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This study aimed to identify systemic multimorbidity clusters in people with periodontitis via a novel artificial intelligence–based network analysis and to explore the effect of associated factors. It revealed a range of common systemic multimorbidity clusters in people with periodontitis. For example, people with periodontitis are more likely to present with hypertension and obesity, and diabetes is more influential in multimorbidity clusters in people with severe periodontitis. Factors such as ethnicity, deprivation, and smoking status may also influence the pattern of multimorbidity clusters.
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