Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review.
Federica Bressi, Laura Cricenti, Benedetta Campagnola and 39 others
PMID 36530099WHAT IT FOUND
Across 81 robotic arm therapy trials in stroke, 90% screened patients for cognitive impairment but only 9% measured whether cognition changed.
The few cognitive results that exist are mixed, with no consistent benefit on thinking or attention.
Key findings
01Of 81 included trials, 90% used cognitive screening as an inclusion or exclusion criterion, but only 9% measured cognitive outcomes.
02The seven studies that did assess cognition showed mixed results: the ACE-R improved significantly, the FIM cognitive subscore improved in two of three trials, but the MoCA and FAB showed no significant change.
03The MMSE was the most common cognitive screening tool, but cut-off scores ranged from 15 to 27 points across studies, and no standard assessment battery was agreed upon.
STILL TO COME
How it was doneWhat they foundWhat it means for PTs
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What it does not show
Only seven of the 81 trials measured cognitive outcomes, so the evidence for any cognitive effect is extremely limited and the results were inconsistent across scales. The cognitive screening tools and cut-off scores varied widely across studies (MMSE cut-offs from 15 to 27), making it impossible to compare who was actually included or excluded. The review is a qualitative synthesis only; no meta-analysis was performed, so no pooled effect sizes are available. Heterogeneous interventions, populations, and assessment protocols across the 81 trials limit generalisability. The search was conducted in March 2021, so any trials published in 2022 or later are not included. Most trials did not blind patients or therapists, which is expected for a physical intervention but limits interpretation.
The easy way to misread this
Do not read the mixed cognitive results as evidence that robotic arm therapy improves thinking, attention, or memory. Only seven of the 81 trials measured cognition, the results were inconsistent across different scales, and the review itself calls for further trials before any conclusion can be drawn. The 90% figure refers to screening for eligibility, not to a measured benefit.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →