ArticleJournal of neurology2021
Portable fixed dynamometry: towards remote muscle strength measurements in patients with motor neuron disease.
Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05941962 (Use of Hand-held Dynamometry to Obtain Objective Measures of Lower Extremity Rate of Peak Force Production, Cumulative Peak Force Production, and Sustained Peak Force Production Among Patients With Chronic Stroke), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Use of Hand-held Dynamometry to Obtain Objective Measures of Lower Extremity Rate of Peak Force Production, Cumulative Peak Force Production, and Sustained Peak Force Production Among Patients With Chronic Stroke
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease.Journal of neurology · 2022Pooled it
- Leap Motion Controller Video Game-Based Therapy for Upper Extremity Motor Recovery in Patients with Central Nervous System Diseases. A Systematic Review with Meta-Analysis.Sensors (Basel, Switzerland) · 2021Pooled it
- Agreement-Based Validation of ISOMETRO for Upper-Limb Isometric Tension Measurements.Sensors (Basel, Switzerland) · 2026Article
- Tumor microenvironment and immune-related myositis: addressing muscle wasting in cancer immunotherapy.Frontiers in immunology · 2025Review
- Assessment of muscle strength in para-athletes: A systematic review of observational studies.Sports medicine and health science · 2022Review
- Patient perspectives on digital healthcare technology in care and clinical trials for motor neuron disease: an international survey.Journal of neurology · 2022Article
- Considerations for Amyotrophic Lateral Sclerosis (ALS) Clinical Trial Design.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundWe aimed to determine (1) the test-retest reliability of a newly developed portable fixed dynamometer (PFD) as compared to the hand-held dynamometer (HHD) in patients with motor neuron disease (MND) and (2) the PFD's ability to reduce possible examiner-induced ceiling effects.
methodsTest-retest reliability of isometric muscle strength of the quadriceps was measured in patients with MND and non-neurological controls using the HHD and PFD. Reliability was estimated by the intraclass correlation coefficient (ICC) and standard error of measurement (SEM) using linear mixed effects models, and the Bland-Altman method of agreement.
resultsIn total, 45 patients with MND and 43 healthy controls were enrolled in this study. The ICC of the PFD was excellent and similar in both patients and controls (ICC
conclusionsPortable fixed dynamometry may significantly reduce examiner-induced ceiling effects, optimize the standardization of muscle strength testing, and maximize reliability. Ultimately, PFD may improve the delivery of care due to its potential for unsupervised, home-based assessments and reduce the burden to the patient of participating in clinical trials for MND or other neuromuscular diseases.
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Registered trials
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.