Background
The clinical outcomes of patients with resected T
1-3
N
0–2
M
0
non-small cell lung cancer (NSCLC) with the same tumor-node-metastasis (TNM) stage are diverse. Although other prognostic factors and prognostic prediction tools have been reported in many published studies, a convenient, accurate and specific prognostic prediction software for clinicians has not been developed. The purpose of our research was to develop this type of software that can analyze subdivided T and N staging and additional factors to predict prognostic risk and the corresponding mean and median survival time and 1–5-year survival rates of patients with resected T
1-3
N
0–2
M
0
NSCLC.
Results
Using a Cox proportional hazard regression model, we determined the independent prognostic factors and obtained a prognostic index (PI) eq. PI = ∑
βixi
.
=0.379X
1
–0.403X
2
–0.267X
51
–0.167X
61
–0.298X
62
+ 0.460X
71
+ 0.617X
72
–0.344X
81
–0.105X
91
–0.243X
92
+ 0.305X
101
+ 0.508X
102
+ 0.754X
103
+ 0.143X
111
+ 0.170X
112
+ 0.434X
113
–0.327X
122
–0.247X
123
+ 0.517X
133
+ 0.340X
134
+ 0.457X
143
+ 0.419X
144
+ 0.407X
145
. Using the PI equation, we determined the PI value of every patient. According to the quantile of the PI value, patients were divided into three risk groups: low-, intermediate-, and high-risk groups with significantly different survival rates. Meanwhile, we obtained the mean and median survival times and 1–5-year survival rates of the three groups. We developed the RNSCLC-PRSP software which is freely available on the web at
http://www.rnsclcpps.com
with all major browsers supported to determine the prognostic risk and associated survival of patients with resected T
1-3
N
0–2
M
0
non-small cell lung cancer.
Conclusions
After prognostic factor analysis, prognostic risk grouping and corresponding survival assessment, we developed a novel software program. It is practical and convenient for clinicians to evaluate the prognostic risk and corresponding survival of patients with resected T
1-3
N
...
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