Research Article
Identification of Factors for the Preoperative Prediction of Tumour Subtype and Prognosis in Patients with T1 Lung Adenocarcinoma
Table 4
Univariate and multivariate analysis to predict pathological subtype using optimal cut-off values.
| Variable | Cut-off value | Univariate | Multivariate | OR | 95% CI | P value | OR | 95% CI | P value |
| Age | >57 years | 6.135 | 2.421–15.545 | < | 1.307 | 0.209–8.175 | 0.774 | Radiological findings | >1 pure solid nodule | 35.217 | 4.420–280.601 | | 3.304 | 0.317–34.440 | 0.318 | Serum CEA level | >2.12 ng/mL | 4.822 | 1.909–12.181 | | 0.957 | 0.158–5.788 | 0.961 | Serum miR-183 level | >1.233 () | 2.900 | 1.183–7.112 | | 0.428 | 0.046–4.006 | 0.457 | Tumour size | >11 mm | 60.167 | 14.822–244.236 | < | 3.106 | 0.253–38.068 | 0.375 | Combined five factors | >0.499 | 159.900 | 29.287–873.024 | < | 60.033 | 2.462–1463.959 | |
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significant value OR, odds ratio; CI, confidence interval; mGGO, mixed ground-glass opacity; CEA, carcinoembryonic antigen.
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