Evaluation of prognostic scoring systems for bone metastases using single-center data

Area of Science:

• Oncology
• Orthopedic Surgery
• Medical Statistics

Background:

• Cancer treatment advances increase survival, leading to more patients with metastatic bone tumors.
• Accurate prognostic assessment is vital for guiding treatment decisions in bone metastasis patients.
• Existing scoring systems require evaluation for suitability in specific patient populations.

Purpose of the Study:

• To evaluate and compare four established prognostic scoring systems (Ratasvuori, Mizumoto, Tokuhashi, Katagiri) for patients with bone metastases.
• To identify the most suitable scoring system for predicting prognosis in surgically treated bone metastasis patients at Kagoshima University.
• To determine the optimal scoring system for patient selection for curative surgical intervention.

Main Methods:

• Retrospective analysis of clinical data from 145 bone metastasis patients treated surgically at Kagoshima University.
• Assignment of prognostic scores using four distinct scoring systems: Ratasvuori, Mizumoto, Tokuhashi, and Katagiri.
• Statistical comparison of patient distributions and prognostic factor relevance between Kagoshima data and published literature (SSG, Katagiri, Tokuhashi, Mizumoto).

Main Results:

• Significant differences were observed in prognostic factor distributions between Kagoshima data and the Scandinavian Sarcoma Group (SSG), Katagiri, and Tokuhashi datasets.
• The Tokuhashi scoring system showed the highest accuracy in predicting 6-month survival (88.8%) within the Kagoshima cohort.
• The SSG scoring system was most effective in identifying patients with an expected survival of less than 6 months (91.3%).

Conclusions:

• The Tokuhashi scoring system is recommended for identifying bone metastasis patients who may benefit from curative surgical intervention.
• The SSG scoring system is valuable for identifying patients with a poor prognosis (survival <6 months).
• The choice of prognostic scoring system should be tailored to the specific characteristics and patient population of each hospital.