Evidence map›Paper›PMID 40860509›Full record

ArticleDementia & neuropsychologia2025

Effects of computerized cognitive training for cognitive and visually impaired: one-group pre- and post-test design.

Michael Chih Chien Kuo, Armstrong Tat San Chiu

Abstract read
In one paragraph

Article in Dementia & neuropsychologia, 2025. 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

2 authors.

Michael Chih Chien KuoTung Wah College, School of Medical and Health Sciences, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-0802-1207
Armstrong Tat San ChiuThe Hong Kong Society for the Blind, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-3805-2880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have shown that visual impairment is associated with an increased risk of cognitive decline. Individuals with co-existing cognitive and visual impairments are also at a higher risk of having disability, which can further impact on one's independence in everyday activities. Computerized Cognitive Training (CCT) is one of the non-pharmacological interventions in managing cognitive decline. Objective: This study investigated the effects of an auditory CTT program in a group of participants with both cognitive and visual impairment. Methods: Sixteen participants were recruited. Participants had cognitive complaints and visual impairment. They received eight sessions of auditory-based CCT once or twice a week for 45 minutes within a 6-week period for each participant. Pre- and post-assessments were conducted before and after the training. Neuropsychological assessments included the Cantonese version of the Mini-Mental State Examination (CMMSE), the digit span forward test, the Chinese version of the Verbal Learning Test (CVVLT), and memory subtest of Neurobehavioral Cognitive Status Examination (NCSE). Pre- and post- mean assessment scores were compared. Results: Mean CMMSE score for this group of participants was 18.1. Significant differences were found in four assessments (digit span forward, CVVLT-Total: CVVLT-first trial, and NCSE-memory). No significant differences were found in the other tests. Additional repeated measures analysis showed age might play a role in CVVLT first trial and CVVLT total scores. Conclusion: The study is limited by its one-group design. The results provide preliminary evidence that auditory-based CCT may be beneficial to attention and memory in people with both cognitive and visual impairment.

Indexed as

AttentionCognitive DysfunctionCognitive TrainingMemoryVision Disorders

Identifiers

PMID40860509
PMCPMC12377825

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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.