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Computerized cognitive training in Parkinson's disease: A systematic review and meta-analysis
Gavelin HM, Domellöf ME, Leung I, Neely AS, Launder NH, Nategh L, Finke C, Lampit A.. Ageing research reviews, 2022-06-14
Topic: Risk, prevention and care in population studies
Cognitive impairment is a central non-motor symptom of Parkinson's disease (PD), and there are no established treatments. Computerized cognitive training (CCT) is a safe and efficacious strategy but its efficacy in PD is unclear. We aimed to investigate the efficacy of CCT on cognitive, psychosocial and daily function, and assess potential effect moderators in people with PD without dementia. Randomized controlled trials of CCT were included in multivariate meta-analyses and meta-regressions. Seventeen studies (16 trials) encompassing 679 participants were included. The pooled effect of CCT relative to control was small and statistically significant for overall cognitive function (g=0.16; 95% CI 0.02-0.29). There was robust evidence for benefit on clinical measures of global cognition across 10 trials (g=0.33; 95% CI 0.19-0.48), especially in PD with mild cognitive impairment (PD-MCI), as well as on individual cognitive domains. Greater CCT dose and PD-MCI population were associated with larger effect sizes, but no statistically significant differences were found between subgroups. There was no significant difference in the efficacy of home-based compared to supervised training. Our findings suggest that CCT is associated with cognitive benefits in PD, including when delivered remotely. Larger, well-powered trials are warranted to examine what specific CCT regimens are most likely to promote cognitive and everyday functioning in the long-term.
Key findings
- The pooled effect of CCT relative to control was small and statistically significant for overall cognitive function (g=0.16; 95% CI 0.02-0.29).
- Greater CCT dose and PD-MCI population were associated with larger effect sizes, but no statistically significant differences were found between subgroups.
- There was no significant difference in the efficacy of home-based compared to supervised training.
- Our findings suggest that CCT is associated with cognitive benefits in PD, including when delivered remotely.
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Study details
- Study designmeta-analysis
- Participants679
- Evidence strengthHigh
How this study scored 76/100
Published in a peer-reviewed journal, and it is a meta-analysis pooling many studies. Scored zero for effect reported because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 44 of the 58 points we could judge it on, which is 76 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Ageing research reviews) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 12 / 12 | A meta-analysis pooling many studies |
| Strength of evidence | 5 / 5 | Rated “high” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2022 — within 6 year(s) of the newest study here |
| Sample size | 2 / 4 | 679 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 35714854) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 44 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 44 of the 58 points we could judge it on is 76 out of 100. |
| Total | 76 / 100 | — |
What each of these 20 components measures, and what this score is not →
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 8 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
APA 7th
Gavelin, H. M., Domellöf, M. E., Leung, I., Neely, A. S., Launder, N. H., Nategh, L., et al. (2022). Computerized cognitive training in Parkinson's disease: A systematic review and meta-analysis. Ageing research reviews. https://doi.org/10.1016/j.arr.2022.101671
Vancouver
Gavelin HM, Domellöf ME, Leung I, Neely AS, Launder NH, Nategh L, et al. Computerized cognitive training in Parkinson's disease: A systematic review and meta-analysis. Ageing research reviews. 2022. doi:10.1016/j.arr.2022.101671. PMID: 35714854.
BibTeX
@article{gavelin2022-35714854,
author = {Gavelin, H. M. and Domellöf, M. E. and Leung, I. and Neely, A. S. and Launder, N. H. and Nategh, L. and Finke, C. and Lampit, A.},
title = {{Computerized cognitive training in Parkinson's disease: A systematic review and meta-analysis}},
journal = {Ageing research reviews},
year = {2022},
doi = {10.1016/j.arr.2022.101671},
pmid = {35714854},
url = {https://doi.org/10.1016/j.arr.2022.101671}
}
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