Evidence map›Paper›PMID 30219036›Full record

SynthesisBMC geriatrics2018

Technology-based cognitive training and rehabilitation interventions for individuals with mild cognitive impairment: a systematic review.

Shaoqing Ge, Zheng Zhu, Bei Wu, Eleanor S McConnell

Registry-linked trialOpen access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05532904 (Evaluation and Comparison of Multidisciplinary Day-hospital Versus Waiting List Management of Persistent Symptoms After an Acute Episode of COVID-19), which is not on this map. Cited by 91 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 11 pooled it
10.6field-weighted citation impact, top 1% 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.

NCT05532904 nacompletednot on this mapstarted 2023, after this paper: background citation

Evaluation and Comparison of Multidisciplinary Day-hospital Versus Waiting List Management of Persistent Symptoms After an Acute Episode of COVID-19

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2023 to 2025Enrolled80ConditionsPost COVID-19 ConditionArmsPersonalized multidisciplinary day-hospital intervention
3 · Its place in the literature

Who cites it

91 citing papers in PubMed, 11 syntheses or guidelines pooled it, 212 citations in OpenAlex.

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31 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 2 countries.

Shaoqing GeDuke University School of Nursing, 307 Trent Drive, Durham, NC, USA. shaoqing.ge@duke.edu.ORCID 0000-0003-2436-5760
Zheng ZhuFudan University School of Nursing, Shanghai, China.
Bei WuNew York University Rory Meyers College of Nursing, New York, NY, USA.
Eleanor S McConnellDuke University School of Nursing, 307 Trent Drive, Durham, NC, USA.
Duke University · USFudan University · CNJohn A. Hartford Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with mild cognitive impairment (MCI) are at heightened risk of developing dementia. Rapid advances in computing technology have enabled researchers to conduct cognitive training and rehabilitation interventions with the assistance of technology. This systematic review aims to evaluate the effects of technology-based cognitive training or rehabilitation interventions to improve cognitive function among individuals with MCI.

methodsWe conducted a systematic review using the following criteria: individuals with MCI, empirical studies, and evaluated a technology-based cognitive training or rehabilitation intervention. Twenty-six articles met the criteria.

resultsStudies were characterized by considerable variation in study design, intervention content, and technologies applied. The major types of technologies applied included computerized software, tablets, gaming consoles, and virtual reality. Use of technology to adjust the difficulties of tasks based on participants' performance was an important feature. Technology-based cognitive training and rehabilitation interventions had significant effect on global cognitive function in 8 out of 22 studies; 8 out of 18 studies found positive effects on attention, 9 out of 16 studies on executive function, and 16 out of 19 studies on memory. Some cognitive interventions improved non-cognitive symptoms such as anxiety, depression, and ADLs.

conclusionTechnology-based cognitive training and rehabilitation interventions show promise, but the findings were inconsistent due to the variations in study design. Future studies should consider using more consistent methodologies. Appropriate control groups should be designed to understand the additional benefits of cognitive training and rehabilitation delivered with the assistance of technology.

Indexed as

SoftwareAttentionCognitionCognitive DysfunctionExecutive FunctionHumansMemoryTechnologyCognitionCognitive rehabilitationCognitive trainingSystematic reviewTechnology

Identifiers

PMID30219036
PMCPMC6139138
OpenAlexW2891817061

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.