SSC Journal Club: Cipriani On Antidepressants

A sharp journal-club dissection of Cipriani et al's landmark network meta-analysis of 21 antidepressants ('the drugs do work'). The crucial reveal (in an EDIT): converting Cipriani's odds ratios to effect sizes makes his picture of antidepressants slightly WORSE than Kirsch's 'they barely work' study — so identical data produced opposite headlines purely via presentation. Raises pointed concerns: 78% pharma-sponsored trials yet 'zero' measured sponsorship effect; the new-and-exciting-drugs-do-better bias; and a careful argument that Cipriani's bias-coding (flag the sponsor's drug as inflated but not the comparator as deflated) understates old comparators like clomipramine. Compares to Scott's own published antidepressant-rankings (Alexander et al 2017), which correlate near-zero with Cipriani's. Clinically and statistically incisive.

Quality 73 · Strong. Strong (73): rigorous, insightful, and consequential (the OR-vs-effect-size point is genuinely important), but a journal-club analysis of a single paper, somewhat inside-baseball, so upper-Strong rather than Excellent.

Claude’s paradigm shift 52 · Moderate. Moderate (52): fresh critical synthesis (the asymmetric bias-coding argument, the presentation-drives-conclusions reveal); interprets an existing landmark study.

Real-world impact 3 · Moderate. Moderate (3): influential within the psychiatry-reader community on how to read the antidepressant literature; Scott's own rankings reached publication.