Evidence map›Paper›PMID 36672137›Full record

ArticleBrain sciences2023

Gait Indicators Contribute to Screening Cognitive Impairment: A Single- and Dual-Task Gait Study.

Xiaoqin Wang, Wuhan Yu, Lihong Huang, Mengyu Yan, Wenbo Zhang, Jiaqi Song, Xintong Liu, Weihua Yu, Yang Lü

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
8.8field-weighted citation impact, top 2% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Xiaoqin WangDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Wuhan YuDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Lihong HuangInstitutes of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
Mengyu YanInstitutes of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
Wenbo ZhangDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Jiaqi SongInstitutes of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
Xintong LiuDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Weihua YuInstitutes of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
Yang LüDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

Yang Lü 2018YFC2001700Yang Lü cstc2020yszx-jscxX0006Yang Lü CSTC2021jscx-gksb-N0020Yang Lü cstc2022ycjh-bgzxm0184Yang Lü KJQN201900109Yang Lü ZHYX2019008, ZHYX202110
6 · The paper itself

Abstract

Background: Screening cognitive impairment is complex and not an appliance for early screening. Gait performance is strongly associated with cognitive impairment. Objectives: We aimed to explore gait indicators that could potentially screen cognitive dysfunction. Methods: A total of 235 subjects were recruited from June 2021 to June 2022. Four gait tasks, including the walking test, the timed “Up & Go” test (TUG), foot pressure balance (FPB), and one-legged standing with eyes closed test (OLS-EC), were performed. Moreover, in the walking test, participants were instructed to walk at their usual pace for the single-gait test. For the dual-task tests, participants walked at their usual pace while counting backward from 100 by 1s. The data were analyzed by the independent sample t-test, univariate and multivariate logistic regression, a linear trend, stratified and interaction analysis, the receiver operating characteristic (ROC) curve, and Pearson’s correlations. Results: Among the 235 participants, 81 (34.5%) were men and 154 (65.5%) were women. The mean age of participants was 72 ± 7.836 years. The control, MCI, mild AD, and severe AD groups had means of 71, 63, 71, and 30, respectively. After adjusting for age, sex, education, and body mass index (BMI), the dual-task toe-off-ground angle (TOA) (odds ratio (OR) = 0.911, 95% confidence interval (CI): 0.847, 0.979), single-task TOA (OR = 0.904, 95% CI: 0.841−0.971), and the timed “Up & Go” time (TUGT) (OR = 1.515, 95% CI: 1.243−1.846) were significantly associated with an increased risk of cognitive impairment. In addition, the trend test and stratified analysis results had no significant differences (all p > 0.05). The area under the roc curve (AUC) values of TOA in the dual-task and TUGT were 0.812 and 0.847, respectively. Additionally, TOA < 36.75° in the dual-task, TOA < 38.90° in the single-task, and TUGT > 9.83 seconds (s) are likely to indicate cognitive impairment. The cognitive assessment scale scores were significantly correlated with TOA (all r > 0.3, p < 0.001) and TUGT (all r > 0.2), respectively. Conclusion: TOA and TUGT scores are, in some circumstances, associated with cognitive impairment; therefore, they can be used as simple initial screenings to identify patients at risk.

Indexed as

cognitive impairmentgait parameterstimed “Up &amp; Go” testtoe-off ground angle

Identifiers

PMID36672137
PMCPMC9856295
OpenAlexW4316673412

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.