, Qin SW, Dong L, Chang DY, Jia Y, Li H. Non-invasive model for predicting esophageal varices based on liver and spleen volume. World J Clin Cases 2022; 10(32): 11743-11752
- URL: https://www.wjgnet.com/2307-8960/full/v10/i32/11743.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i32.11743