Objectives: This study aimed to comprehensively map collaborative networks, track evolutionary trends, identify core research hotspots, and predict emerging frontiers of diabesity intervention research.
Methods: A systematic literature search was performed in the Web of Science Core Collection for diabesity intervention studies published from January 1, 2016 to April 27, 2026, strictly following the PRISMA guidelines. Only English-language original articles and reviews were included. To minimize database update bias, the retrieval was completed within a single day. CiteSpace (version 6.2.R4) and VOSviewer (version 1.6.19) were applied to conduct bibliometric visualization and systematic analysis of countries/regions, institutions, authors, cited references, and keywords. Key statistical parameters included betweenness centrality for network bridging roles, silhouette values (threshold >0.6) for cluster reliability, and Kleinberg’s burst detection algorithm for citation bursts (γ=1.0)
Results: A total of 4,271 documents were finally included, with the annual publication volume showing a sustained and rapid upward trend over the decade. The United States was the most productive country with the highest academic influence, while Wadden Thomas A and Espeland Mark A were the core most prolific authors in this field. Keyword analysis revealed that core research hotspots focused on gut microbiota, lifestyle intervention, bariatric surgery, insulin resistance and metabolic syndrome. All keyword clusters achieved silhouette values >0.6, confirming high clustering reliability. Keyword burst analysis identified in-depth pathophysiological mechanism exploration and cardiometabolic health management as the latest emerging research frontiers
Conclusion: Diabesity intervention research has maintained vigorous development over the past decade. Future research should strengthen international academic collaboration, focus on the development of precise and individualized intervention strategies, and explore multidisciplinary long-term management models to improve the long-term clinical outcomes of patients with diabesity.