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©The Author(s) 2019.
World J Gastroenterol. Oct 7, 2019; 25(37): 5655-5666
Published online Oct 7, 2019. doi: 10.3748/wjg.v25.i37.5655
Published online Oct 7, 2019. doi: 10.3748/wjg.v25.i37.5655
Table 1 Demographic and clinical characteristics of patients with advanced gallbladder adenocarcinoma and the calculation and rank of importance for prognostic factors in survival time
Variable | Value | Frequency, n (%) | Priori probability (%) | Posterior probability (%) | Importance | Rank |
Sex | 1 (male) | 261 (31.91) | 33.26 | 48.69 | 0.0274 | 16 |
2 (female) | 557 (68.09) | 66.72 | 54.05 | |||
Age | 1 (19-64) | 256 (31.30) | 30.84 | 39.55 | 0.1087 | 10 |
2 (65-75) | 258 (31.54) | 31.71 | 42.31 | |||
3 (76-97) | 304 (37.16) | 37.46 | 56.74 | |||
Grade | 1 (well) | 70 (8.56) | 8.36 | 43.75 | 0.1383 | 8 |
2 (moderately) | 363 (44.38) | 45.30 | 37.69 | |||
3 (poorly) | 376 (45.97) | 45.82 | 56.27 | |||
4 (undifferentiated) | 9 (1.10) | 0.52 | 66.67 | |||
Positive Ln | 0 (0) | 172 (21.03) | 65.26 | 47.93 | 0.0737 | 13 |
1 (1-3) | 229 (28.00) | 30.47 | 43.19 | |||
2 (> 3) | 27 (3.30) | 4.27 | 56.86 | |||
NA | 390 (47.68) | |||||
Number Ln | 0 (0) | 389 (47.56) | 46.52 | 56.93 | 0.1440 | 6 |
1 (1-3) | 266 (32.52) | 34.49 | 40.19 | |||
2 (4-6) | 76 (9.29) | 8.01 | 34.78 | |||
3 (> 6) | 87 (10.64) | 10.98 | 31.75 | |||
Surg Prim Site | 40 | 627 (76.65) | 77.00 | 49.32 | 0.1068 | 11 |
60 | 191 (23.35) | 23.00 | 38.64 | |||
Scope Reg Ln Sur | 0 | 387 (47.31) | 46.69 | 57.09 | 0.1824 | 4 |
1 | 5 (0.61) | 0.52 | 33.33 | |||
3 | 7 (0.86) | 1.05 | 16.67 | |||
4 | 264 (32.27) | 33.80 | 40.72 | |||
5 | 153 (18.70) | 17.94 | 33.98 | |||
6 | 1 (0.12) | |||||
7 | 1 (0.12) | |||||
Surg Oth Reg | 0 | 659 (80.56) | 79.97 | 48.80 | 0.1205 | 9 |
1 | 17 (2.08) | 2.44 | 42.86 | |||
2 | 121 (14.79) | 14.81 | 40.00 | |||
4 | 15 (1.83) | 2.09 | 33.33 | |||
5 | 6 (0.73) | 0.70 | 25.00 | |||
Seer historic stage | 1 | 197 (24.08) | 23.87 | 48.91 | 0.0292 | 15 |
2 | 514 (62.84) | 62.72 | 45.56 | |||
4 | 107 (13.08) | 13.41 | 49.35 | |||
Tumor size | 0 (0-10 mm) | 20 (2.44) | 3.49 | 39.69 | 0.0797 | 12 |
1 (11-30 mm) | 228 (27.87) | 40.64 | 42.98 | |||
2 (31-50 mm) | 181 (22.13) | 31.19 | 44.46 | |||
3(> 50 mm) | 132 (16.14) | 24.68 | 57.31 | |||
NA | 257 (31.42) | |||||
T stage | 300 (T3) | 768 (93.89) | 92.86 | 45.40 | 0.2045 | 3 |
400 (T4) | 50 (6.11) | 7.14 | 65.85 | |||
N stage | 0 (N0) | 534 (65.28) | 64.98 | 47.99 | 0.0321 | 14 |
100 (N1) | 284 (34.72) | 35.02 | 44.78 | |||
AJCC stage | 520 (stage 3A) | 515 (62.96) | 62.72 | 47.50 | 0.1423 | 7 |
530 (stage 3B) | 253 (30.93) | 30.14 | 41.04 | |||
720 (stage 4A) | 50 (6.11) | 7.14 | 68.85 | |||
Radiation | 0 (no) | 592 (72.37) | 71.78 | 56.07 | 0.3261 | 1 |
1 (yes) | 226 (27.63) | 28.22 | 23.46 | |||
Radiation sequence | 0 (no) | 592 (72.37) | 71.78 | 56.07 | 0.1805 | 5 |
2 (radiation before surgery) | 4 (0.49) | 0.35 | 50.00 | |||
3 (radiation after surgery) | 222 (27.14) | 27.87 | 23.12 | |||
Chemo- therapy | 0 (no) | 473 (57.82) | 57.14 | 58.84 | 0.2795 | 2 |
1(yes) | 345 (42.18) | 42.86 | 30.89 | |||
Vital status | 1 (Survival) | 197 (24.08) | ||||
4 (Dead) | 621 (75.92) | |||||
Survival months | ≤ 9 | 383 (46.82) | 46.86 | |||
> 9 | 435 (53.18) | 53.14 |
Table 2 Confusion matrix, reliability, and accuracy of Bayesian network model
Survival time (n) | ≤ 9 m (n = 114) | > 9 m (n = 130) | |
Confusion matrix (n) | ≤ 9 m (128) | 84 | 44 |
> 9 m (116) | 30 | 86 | |
Reliability (%) | ≤ 9 m (128) | 65.62% | 34.38% |
> 9 m (116) | 25.86% | 74.14% | |
Accuracy (%) | ≤ 9 m (128) | 73.68% | 33.85% |
> 9 m (116) | 26.32% | 66.15% |
Table 3 Survival prediction table as established by T stage, N stage, radiation, and chemotherapy
T stage | N stage | Radiation | Chemotherapy | > 9 m (%) |
3 | 0 | 0 | 0 | 41.35 |
3 | 0 | 0 | 1 | 58.29 |
3 | 0 | 1 | 0 | 75.42 |
3 | 0 | 1 | 1 | 76.62 |
3 | 1 | 0 | 0 | 34.59 |
3 | 1 | 0 | 1 | 64.08 |
3 | 1 | 1 | 0 | 69.71 |
3 | 1 | 1 | 1 | 80.71 |
4 | 0 | 0 | 0 | 28.50 |
4 | 0 | 0 | 1 | 44.14 |
4 | 0 | 1 | 0 | 63.44 |
4 | 0 | 1 | 1 | 64.95 |
4 | 1 | 0 | 0 | 14.85 |
4 | 1 | 0 | 1 | 37.03 |
4 | 1 | 1 | 0 | 43.14 |
4 | 1 | 1 | 1 | 57.97 |
- Citation: Geng ZM, Cai ZQ, Zhang Z, Tang ZH, Xue F, Chen C, Zhang D, Li Q, Zhang R, Li WZ, Wang L, Si SB. Estimating survival benefit of adjuvant therapy based on a Bayesian network prediction model in curatively resected advanced gallbladder adenocarcinoma. World J Gastroenterol 2019; 25(37): 5655-5666
- URL: https://www.wjgnet.com/1007-9327/full/v25/i37/5655.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i37.5655