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. 2025 Jun 25;15(6):2843–2854. doi: 10.62347/ANQD9699

Table 6.

Logistic regression model for predictors of oligo-progression

Variable Univariate analysis Multivariate analysis


ORs 95% CI P value ORs 95% CI P value
EGFR mutation type (L858R vs. 19del) 1.683 (0.672, 4.216) 0.266
Age (≥ 65 vs. < 65) 1.795 (0.670, 4.809) 0.245
Sex (female vs. male) 2.333 (0.919, 5.927) 0.075 2.277 (0.852, 6.086) 0.101
Smoking history (yes vs. no) 0.737 (0.233, 2.329) 0.604
Best response evaluation (PR vs. SD) 1.091 (0.387, 3.078) 0.869
Best response evaluation (PD vs. SD) 0.923 (0.255, 3.338) 0.903
Initial Oligometastatic status (yes vs. no) 2.333 (0.838, 6.497) 0.105 1.740 (0.595, 5.086) 0.311
Initial CNS metastasis (yes vs. no) 0.830 (0.331, 2.078) 0.690
Treatment line (subsequent line vs. first line) 1.055 (0.411, 2.711) 0.911
Disease stage (IV vs. IIIB/IIIC) 4.111 (1.186, 14.253) 0.026 3.912 (1.062, 14.408) 0.040

CNS, central nervous system; 95% CI, confidence interval; EGFR, epidermal growth factor receptor; ORs, odds ratio; PR, partial response; PD, progressive disease; SD, stable disease.