Comparing Meta-Analyses with ChatGPT in the Evaluation of the Effectiveness and Tolerance of Systemic Therapies in Moderate-to-Severe Plaque Psoriasis

Background: Meta-analyses (MAs) and network meta-analyses (NMAs) are high-quality studies for assessing drug efficacy, but they time-consuming may be affected by biases. The capacity of artificial intelligence to aggregate huge amounts information is emerging as particularly interesting processing the volume needed generate MAs. In this study, we analyzed whether chatbot ChatGPT able summarize in a useful fashion providers patients way that matches up with results MAs/NMAs. Methods: We included 16 (13 NMAs 3 MAs) evaluate biologics (n = 6) both biologic systemic treatment 10) moderate-to-severe psoriasis, published between January 2021 May 2023. Results: conclusions MAs/NMAs were compared ChatGPT’s answers queries about molecules evaluated selected reproducibility was random regarding safety. Regarding reached same conclusion 5 out (four four when three compared), gave acceptable 7 studies, inconclusive 4 studies. Conclusions: can similar MAs efficacy fewer drugs still unable more than compared.