The study shows only 67% positive predictive value for MOG-IgG tests, indicating substantial false positives even with established assays. Understanding the molecular basis of these false positives is critical for improving diagnostic accuracy and preventing misdiagnosis of neuroinflammatory conditions. Gap type: unexplained_observation Source paper: TRUE-MOGAD Score: A Novel Scoring System to Identify MOGAD Among Positive MOG-IgG Test Results. (2026, Neurol Neuroimmunol Neuroinflamm, PMID:41921125)
Landscape Summary: What biological mechanisms cause 33% false positive rate in MOG-IgG testing despite standardized assays? is a 0.8 priority gap in neuroinflammation. It has 0 linked hypotheses with average composite score 0.000. Status: open.
Colonna, Sevlever, et al. (TREM2 biology)
What biological mechanisms cause 33% false positive rate in MOG-IgG testing despite standardized assays? — INVOKE-2 (completed)
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