Table 4 Univariate and multivariate Cox regression analysis for OS.

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 )

0.394

0.716

0.330–1.551

   

Sex

Female (vs. Male)

0.834

0.880

0.264–2.927

   

ASA-PS

2 or 3 (vs. 0or 1)

0.302

1.651

0.636–4.284

   

Body Mass Index

 ≥ 18.5 (vs. < 18.5)

0.721

0.856

0.364–2.014

   

Tumor location

Mt or Lt (vs. Ut)

0.694

1.237

0.428–3.579

   

Clinical tumor depth

cT3 (vs. T1-2)

0.862

1.194

0.162–8.819

   

Clinical lymph node metastasis

Presence (vs. absence)

0.077

2.210

0.896–5.451

0.040*

2.604

1.047–6.476

Clinical distant metastasis (Supravlavian Lymph node metastases)

Presence (vs. absence)

0.651

1.396

0.326–5.969

   

Thoracic apprach

OT (vs. MIE)

0.050

2.119

0.983–4.566

0.212

1.650

0.751–3.623

Variant in ATG2A_R478C

Presence (vs. absence)

0.002*

3.741

1.494–9.366

   

Variant in ULK2_1442-2G > T

Absence (vs. presence)

0.054

2.370

0.959–5.848

   

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)

0.054

2.371

0.959–5.860

0.029*

2.764

1.109–6.890

  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.