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ID 48560
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Author
Kataoka, Masaki
Kunisada, Toshiyuki Kaken ID researchmap
Takeda, Ken
Itani, Satoru
Sugimoto, Yoshihisa Kaken ID
Misawa, Haruo
Nakahara, Shinnosuke
Abstract
There are a variety of treatment options for patients with spinal metastasis, and predicting prognosis is essential for selecting the proper treatment. The purpose of the present study was to identify the significant prognostic factors for the survival of patients with spinal metastasis. We retrospectively reviewed 143 patients with spinal metastasis. The median age was 61 years. Eleven factors reported previously were analyzed using the Cox proportional hazards model:gender, age, performance status, neurological deficits, pain, type of primary tumor, metastasis to major organs, previous chemotherapy, disease-free interval before spinal metastasis, multiple spinal metastases, and extra-spinal bone metastasis. The average survival of study patients after the first visit to our clinic was 22 months. Multivariate survival analysis demonstrated that type of primary tumor (hazard ratio [HR]=6.80, p<0.001), metastasis to major organs (HR=2.01, p=0.005), disease-free interval before spinal metastasis (HR=1.77, p=0.028), and extra-spinal bone metastasis (HR=1.75, p=0.017) were significant prognostic factors. Type of primary tumor was the most powerful prognostic factor. Other prognostic factors may differ among the types of primary tumor and may also be closely associated with primary disease activity. Further analysis of factors predicting prognosis should be conducted with respect to each type of primary tumor to help accurately predict prognosis.
Keywords
spine
metastasis
survival
prognostic factor
cancer
Amo Type
Original Article
Publication Title
Acta Medica Okayama
Published Date
2012-06
Volume
volume66
Issue
issue3
Publisher
Okayama University Medical School
Start Page
213
End Page
219
ISSN
0386-300X
NCID
AA00508441
Content Type
Journal Article
language
English
Copyright Holders
CopyrightⒸ 2012 by Okayama University Medical School
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publisher
Refereed
True
PubMed ID
Web of Science KeyUT