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Table 3 Univariate and multivariate logistic regression analysis for residual disease in the discovery and validation cohorts

From: Circulating small extracellular vesicles microRNAs plus CA-125 for treatment stratification in advanced ovarian cancer

 

Discovery set ( n = 30)

Validation set ( n = 154)

OR

95% CI

P value

OR

95% CI

P value

Univariate logistic regression analysis

 Age (years) (≥ 60 vs. < 60)

0.375

0.073 ~ 1.920

0.229

0.795

0.390 ~ 1.622

0.529

 Stage (IV vs. III)

5.091

0.496 ~ 52.287

0.130

10.601

3.537 ~ 31.775

 < 0.0001

 Lymph node metastasis (positive vs. negative)

1.375

0.286 ~ 6.603

0.690

2.561

1.275 ~ 5.144

0.0075

 P53 mutation (Positive vs. Negative)

0.762

0.179 ~ 3.241

0.712

1.167

0.519 ~ 2.623

0.710

 Serum CA-125 (≥ 600 vs. < 600 U/ml)

5.688

0.939 ~ 34.458

0.042

4.767

2.261 ~ 10.054

 < 0.0001

 4-miRNA panel (High vs. Low risk)

91

7.348 ~ 1126.947

 < 0.0001

29.721

12.299 ~ 71.826

 < 0.0001

Multivariate logistic regression analysis

 Age (years) (≥ 60 vs. < 60)

1.156

0.862 ~ 1.551

0.342

0.963

0.844 ~ 1.100

0.581

 Stage (IV vs. III)

0.863

0.597 ~ 1.247

0.441

1.169

1.005 ~ 1.359

0.045

 Lymph node metastasis (Positive vs. Negative)

1.048

0.787 ~ 1.395

0.753

1.142

1.005 ~ 1.297

0.044

 P53 mutation (Positive vs. Negative)

0.952

0.740 ~ 1.226

0.709

1.030

0.899 ~ 1.180

0.672

 Serum CA-125 (≥ 600 vs. < 600 U/ml)

1.047

0.785 ~ 1.395

0.759

1.249

1.096 ~ 1.424

0.001

 4-miRNA panel (High vs. low risk)

2.415

1.779 ~ 3.279

 < 0.0001

1.866

1.649 ~ 2.110

 < 0.0001

  1. Significant P values in bold, OR odds ratio, CI confidence interval