Objective quantification of responses to the clinical pull-test in people with Parkinson's disease.
Tuhin Virmani, Mousumi Patra, Aliyah Glover and 1 others
PMID 37156162WHAT IT FOUND
An instrumented pull-test measured on a gait mat showed people with Parkinson's took shorter and slower backward steps than controls.
These measurements correlated with motor severity scores, offering a way to track subtle balance changes before clinical scores shift.
Key findings
01People with Parkinson's disease had significantly shorter backward step distances than controls, particularly during light and mild pulls.
02The distance of the backward step was inversely correlated with motor UPDRS scores, meaning higher disease severity was associated with shorter steps.
03The instrumented pull-test showed good agreement when repeated on different days for step distance, velocity, and time, suggesting it is reproducible.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
Participants who fell or took multiple steps during the pull-test were excluded, so the findings do not apply to those with severe postural instability. The study did not quantify the exact force or velocity of the manual pulls, introducing potential variability in how the perturbation was applied. Participants were assessed only in the levodopa-medicated state, so the effect of medication fluctuations on these measures was not examined. Fall frequency was based on self-report, which is subject to recall bias, and did not significantly predict step metrics in regression models.
Declared interests
The study was supported by the National Institutes of Health (N.I.H.) and non-U.S. government sources. No commercial conflicts of interest were reported.
The easy way to misread this
Do not interpret the correlations with disease severity as proof that this instrumented test predicts falls. The study excluded patients who fell during testing, and the correlation between step distance and self-reported fall frequency was weak and not significant in regression models.