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Table 2 Comparison of baseline characteristics between subgroups in the unadjusted and inverse probability weighting (IPW)-adjusted cohorts

From: Improving on-treatment risk stratification of cancer patients with refined response classification and integration of circulating tumor DNA kinetics

Covariates

Pre cfEBV DNA

Post-NAC MRI

Post-NAC cfEBV DNA

Response phenotypes

UN

IPWa

UN

IPWb

UN

IPWb

UN

IPWb

Age

0.51

0.59

0.58

0.83

0.19

0.85

0.14

0.59

Sex

0.71

0.53

0.15

0.58

0.18

0.77

0.08

0.16

Smoking

0.37

0.82

0.36

0.74

0.11

0.99

0.17

0.43

Alcohol

0.96

0.70

0.59

0.86

0.68

0.77

0.32

0.52

Pre cfEBV DNA

–

–

0.76

0.76

<0.01

0.99

<0.01

0.14

T stage

0.43

0.94

0.57

0.65

0.42

0.80

<0.01

0.23

N stage

<0.01

0.87

0.72

0.46

<0.01

0.94

<0.01

0.10

NAC cycles

0.94

0.95

0.02

0.40

0.17

0.97

0.02

0.22

NAC regimens

0.12

0.97

<0.01

0.29

0.27

0.87

0.03

0.09

CCD

0.71

0.46

0.27

0.29

0.53

0.83

0.03

0.10

  1. Abbreviations: CCD Cumulative cisplatin doses, cfEBV DNA Cell-free Epstein-Barr virus DNA, IPW Inverse probability weighting, MRI Magnetic resonance imaging, N Node, NAC Neoadjuvant chemotherapy, Pre Pretreatment, T Tumor, UN Unadjusted
  2. aThe following variables were adjusted via IPW algorithm: age (<45 vs. ≥45 years), sex (male vs. female), smoking (No vs. Yes), alcohol (No vs. Yes), T stage (T1-2 vs. T3-4), N stage (N0-1 vs. N2-3), NAC regimens (TPF vs. GP vs. TP vs. PF vs. others), NAC cycles (2 cycles vs. 3 cycles vs. 4 cycles), CCD (<160vs. ≥160 mg/m2). Two-sided P-values were calculated using the chi-square test
  3. bThe following variables were adjusted via IPW algorithm: age (<45 vs. ≥45 years), sex (male vs. female), smoking (No vs. Yes), alcohol (No vs. Yes), pretreatment EBV DNA (<2 vs. ≥2 × 103 copies/mL), T stage (T1-2 vs. T3-4), N stage (N0-1 vs. N2-3), IC regimens (TPF vs. GP vs. TP vs. PF vs. others), IC cycles (2 cycles vs. 3 cycles vs. 4 cycles), CCD (<160 vs. ≥160 mg/m2). Two-sided P-values were calculated using the chi-square test