Income and Rurality Impact Overall Survival but not Cause-Specific Survival in Patients With Chondrosarcoma: A...

Area of Science:

• Oncology
• Epidemiology
• Biostatistics

Background:

• Socioeconomic status (SES) is a known factor influencing health outcomes.
• Previous studies on chondrosarcoma survival used Cox Proportional Hazards models, potentially overestimating risk.
• Cause-specific models like Fine-Gray offer a more nuanced approach to survival analysis.

Purpose of the Study:

• To evaluate the prognostic significance of income status in chondrosarcoma.
• To compare survival analysis results between Cox Proportional Hazards and Fine-Gray models.
• To understand the impact of socioeconomic disparities on chondrosarcoma patient outcomes.

Main Methods:

• Retrospective cohort study utilizing the SEER database.
• Inclusion of 3678 patients diagnosed with chondrosarcoma.
• Stratification by income levels (low, middle, high) and rurality (urban vs. rural).
• Survival analysis performed using Cox Proportional Hazards and Fine-Gray models.

Main Results:

• Cox analysis indicated low-income and rurality as significant prognostic factors.
• Fine-Gray modeling attenuated the significance of low-income and rurality.
• Low-income patients showed a hazard ratio of 1.43 (p=0.006) in Cox analysis, reduced to 1.36 (p=0.089) in Fine-Gray analysis.
• Rurality showed a hazard ratio of 0.71 (p=0.006) in Cox analysis, reduced to 0.76 (p=0.122) in Fine-Gray analysis.

Conclusions:

• Socioeconomic status significantly influences chondrosarcoma survival.
• The impact of SES on cause-specific mortality is reduced when competing risks are considered.
• The Fine-Gray model provides critical insights into SES-related survival disparities, highlighting the need for appropriate statistical methodologies.