Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
20 authors.
Pantelis SyringasBiomedical Engineering Laboratory, National Technical University of Athens, 9, Herοon Polytechniou Str., Zografou, 15773 Athens, Greece.ORCID 0009-0005-8454-2214
Vassiliki PotsikaUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.
Nikolaos TachosUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0002-8627-6352
Athanasios PardalisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.
Christoforos PapaioannouUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0003-0618-7569
Alexandros MitsisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.
Emilios E PakosLaboratory of Orthopaedics and Biomechanics, Department of Orthopaedics, Medical School, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0002-0018-4204
Orestis N ZestasCNA Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22100 Tripoli, Greece.
Georgios PapagiannisBiomechanics Laboratory, Physiotherapy Department, University of the Peloponnese, 23100 Sparta, Greece.ORCID 0000-0002-2846-1031
Athanasios TriantafyllouBiomechanics Laboratory, Physiotherapy Department, University of the Peloponnese, 23100 Sparta, Greece.ORCID 0000-0002-4266-9269
Nikolaos D TselikasCNA Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22100 Tripoli, Greece.ORCID 0000-0001-5799-3558
Konstantina G YiannopoulouNeurological Department, Henry Dunant Hospital Center, 11526 Athens, Greece.ORCID 0000-0002-4876-4566
George PapathanasiouLaboratory of Neuromuscular and Cardiovascular Study of Motion, Physiotherapy Department, Faculty of Health and Care Sciences, University of West Attica, 12243 Egaleo, Greece.
George GeorgoudisResearch Laboratory of Musculoskeletal Physiotherapy, University of West Attica, 12243 Athens, Greece.ORCID 0000-0003-3274-8251
Daphne BakalidouLaboratory of Neuromuscular and Cardiovascular Study of Motion, Physiotherapy Department, Faculty of Health and Care Sciences, University of West Attica, 12243 Egaleo, Greece.
Maria KyriakidouBiomechanics Laboratory, Physiotherapy Department, University of the Peloponnese, 23100 Sparta, Greece.
Panagiotis GkriliasBiomechanics Laboratory, Physiotherapy Department, University of the Peloponnese, 23100 Sparta, Greece.ORCID 0000-0002-4377-5223
Ioannis KakkosBiomedical Engineering Laboratory, National Technical University of Athens, 9, Herοon Polytechniou Str., Zografou, 15773 Athens, Greece.ORCID 0000-0001-8365-2140
George K MatsopoulosBiomedical Engineering Laboratory, National Technical University of Athens, 9, Herοon Polytechniou Str., Zografou, 15773 Athens, Greece.ORCID 0000-0002-2600-9914
Dimitrios I FotiadisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0002-7362-5082
Funding
European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation Τ2ΕDΚ-04333, MIS: 5131369
6 · The paper itself
Abstract
BACKGROUND/
objectivesSpasticity commonly occurs in individuals after experiencing a stroke, impairing their hand function and limiting activities of daily living (ADLs). In this paper, we introduce an exoskeletal aid, combined with a set of augmented reality (AR) games consisting of the Rehabotics rehabilitation solution, designed for individuals with upper limb spasticity following stroke.
methodsOur study, involving 60 post-stroke patients (mean ± SD age: 70.97 ± 4.89 years), demonstrates significant improvements in Ashworth Scale (AS) scores and Box and Block test (BBT) scores when the Rehabotics solution is employed.
resultsThe intervention group showed slightly greater improvement compared to the control group in terms of the AS (-0.23, with a confidence interval of -0.53 to 0.07) and BBT (1.67, with a confidence interval of 1.18 to 2.16). Additionally, the Rehabotics solution was particularly effective for patients with more severe deficits. Patients with an AS score of 3 showed more substantial improvements, with their AS scores increasing by -1.17 ± 0.39 and BBT scores increasing by -4.83 ± 0.72.
conclusionsThese findings underscore the potential of wearable hand robotics in enhancing stroke survivors' hand rehabilitation, emphasizing the need for further investigations into its broader applications.
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.
Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study. · full record | OpenQuestion