Retrospective Study
Copyright ©The Author(s) 2019.
World J Gastroenterol. Nov 21, 2019; 25(43): 6451-6464
Published online Nov 21, 2019. doi: 10.3748/wjg.v25.i43.6451
Table 1 General clinicopathological data, n (%)
VariableAll patients (n = 1608)Training set (n = 1104)Testing set (n = 504)
Age (yr)
< 57593 (36.9)413 (37.4)180 (35.7)
57-74838 (52.1)565 (51.2)273 (54.2)
> 74177 (11.0)126 (11.4)51 (10.1)
Sex
Female412 (25.6)299 (27.1)113 (22.4)
Male1196 (74.4)805 (72.9)391 (77.6)
BMI
< 18.5156 (9.7)98 (8.9)58 (11.5)
18.5-23.5960 (59.7)670 (60.7)290 (57.5)
> 23.5492 (30.6)336 (30.4)156 (31.0)
CEA
< 2.8932 (58.0)626 (56.7)306 (60.7)
2.8-4.8328 (20.4)226 (20.5)102 (20.2)
> 4.8348 (21.6)252 (22.8)96 (19.0)
CA199
< 15.01043 (64.9)696 (63.0)347 (68.8)
15.0-39.2348 (21.6)255 (23.1)93 (18.5)
> 39.2217 (13.5)153 (13.9)64 (12.7)
AFP
< 2496 (30.8)344 (31.2)152 (30.2)
2-5.29916 (57.0)631 (57.2)285 (56.5)
> 5.3196 (12.2)129 (11.7)67 (13.3)
NLR
< 1.91632 (39.3)422 (38.2)210 (41.7)
1.91-3.87753 (46.8)525 (47.6)228 (45.2)
> 3.87223 (13.9)157 (14.2)66 (13.1)
PLR
< 89.5258 (16.0)177 (16.0)81 (16.1)
89.5-162.3777 (48.3)540 (48.9)237 (47.0)
>162.3573 (35.6)387 (35.1)186 (36.9)
AGR
< 6.59474 (29.5)332 (30.1)142 (28.2)
6.59-7.81612 (38.1)426 (38.6)186 (36.9)
> 7.81522 (32.5)346 (31.3)176 (34.9)
PNI
< 371495 (30.8)347 (31.4)148 (29.4)
371-430771 (47.9)531 (48.1)240 (47.6)
> 430342 (21.3)226 (20.5)116 (23.0)
ASA
I983 (61.1)677 (61.3)306 (60.7)
II561 (34.9)379 (34.3)182 (36.1)
III-IV64 (4.0)48 (4.3)16 (3.2)
Comorbidity
No1133 (70.5)779 (70.6)354 (70.2)
Yes475 (29.5)325 (29.4)150 (29.8)
Primary site
Lower671 (41.7)476 (43.1)195 (38.7)
Middle350 (21.8)231 (20.9)119 (23.6)
Upper401 (24.9)257 (23.3)144 (28.6)
Overlapping186 (11.6)140 (12.7)46 (9.1)
Tumor size (mm)
< 30578 (35.9)404 (36.6)174 (34.5)
30-60711 (44.2)477 (43.2)234 (46.4)
> 60319 (19.8)223 (20.2)96 (19.0)
cT
T1167 (10.4)108 (9.8)59 (11.7)
T2185 (11.5)135 (12.2)50 (9.9)
T3429 (26.7)292 (26.4)137 (27.2)
T4827 (51.4)569 (51.5)258 (51.2)
cN
N0662 (41.2)457 (41.4)205 (40.7)
N1376 (23.4)257 (23.3)119 (23.6)
N2362 (22.5)245 (22.2)117 (23.2)
N3208 (12.9)145 (13.1)63 (12.5)
Follow-up duration (mo)48 (3-91)48 (3-91)50 (3-89)

  • Citation: Que SJ, Chen QY, Qing-Zhong, Liu ZY, Wang JB, Lin JX, Lu J, Cao LL, Lin M, Tu RH, Huang ZN, Lin JL, Zheng HL, Li P, Zheng CH, Huang CM, Xie JW. Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer. World J Gastroenterol 2019; 25(43): 6451-6464
  • URL: https://www.wjgnet.com/1007-9327/full/v25/i43/6451.htm
  • DOI: https://dx.doi.org/10.3748/wjg.v25.i43.6451