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.

Journal Article by White MJ, Prathibha S (…) Marmor S et 7 al. in J Am Coll Surg

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