ReviewSensors (Basel, Switzerland)2020
Quantitative Modeling of Spasticity for Clinical Assessment, Treatment and Rehabilitation.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- [Validity and reliability of the Tardieu scale for assessing upper limb spasticity in adults with cerebrovascular disease. Systematic review].Revista de neurologia · 2024Pooled it
- Pooled it
- Are Isokinetic Torque-Angle Models Derived from Healthy Subjects Applicable to Patients with Upper-Limb Neurological Motor Impairment?Annals of biomedical engineering · 2026Trial
- Non-Invasive Assessment of Hypertonic Muscle Properties After Botulinum Toxin Neuromodulation in Post-Stroke Patients: A Systematic Literature Review of Recent Evidence (2023-2025) on Mobility and Balance.Life (Basel, Switzerland) · 2026Review
- Advancements in Understanding Spasticity: A Neuromusculoskeletal Modeling Perspective.Journal of clinical medicine · 2025Review
- Patient performance assessment methods for upper extremity rehabilitation in assist-as-needed therapy strategies: a comprehensive review.Medical & biological engineering & computing · 2025Review
- An instrumented approach to quantify wrist and finger flexor spasticity: A study protocol.PloS one · 2025Article
- Article
- Volitional Control of the Paretic Hand Post-Stroke Increases Finger Stiffness and Resistance to Robot-Assisted Movement.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2024Article
- Identification of Neural and Non-Neural Origins of Joint Hyper-Resistance Based on a Novel Neuromechanical Model.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- A Velocity Stretch Reflex Threshold Based on Muscle-Tendon Unit Peak Acceleration to Detect Possible Occurrences of Spasticity during Gait in Children with Cerebral Palsy.Sensors (Basel, Switzerland) · 2023Article
- The Efficacy of Spinal Cord Stimulators in the Reduction of Multiple Sclerosis Spasticity: A Narrative Systematic Review.Brain & NeuroRehabilitation · 2023Review
- Validity, Intra-Rater Reliability and Normative Data of the Neuroflexor™ Device to Measure Spasticity of the Ankle Plantar Flexors after Stroke.Journal of rehabilitation medicine · 2023Article
- An online method to monitor hand muscle tone during robot-assisted rehabilitation.Frontiers in robotics and AI · 2023Article
- Quantitative measurement of resistance force and subsequent attenuation during passive isokinetic extension of the wrist in patients with mild to moderate spasticity after stroke.Journal of neuroengineering and rehabilitation · 2022Article
- A randomized double-blind controlled study protocol on the efficacy and safety of Sangdantongluo granule in the treatment of post-stroke spasticity.Contemporary clinical trials communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Spasticity, a common symptom in patients with upper motor neuron lesions, reduces the ability of a person to freely move their limbs by generating unwanted reflexes. Spasticity can interfere with rehabilitation programs and cause pain, muscle atrophy and musculoskeletal deformities. Despite its prevalence, it is not commonly understood. Widely used clinical scores are neither accurate nor reliable for spasticity assessment and follow up of treatments. Advancement of wearable sensors, signal processing and robotic platforms have enabled new developments and modeling approaches to better quantify spasticity. In this paper, we review quantitative modeling techniques that have been used for evaluating spasticity. These models generate objective measures to assess spasticity and use different approaches, such as purely mechanical modeling, musculoskeletal and neurological modeling, and threshold control-based modeling. We compare their advantages and limitations and discuss the recommendations for future studies. Finally, we discuss the focus on treatment and rehabilitation and the need for further investigation in those directions.
Indexed as
Identifiers
What OpenQuestion holds
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.