VascFlux-GEO: Comparator selection and auditability in vascular transcriptome module prediction

In GSE86216, nested follow-up ridge achieved lower observed repeated-CV mean absolute error than mean follow-up (0.3280 vs 0.3405; difference 0.0126).

• Why it matters: Comparator selection and mathematical coupling can create apparent within-cohort gains that may not survive proper controls, and evaluation faults need auditable detection.
• What they did: The study compared 15 explicit specifications using eight frozen modules, 72 rosuvastatin pairs, 14 peripheral artery disease pairs, 20 repeated subject-held-out five-fold partitions, and 5,000 subject bootstrap draws, plus 800 known-truth training/test simulations and ablation/integrity checks.
• The result: In peripheral artery disease, nested ridge (0.3449) had slightly higher observed MAE than the median follow-up comparator (0.3409), and no full-matrix advantage was established; independent longitudinal validation remains unestablished.