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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

140 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-11-01

Study Completion Date

2022-11-01

Brief Summary

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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.

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Detailed Description

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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

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Spinal Metastases Non-Small-Cell Lung Cancer Metastatic

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Low risk

For NSCLC spinal metastasis patients with 0-3 of novel survival prediction algorithm.

No interventions assigned to this group

Intermediate risk

For NSCLC spinal metastasis patients with 4-6 of novel survival prediction algorithm.

No interventions assigned to this group

High risk

For NSCLC spinal metastasis patients with 7-10 of novel survival prediction algorithm.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Diagnosis by biopsy: Non-small-cell lung cancer, including non-squamous carcinoma and squamous cell carcinoma.
* Diagnosis through both nucleotide bone scan and MRI or PET-CT: spinal metastasis.
* Age 18-75 years.
* Have been or is about to be treated according to NCCN panel recommendation.