Evidence map›Paper›PMID 40475794›Full record

ArticleArchives of physiotherapy

Application and adaptation of the Virtual Eggs Test for assessing hand dexterity in subjects with stroke: a pilot study.

Michele Piazzini, Tommaso Ciapetti, Marco Baccini, Stefano Doronzio, Lucia Angelini, Paola Mucci, Robinson Guachi, Marco Controzzi, Francesca Cecchi

Abstract read
In one paragraph

Article in Archives of physiotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The Electronic Grip Gauge (EGG): Automated Assessment of Sensorimotor Hand Function Using an Instrumented Fragile Object.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Michele PiazziniDipartimento di Medicina Sperimentale e Clinica, UniFi, Firenze - Italia.ORCID https://orcid.org/0009-0001-9146-0285
Tommaso CiapettiUnità di Ricerca Neuromotoria, IRCCS Fondazione don Carlo Gnocchi ONLUS, Firenze - Italia.ORCID https://orcid.org/0000-0002-7442-4426
Marco BacciniUnità di Ricerca Neuromotoria, IRCCS Fondazione don Carlo Gnocchi ONLUS, Firenze - Italia.
Stefano DoronzioDipartimento di Medicina Sperimentale e Clinica, UniFi, Firenze - Italia.
Lucia AngeliniThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa - Italy.ORCID https://orcid.org/0009-0005-1874-0538
Paola MucciThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa - Italy.
Robinson GuachiThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa - Italy.ORCID https://orcid.org/0000-0002-0476-6973
Marco ControzziThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa - Italy.ORCID https://orcid.org/0000-0003-2135-0707
Francesca CecchiDipartimento di Medicina Sperimentale e Clinica, UniFi, Firenze - Italia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To verify the feasibility of the Virtual Eggs Test (VET) and establish the ranges of fragilities of the Virtual Eggs (VEs) for assessing dexterity of stroke subjects and to collect feedback to improve its usability. Methods: An observational non-profit study, with a pre-market medical device. It was conducted at a hospital neurorehabilitation unit. Nine subjects with chronic stroke (5 males; mean age 55.8 ± 18.9) performed the pilot with their paretic arm. Time to complete the test (TT), the number of failures for each VE, the threshold (T), and participants' self-reported comfort in performing the test were measured. Results: The T varied among participants from 1.70 to 4.88 N/N. The average TT was 20.1 ± 6.5 minutes (range 11-33). Only one subject found the test uncomfortable. Conclusions: The study found that the VET, with minor modifications, is feasible in stroke subjects. It might be useful for assessing sensorimotor impairment in both the affected and the less affected arm. Its metric properties and normative values in the healthy population will be determined in a study currently underway.

Indexed as

MovementStrokeTechnologyUpper extremity

Identifiers

PMID40475794
PMCPMC12139516

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.