Standardisation in acute stroke research: A scoping review of upper limb assessments against Stroke Recovery and Rehabilitation Roundtable (SRRR) benchmarks.
Milica Doric, Lisa Tedesco Triccas, Mingyao Xiong and 5 others
PMID 41295549WHAT IT FOUND
Acute stroke upper limb research mostly used impairment tests like FMA-UE and NIHSS, not activity or movement-quality measures.
Follow-up timing and imaging use were inconsistent with standard stroke recovery guidelines.
Key findings
01The FMA-UE was the most common upper limb motor assessment, used in 65.8% (87) of studies.
02Only 46.4% (13) of clinical trials conducted a follow-up at 3 months, which is strongly recommended.
03Among studies using structural neuroimaging, 42.1% (32) used it only to confirm stroke diagnosis, not for further outcome evaluation.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The review did not extract individual study findings or assess the quality of the included studies. Only English-language studies were included, and grey literature was not searched. Some studies labelled acute assessed participants after the agreed acute window, and some did not report time post-stroke. Many studies had small samples, and demographic details were often underreported. Some assessments may have been missed because they were recorded under different labels or as subtests within broader tools. Acute-phase practical limits may have made complex movement or imaging assessments less feasible.
Declared interests
The study was funded by Brain Research UK, the UK Stroke Association, the Harold Hyam Wingate Foundation, the Wellcome Trust, and the NIHR Oxford Health Biomedical Research Centre. The authors declared no potential conflicts of interest.
The easy way to misread this
Do not read frequent use of FMA-UE or NIHSS as proof that these tests improve patient care. This review maps research practices, not treatment effects.
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 →