ReviewFrontiers in aging2026
Research hotspots and trends in intrinsic capacity of older people in the context of population aging based on CiteSpace.
Review in Frontiers in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To employ bibliometrics to identify the research hotspots and development trends of the intrinsic capacity of older people, thereby providing novel insights for future studies on the management of intrinsic capacity in older adults and further facilitating the advancement of healthy aging. Methods: The literature on the intrinsic capacity of older people, published by China National Knowledge Infrastructure, Wanfang, VIP, and SinoMed, as well as the Web of Science Core Collection, was searched from January 2015 to December 2024. The Note Express 4.1.0 software was used for literature management, and the CiteSpace 6.4. R1 software was used to visually analyze the characteristics of the number of publications, countries, institutions, authors, and keywords, and to plot the relevant graphs. Results: A total of 97 Chinese literature and 745 English literature were included. The number of publications on the older adults' intrinsic capacity has shown an increasing trend both domestically and internationally. In the past 5 years, intrinsic capacity has received extensive attention, with 96.9% of Chinese papers and 79.6% of English papers published from 2020 to 2024. European researchers collaborate closely, whereas Chinese research shows weaker collaboration and strong regionalism. Keyword analysis identified 6 clusters in Chinese literature and 17 in English. Chinese hotspots mainly include influencing factors, evaluation tools, chronic disease, grip strength, frailty, and falls. Future directions focus on quality of life, social support, and the recovery period. English studies center on association, management, muscle strength, frailty, exercise, and social support, with potential future directions in supplementation and inflammation. Conclusion: Currently, Chinese research primarily focuses on analyzing influencing factors, with relatively few studies examining intervention measures, while English research has progressed to exploring of intervention strategies. As population aging accelerates, cross-institutional and interdisciplinary cooperation is becoming a key trend. Future research should deepen understanding, particularly for high-risk groups, and explore the effects of supplements, the predictive role of inflammatory markers, and the effectiveness of interventions for this population. These endeavors will contribute to providing precise and personalized management programs for older adults, enhance social support and quality of life, and promote the comprehensive implementation of healthy aging strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.