Table 3 Univariate and multivariate Cox regression analysis for RFS.

From: Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer

Factor

Category

Univariate

Multivariate

p value

HR

95% CI

p value

HR

95% CI

Age

 ≥ 70 (vs. < 70 )

0.216

0.679

0.365–1.261

   

Sex

Female (vs. Male)

0.788

0.880

0.364–2.240

   

ASA-PS

2 or 3 (vs. 0or 1)

0.619

1.205

0.577–2.518

   

Body Mass Index

 ≥ 18.5 (vs. < 18.5)

0.889

1.051

0.518–2.134

   

Tumor location

Mt or Lt (vs. Ut)

0.196

1.697

0.752–3.825

   

Clinical tumor depth

cT3 (vs. T1-2)

0.150

0.477

0.170–1.341

   

Clinical lymph node metastasis

Presence (vs. absence)

0.297

1.412

0.735–2.710

0.317

1.414

0.717–2.785

Clinical distant meastasis (Supravlavian Lymph node metastases)

Presence (vs. absence)

0.705

1.314

0.317–5.450

   

Thoracic apprach

OT (vs. MIE)

0.005*

2.315

1.266–4.237

0.018*

2.096

1.138–3.861

Variant in ATG2A_R478C

Presence (vs. absence)

0.025*

2.469

1.085–5.617

   

Variant in ULK2_1442-2G > T

Absence (vs. presence)

0.016*

2,.331

1.147–4.739

   

Either presence of variant in ATG2A_R478C or absence of variant in ULK2_1442-2G > T

(vs. Both of absence of variant in ATG2A_R478C and presence of variant in ULK2_1442-2G > T)

0.016*

2.331

1.146–4.470

0.046*

2.076

1.013–4.255

  1. HR: hazard ratio, CI: confidence interval, Ut: Upper thoracic, Mt: Middle thoracic, Lt: Lower thoracic, OT: Open thoracotomy, MIE: minimally invasive esophagectomy, *: p < 0.05.