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Computerized Cognitive Training in Cognitively Healthy Older Adults: A Systematic Review and Meta-Analysis of Effect Modifiers
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“CCT was found to be modestly effective at improving cognitive performance in healthy older adults, though efficacy varied across cognitive domains12.”
From The use of commercial computerised cognitive games in older adults: a meta-analysis (2020) · cites this paper as [12]
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“the first meta-analysis12 was published in 2014 and has not been updated since”
From The use of commercial computerised cognitive games in older adults: a meta-analysis (2020) · cites this paper as [12]
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Metadata
- Authors
- Lampit, A., Hallock, H., & Valenzuela, M.
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-11-18
- Volume
- 11
- Issue
- 11
- Pages
- e1001756
- ISSN
- 1549-1676
- Cited by
- 891
- References
- 21
- 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.