Copyright
©The Author(s) 2024.
World J Gastroenterol. Oct 28, 2024; 30(40): 4354-4366
Published online Oct 28, 2024. doi: 10.3748/wjg.v30.i40.4354
Published online Oct 28, 2024. doi: 10.3748/wjg.v30.i40.4354
Characteristics | OS | PFS | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Sex | 1.07 (0.72-1.59) | 0.72 | 1.18 (0.82-1.7) | 0.367 |
Age | 0.99 (0.97-1) | 0.144 | 0.98 (0.97-1) | 0.024 |
Operation | 0.81 (0.55-1.2) | 0.299 | 0.85 (0.59-1.22) | 0.376 |
Smoking | 0.85 (0.56-1.29) | 0.444 | 0.85 (0.58-1.26) | 0.425 |
Alcohol drinking | 0.76 (0.46-1.26) | 0.285 | 0.88 (0.56-1.38) | 0.575 |
BMI | 0.92 (0.86-0.98) | 0.006 | 0.93 (0.88-0.99) | 0.018 |
Number of metastatic site | 1.68 (1.13-2.49) | 0.01 | 1.41 (0.97-2.06) | 0.07 |
LMR | 0.91 (0.81-1.01) | 0.085 | 0.93 (0.84-1.03) | 0.157 |
DIR | 0.78 (0.23-2.66) | 0.696 | 0.9 (0.29-2.73) | 0.846 |
PNI | 0.94 (0.91-0.97) | < 0.001 | 0.97 (0.94-0.99) | 0.019 |
AGR | 0.76 (0.37-1.53) | 0.438 | 0.93 (0.48-1.77) | 0.815 |
APRI | 0.91 (0.23-3.59) | 0.889 | 0.78 (0.21-2.87) | 0.708 |
RPR | 3.19 (0.34-29.61) | 0.308 | 1.82 (0.19-17.8) | 0.607 |
PLPR | 1.18 (1.05-1.33) | 0.005 | 1.13 (1-1.27) | 0.055 |
APR | 1.04 (0.96-1.13) | 0.359 | 1.01 (0.93-1.11) | 0.757 |
Eosinophil | 1.11 (0.38-3.22) | 0.843 | 1.08 (0.4-2.9) | 0.876 |
Basophilic granulocyte | 0.04 (0-202.01) | 0.453 | 0.02 (0-73.72) | 0.356 |
RBC | 0.64 (0.48-0.85) | 0.002 | 0.68 (0.52-0.88) | 0.004 |
Mean corpuscular volume | 1.02 (0.99-1.04) | 0.167 | 1.02 (1-1.04) | 0.098 |
Mean corpuscular hemoglobin | 1.04 (0.98-1.1) | 0.192 | 1.05 (1-1.1) | 0.072 |
Platelet crit | 2.49 (0.38-16.37) | 0.343 | 2.46 (0.42-14.41) | 0.317 |
γ-glutamyl transpeptidase | 1 (1-1) | 0.415 | 1 (1-1) | 0.866 |
Urea | 0.92 (0.82-1.03) | 0.136 | 0.92 (0.83-1.02) | 0.132 |
Creatinine | 1 (0.99-1.01) | 0.836 | 1 (0.99-1.01) | 0.702 |
Carbondioxide combining power | 1.01 (0.94-1.07) | 0.854 | 1.01 (0.95-1.07) | 0.759 |
Glucose | 0.95 (0.85-1.07) | 0.41 | 0.94 (0.84-1.05) | 0.263 |
Kalium ion | 0.71 (0.45-1.13) | 0.148 | 0.75 (0.49-1.15) | 0.194 |
Natrium ion | 0.98 (0.92-1.04) | 0.536 | 1 (0.94-1.07) | 0.917 |
Chloride ion | 0.95 (0.9-1.01) | 0.082 | 0.96 (0.91-1.02) | 0.179 |
Calcium ion | 0.25 (0.06-1.05) | 0.059 | 0.5 (0.14-1.78) | 0.286 |
Phosphonium ion | 0.9 (0.32-2.52) | 0.845 | 1.04 (0.41-2.68) | 0.93 |
Magnesian ion | 0.32 (0.06-1.74) | 0.186 | 0.74 (0.15-3.77) | 0.718 |
Carcinoembryonic antigen | 1 (1-1) | 0.907 | 1 (1-1) | 0.515 |
Carbohydrate antigen 199 | 1 (1-1) | 0.193 | 1 (1-1) | 0.441 |
- Citation: Li HW, Zhu ZY, Sun YF, Yuan CY, Wang MH, Wang N, Xue YW. Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors. World J Gastroenterol 2024; 30(40): 4354-4366
- URL: https://www.wjgnet.com/1007-9327/full/v30/i40/4354.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i40.4354