Evidence map›Paper›PMID 42825889›Full record

ReviewGeroScience2026

Mapping the evolution of dual-task paradigms in cognitive aging: A bibliometric analysis of research landscapes and translational applications.

Shi Zhang, Ruoning Wu, Yuqi Xu, Hanbing Li, Cong Chen, Zhiqing Lin, Xiaofeng Wang, Shanyi Yang, Caiwei Yang, Jiajing Zhu and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Shi ZhangCollege of Integrated Traditional Chinese and Western Medicine Institute of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Ruoning WuCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Yuqi XuCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Hanbing LiCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Cong ChenCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Zhiqing LinCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Xiaofeng WangCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Shanyi YangCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Caiwei YangCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Jiajing ZhuCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Jingfang ZhuCollege of Rehabilitation Medicine Rehabilitation Industry Research Institute, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China. zhujingfang@fjtcm.edu.cn.ORCID http://orcid.org/0009-0009-4346-0457

Funding

Fujian University of Traditional Chinese Medicine No. X2023001Natural Science Foundation of Fujian Province No. 2024J08206
6 · The paper itself

Abstract

The increasing burden of dementia highlights the need for sensitive and ecologically relevant tools for early detection and intervention. Dual-task (DT) paradigms have emerged as promising approaches for assessing cognitive-motor alterations. This study aimed to map the 22-year evolution of DT research in cognitive aging using bibliometric analysis. We retrieved 1347 articles from the Web of Science Core Collection (January 2003-February 15, 2025) and analyzed them using CiteSpace. Co-citation, keyword burst, and collaboration network analysis were performed to identify research evolution, hotspots, knowledge structures, and international collaborations. Research showed a progressive shift from gait-focused behavioral assessment (2003-2012) to neuroimaging-based investigations (2013-2018), and subsequently toward artificial intelligence-driven, ecologically valid approaches integrating virtual reality and multimodal sensing (2019-2025). The dual-task cost emerged as a potential candidate digital biomarker associated with neural alterations and cognitive decline, while its complementary value to traditional cognitive assessment was highlighted. Dual-task training demonstrated potential benefits for improving functional outcomes and reducing fall risk; however, heterogeneity in treatment effects indicates the need for personalized intervention strategies. DT paradigms are evolving toward potential applications in precision gerontology. The proposed assessment-intervention continuum provides a conceptual framework for future research. Standardized protocols and prospective validation of DT-derived digital phenotypes are required before clinical implementation.

Indexed as

Cognitive agingCognitive-motor interferenceDigital biomarkersDual-taskDual-task cost

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.