When Numbers Mislead: Reassessing Statistical Foundations in PCA-Based Prognostication of Fontan Outcomes

Key Points

• To evaluate the reliability of PCA-based prognostication methods for Fontan outcomes.
• Conducted a comprehensive review of PCA methodologies.
• Analyzed discrepancies in statistical data interpretation.
• Explored implications of using flawed statistical foundations in prognosis.
• Identified challenges in using PCA for accurate prognostication.
• Demonstrated that misinterpretation of PCA can lead to misleading outcomes.
• Highlighted the need for robust statistical practices in clinical predictions.