Prognostic effect of a risk index model in postoperative non-small-cell lung cancer patients

Abstract

Aim: Predicting the prognostic outcome of a single case among postoperative non-small-cell lung cancer (NSCLC) patients is difficult. We created a precise prognostic model to assess the condition and prognosis of postoperative NSCLC patients. Methods: We combined eight prognostic indicators (age, prothrombin time, international normalized ratio, globulin, albumin-to-globulin ratio, tumor diameter, number of positive lymph nodes and number of dissected lymph nodes) to construct a new risk index (RI) model. Results: The best cut-off value was -1.86 (area under the curve: 0.719). The overall survival of postoperative NSCLC patients decreased as the RI increased (p < 0.001). Conclusion: This RI model can assist clinicians in screening high-risk groups and developing treatment and follow-up plans for postoperative NSCLC patients.