Missing Data Biases Outcomes in Cancer Treatment Studies

Non-cancer center patients have worse survival outcomes and more missing data.

• Missing data prevalence was significantly higher at non-cancer centers (e.g., NSCLC: 42% vs 13% at cancer centers).
• Three-year overall survival was lower for patients with missing data across all cancers (e.g., breast: 63% vs 81%).

Consider the implications of missing data in decision-making and strive for complete data collection to improve patient outcome accuracy.

• Excluding patients with missing data skews results toward better outcomes, emphasizing the need for comprehensive data inclusion.