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DOI 10.1186/s12967-026-08099-w

Медицинская библиотека · Journal of translational medicine · 2026

Cognitive frailty research (2001-2024): a scientometric analysis of its evolution, intellectual structure, and future frontiers.

Zhang Ruirui, Wang Shenglin, Liu Yaqing, Xu Yuanhang, Chen Sirui, Liu Xuejuan, Li Junqiang, Ren Lingxin, Tian Xin, Wang Tiancheng

СтатьяОбзорПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Cognitive frailty (CF), the co-existence of physical frailty and non-dementia cognitive impairment, has emerged as a critical geriatric syndrome and prevention target since the 2013 international consensus. However, a systematic quantification of its complete evolutionary trajectory and knowledge structure remains lacking.

METHODS

We conducted a comprehensive scientometric analysis of 422 publications (2001-2024) retrieved from the Web of Science Core Collection. We employed document co-citation analysis, keyword co-occurrence, and burst detection to map the field's trajectory, thematic structure, and research frontiers.

RESULTS

The field evolved through three distinct stages: a pre-2013 germination phase, a 2013-2021 formation phase, and a post-2021 deepening phase. Co-citation analysis identified 13 major thematic clusters, with the 2013 consensus paper being the most cited work (LCS = 301, GCS = 755). Keyword burst analysis revealed 37 high-intensity burst terms, with recent bursts (post-2021) concentrated in psychosocial domains, such as social frailty, depression, and sleep quality, indicating a paradigm shift from a biomedical to a biopsychosocial model.

CONCLUSIONS

This study provides the first full life-cycle knowledge map of CF research, demonstrating its transition from descriptive epidemiology to preventive intervention. This scientometric roadmap serves as a practical tool for researchers to identify knowledge gaps and collaboration opportunities, and for clinicians to understand the evidence base for multidomain assessment and intervention. It provides a data-driven foundation for accelerating translational research and implementing effective preventive or reversal strategies.

Для цитирования: Zhang Ruirui, Wang Shenglin, Liu Yaqing, Xu Yuanhang, Chen Sirui, Liu Xuejuan, Li Junqiang, Ren Lingxin, Tian Xin, Wang Tiancheng. Cognitive frailty research (2001-2024): a scientometric analysis of its evolution, intellectual structure, and future frontiers.. Journal of translational medicine. 2026. DOI: 10.1186/s12967-026-08099-w.

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