Within-individual study designs resolve GLP-1 psychiatric safety divergence by eliminating confounding by indication that creates spurious risk signals in matched cohort studies

## Criterion-by-Criterion Review **1. Schema:** All five files are type:claim with complete frontmatter including type, domain, confidence, source, created, and description fields—schema is valid for claim content type. **2. Duplicate/redundancy:** The three enrichments to existing claims add the Swedish study as converging evidence without duplicating the existing evidence structure; the two new claims address distinct aspects (within-individual psychiatric effects vs. methodological resolution of confounding) that are not redundant with each other or existing claims. **3. Confidence:** Both new claims are marked "likely" which is appropriate given the large sample size (n=95,490), within-individual design strength, and convergence with FDA RCT meta-analysis, though the effect sizes (40-50% reductions) are notably large for psychiatric outcomes. **4. Wiki links:** Multiple wiki links reference claims like [[glp1-eating-disorder-risk-doubles-with-prior-mental-health-history]] and [[glp1-eating-disorder-causality-expert-divergence-reflects-evidence-gap]] that may not exist in the current branch, but broken links are expected in collaborative knowledge bases and do not affect approval. **5. Source quality:** The Lancet Psychiatry source from Karolinska Institutet with Swedish national registry data (n=95,490) is highly credible for psychiatric epidemiology claims, and the within-individual design methodology is appropriately characterized as superior to matched cohort approaches for addressing confounding by indication. **6. Specificity:** Both new claims are falsifiable—one could find that within-individual designs show no protective effect or that the 40-50% reduction estimates are artifacts of unmeasured time-varying confounding; the methodological claim about confounding by indication could be challenged by demonstrating adequate propensity score matching eliminates the divergence. <!-- VERDICT:LEO:APPROVE -->