Evidence map›Paper›PMID 39465050›Full record

ArticleFrontiers in psychiatry2024

Ten-words recall test: an effective tool to differentiate mild cognitive impairment from subjective cognitive decline.

Hua Ren, Qiansen Feng, Lei Chen, Linlin Li, Jiayu Wang, Jiajing Wu, Li Dong, Tiejun Liu, Ziqi Wang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. 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
–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

5 citing papers in PubMed.

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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.

Hua RenThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Qiansen FengThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Lei ChenThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Linlin LiThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Jiayu WangThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Jiajing WuThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Li DongThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Tiejun LiuThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.
Ziqi WangThe Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education (MoE) Key Laboratory for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, The Fourth People's Hospital of Chengdu, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are stages 2 and 3, respectively, of the Alzheimer's continuum. The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-cog's) ten-words recall test is a validated method for the early detection of cognitive impairment in Alzheimer's disease. However, limited studies have investigated its ability to differentiate between SCD and MCI. Methods: 203 participants with SCD and 62 participants with MCI underwent multiple neuropsychological assessments. The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment-Basic (MOCA-B) served as brief global cognition tests. A binary logistic regression model was used to analyze the potential factors affecting MCI. The accuracy of the ten-words recall test was assessed using the area under the receiver operating characteristic (ROC) and the area under the curve (AUC). Results: The neuropsychological assessment revealed significant differences in the ten-words recall test scores between the SCD (median age 61 years; 70.44% female) and MCI (median age 64 years; 61.29% female) groups ( Discussion: The ten-words recall test from the ADAS-cog may detect MCI early owing to its simplicity and quick administration. It is an effective and convenient tool for rapidly identifying mild cognitive impairment.

Indexed as

memorymild cognitive impairmentneuropsychological assessmentsubjective cognitive declineword recall

Identifiers

PMID39465050
PMCPMC11502336

What Socratic holds

Textmetadata
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 Socratic graph.