Statistical analysis of prognostic factors for survival in patients with spinal metastasis

Masaki Kataoka, Toshiyuki Kunisada, Masato Tanaka, Ken Takeda, Satoru Itani, Yoshihisa Sugimoto, Haruo Misawa, Masuo Senda, Shinnosuke Nakahara, Toshifumi Ozaki

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)213-219
Number of pages7
JournalActa medica Okayama
Issue number3
Publication statusPublished - 2012


  • Cancer
  • Metastasis
  • Prognostic factor
  • Spine
  • Survival

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


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