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  4. Evaluating and Predicting the Probability of Death in Patients with Non-Metastatic Osteosarcoma: A Population-Based Study

Evaluating and Predicting the Probability of Death in Patients with Non-Metastatic Osteosarcoma: A Population-Based Study

Med Sci Monit, 2019 · DOI: 10.12659/MSM.915418 · Published: June 24, 2019

OncologyOrthopedicsResearch Methodology & Design

Simple Explanation

Osteosarcoma is a common bone tumor that can be difficult to treat, especially when it spreads. This study aimed to identify factors that affect survival in patients with osteosarcoma that hasn't spread. The researchers used a large database to analyze information from patients diagnosed with non-metastatic osteosarcoma between 2005 and 2014. They looked at factors like age, tumor size, and grade to see how they affected survival rates. The study created nomograms, which are tools that can help predict a patient's probability of survival based on these factors. These nomograms were found to be more accurate than older staging systems in predicting survival.

Study Duration
9 Years
Participants
1000 patients with non-metastatic osteosarcoma
Evidence Level
Not specified

Key Findings

  • 1
    Age, tumor size, grade, and AJCC T staging were independent prognostic factors for OS and CSS.
  • 2
    Nomograms based on multivariable models worked well in predicting the probability of death for patients with non-metastatic osteosarcoma.
  • 3
    Relatively young age and low histopathological grade were favorable factors for both OS and CSS.

Research Summary

This study evaluated prognostic factors for overall survival (OS) and cause-specific survival (CSS) in patients with non-metastatic osteosarcoma using the SEER database. Multivariable analysis identified age, tumor size, grade, and AJCC T staging as independent prognostic factors for OS and CSS. Nomograms based on these factors predicted OS and CSS more accurately than the sixth and seventh editions of the AJCC staging systems.

Practical Implications

Improved Prognosis Prediction

The developed nomograms can be used to provide more accurate predictions of survival for patients with non-metastatic osteosarcoma.

Personalized Treatment Strategies

Identifying key prognostic factors allows for the development of personalized treatment strategies based on a patient's individual risk profile.

Clinical Decision Making

The findings can aid clinicians in making informed decisions regarding treatment options and follow-up strategies for patients with osteosarcoma.

Study Limitations

  • 1
    Inaccurate variables in SEER database
  • 2
    Retrospective study design
  • 3
    Inter-group heterogeneity was not processed

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