数据日期 2026-10-29 · 生成时间 2026-10-29 06:03
研究问题
Consequently, considerable efforts have focused on the early identification of AD, with the aim of detecting signs and symptoms that may serve as predictive markers of disease progression (De Roeck et al., 2016).
方法
All data used in this study were extracted from the 13EVAL cluster randomized controlled trial ( ClinicalTrials.gov identifier: NCT05625828 ).；Pre-test and post-test assessment sessions included evaluations of functional capacities (e.g., spontaneous walking speed), cognitive functions, and cognitive-motor abilities.；The sample included 161 community-dwelling older adults (mean age of 76.05 ± 6.36 years, range: 65–92).；Participants had a mean Body Mass Index (BMI) of 24.82 ± 3.66 kg.m-2 (range: 16.16–34.96).
核心结论
More than half of the participants (53.42%, n = 86) had completed at least 12 years of education.；Notably, more than half of the participants (54.04%, n = 87) obtained a score below the recommended cutoff of 26/30 on the MoCA, suggesting probable MCI.；[Characteristics and differences among id] Regarding age, a significant cluster effect was found (F2,158 = 78.56, p < 0.001, η2p = 0.50, large effect): post-hoc comparisons showed a significant difference between clusters 1 and 2 (t158 = −10.84, p < 0.001, d = −1.88, large effect) and between clusters 1 and 3 (t158 = −9.24, p < 0.001, d = −2.18, large effect). ‖ 结论：The present findings suggest that a multivariate approach combining simple, rapid, and widely accessible neuropsychological assessments aligns with the growing need for sensitive and scalable screening tools but also underscores the potential of multivariate methods to capture the heterogeneity of cognitive aging in real-world settings.
局限
[Limitations and perspectives] Several limitations should be considered when interpreting these findings.；The absence of specific, standardized assessments for instrumental activities of daily living, the language and motor domains introduce a theoretical selection bias, limiting our ability to identify cognitive profiles exclusively involving these domains.；Nevertheless, because subtle alterations cannot be excluded in the absence of dedicated assessments, future studies incorporating a broader neuropsychological battery covering additional domains would be valuable to determine whether other cognitive vulnerability profiles could be identified in community-dwelling older adults.
对本项目的价值
★★★★☆ 脑老化是最大未满足需求，也是终点最难量化的领域；biomarker 与认知读数选择最敏感。最大样本量约 138；设计 RCT。
全文来源
PMC JATS 全文（正文 42,556 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：A clustering approach based on neuropsychological testing to detect early signs of probable MCI among community-dwelling older adults.
- 期刊与标识：Front Aging Neurosci · PMID 42935597 · DOI 10.3389/fnagi.2026.1926431**
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
关于本文的文献来源：本站依据 IMA 知识库「五刊监控·深度文献卡片」撰写，依据已获取的期刊全文（方法、样本量与结论已回到原文核对）；未能获取全文的同批条目另行标注「摘要级」，全程未做任何数值推算补全。