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Enhancing Cognitive Functioning in Healthly Older Adults: a Systematic Review of the Clinical Significance of Commercially Available Computerized Cognitive Training in Preventing Cognitive Decline
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“The authors found that the study showed high methodological quality but the authors did not perform a meta-analysis17.”
From The use of commercial computerised cognitive games in older adults: a meta-analysis (2020) · cites this paper as [17]
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“Therefore, in support of the findings from a previous systematic review17, the results of this meta-analysis support the use of ccCG to challenge the brain and improve cognitive functions.”
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Cited by
The use of commercial computerised cognitive games in older adults: a meta-analysis
Bonnechère, B., Langley, C., & Sahakian, B. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-72281-3 · Cited by 126
Metadata
- Authors
- Shah, T. M., Weinborn, M., Verdile, G., Sohrabi, H. R., & Martins, R. N.
- Venue
- Neuropsychology Review
- Published
- 2017-01-14
- Volume
- 27
- Issue
- 1
- Pages
- 62-80
- ISSN
- 1040-7308
- 1573-6660
- Cited by
- 129
- References
- 27
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.