Evidence map›Paper›PMID 39083796›Full record

ReviewJMIR serious games2024

Effects of Electronic Serious Games on Older Adults With Alzheimer's Disease and Mild Cognitive Impairment: Systematic Review With Meta-Analysis of Randomized Controlled Trials.

Xinyi Zuo, Yong Tang, Yifang Chen, Zhimiao Zhou

Erratum issuedAbstract readReview
In one paragraph

Review in JMIR serious games, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Exergaming and Cognitive Function Research: A Bibliometric Visualization Analysis Using CiteSpace.Inquiry : a journal of medical care organization, provision and financing
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Xinyi Zuo *Sociology Department, School of Government, Shenzhen University, Shenzhen, Guangdong, China.ORCID https://orcid.org/0009-0001-4316-9389
Yong TangSociology Department, School of Government, Shenzhen University, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0002-2094-8582
Yifang Chen *Institution of Policy Studies, Lingnan University, Tuen Mun, Hong Kong SAR, China (Hong Kong).ORCID https://orcid.org/0009-0009-0650-8749
Zhimiao ZhouShenzhen Senior High School, Shenzhen, China.ORCID https://orcid.org/0009-0001-1247-2422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerious games (SGs) are nonpharmacological interventions that are widely applied among older adults. To date, no evidence has been published regarding the effect of digital SGs on cognitive ability, daily behavioral capacity, or depression in older adults with Alzheimer's disease (AD) and mild cognitive impairment (MCI).

objectiveThis study aimed to assess the effect of SGs on older adults with AD and MCI by summarizing and pooling the results of previous studies.

methodsThis meta-analysis examined the effectiveness of digital SGs in improving cognitive ability, enhancing daily behavioral capacity, and alleviating depression in older adults with AD and MCI. We searched the following databases up to December 31, 2023, to identify relevant high-quality randomized controlled trials (RCTs): PubMed, Embase, Web of Science, Scopus, and Cochrane Library. Stata 15.1 and Review Manager 5.3 were used to screen the 14 studies, extract data, code the data, and perform meta-analysis. Mean differences and standardized mean differences (SMDs) with 95% CIs were used to calculate continuous variables. The Cochrane risk-of-bias assessment tool was used to evaluate the risk of bias. Eligibility criteria were developed in accordance with the Population, Intervention, Comparison, Outcomes, and Study Design framework: (1) population (older adults with AD and MCI), (2) intervention (digital SG intervention), (3) comparison (digital SG intervention vs routine health care), (4) outcomes (cognitive ability, daily behavioral capacity, and depression), and (5) study or research design (RCT). Sensitivity analysis was performed, and a funnel plot was constructed.

resultsFrom January 2017 to December 2023, we enrolled 714 individuals across 14 RCTs, with 374 (52.4%) in the severe game group using digital SGs and 340 (47.6%) in the control group using traditional methods. The results of our meta-analysis indicated that using digital SGs in older adults with AD and MCI is more effective than traditional training methods in several key areas. Specifically, digital SG therapy significantly increased cognitive ability, as found in the Mini-Mental State Examination (SMD 2.11, 95% CI 1.42-2.80; P<.001) and the Montreal Cognitive Assessment (SMD 2.75, 95% CI 1.98-3.51; P<.001), significantly increased daily behavioral capacity (SMD 0.53, 95% CI 0.06-0.99; P=.03), and significantly reduced depression (SMD -2.08, 95% CI -2.94 to -1.22; P<.001) in older adults with AD and MCI. No publication bias was detected based on the results of Begg and Egger tests.

conclusionsDigital SGs offer a viable and effective nonpharmacological approach for older adults with AD and MCI, yielding better results compared to traditional formats. However, caution is warranted in interpreting these findings due to limited RCTs, small sample sizes, and low-quality meta-analyzed evidence.

trial registrationPROSPERO International Prospective Register of Systematic Reviews: CRDCRD42023486090; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=486090.

Indexed as

ADAlzheimer’s diseasecognitive abilitydaily behavioral capacitydepressiondigital serious gamesMDmental healthmeta-analysismild cognitive impairmentolder adults with AD and MCIsystematic review

Identifiers

PMID39083796
PMCPMC11324188

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.