NCT03363685

Verification of Novel Survival Prediction Algorithm for Patients With NSCLC Spinal Metastasis

An Observational Study of Novel Survival Prediction Algorithm as Clinical Decision Support for Patients With Non-Small-Cell Lung Cancer (NSCLC) Spinal Metastasis

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 140 (estimated)
• Sponsor: Ruijin Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

The purpose of this study is to learn whether our own made predictive algorithm can be used as a clinical practical decision support for patients with NSCLC spinal metastasis. The scoring system consists of the use of EGFR-TKI, KPS, Age, SCC, CA125 and smoking history. By predicting survival doctors could determine which patients are suitable for palliative therapy.

Detailed description

Investigators have performed a retrospective study on 176 patients with NSCLC spinal metastasis under the oversight of hospital's ethics committee, and investigators found that the use of EGFR-TKI, KPS, Age, SCC, CA125 and smoking history had significant association with survival. Then investigators built a simple, easy to use scoring system based on the features mentioned above. The score was calculated as 1 (for patients didn't receive EGFR-TKI), +2 (for KPS \<50%), +1 (for KPS 50-70%), +1 (Age \>60years), 2 (SCC ≥1.5ng/ml), +3 (CA125 ≥35 U/ml), +1 (smoking history 1-10/day), +2 (smoking history \>10/day), and 0 otherwise. This algorithm was used to divide the patients into low risk (0-3), intermediate risk (4-6), high risk groups (7-10) to predict survival and determine which patients are suitable for palliative therapy. Now investigators wish to register this study to do a further research, in order to verify the accuracy and sensitivity of this algorithm.

Conditions

• Spinal Metastases
• Non-Small-Cell Lung Cancer Metastatic

Timeline

• Start date: 2017-11-01
• Primary completion: 2022-11-01
• Completion: 2022-11-01
• First posted: 2017-12-06
• Last updated: 2020-10-08

Locations

1 site across 1 country: China