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使用减重药后体重下降为何不明显?人工智能试图筛出“超级应答者”
Di Yi Cai Jing· 2025-11-20 11:23
Core Insights - The increasing number of GLP-1 weight loss drugs on the market has created confusion among doctors and patients regarding the best options for individual treatment [1][2] - Current GLP-1 weight loss drugs available in China include Eli Lilly's tirzepatide, Novo Nordisk's semaglutide, and Innovent Biologics' mazhitide, with no clear recommendation standards for their use [1] - A recent study analyzing over 135,000 patients found that 12.5% are "super responders," losing over 15% of their body weight within a year, while 35% are "moderate responders" (5%-15% weight loss), and 47% are "mild responders" (less than 5% weight loss) [1] Group 1 - The proportion of patients using Eli Lilly's tirzepatide who lost less than 5% of their body weight ranges from 23% to 28%, while for Novo Nordisk's semaglutide, this figure is between 30% and 43% [2] - Not all patients respond equally to weight loss medications, necessitating personalized recommendations based on individual health conditions and medical histories [2] - Researchers are exploring new methods to identify more "super responders" using large-scale data analysis and artificial intelligence tools to differentiate patient responses to GLP-1 weight loss drugs [2] Group 2 - The accumulation of clinical data from weight loss drug users is expected to lead to more precise personalized therapies in the future [3] - Researchers aim to develop an algorithm that provides scoring to indicate the potential benefits and risks of each weight loss drug under various conditions, with plans for prospective validation [3]