ArticleAnnals of Indian Academy of Neurology
Teleneurorehabilitation for Parkinson's Disease: A Panacea for the Times to Come?
Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Telerehabilitation - Historical Perspectives and Conceptual Framework in Reference to Neurological Disorders: A Narrative Review.NeuroRehabilitation · 2025Pooled it
- Article
- Advances in the Neuro-Rehabilitation of Parkinson's Disease: Insights from a Personalized Multidisciplinary Innovative Pathway.Biomedicines · 2024Article
- Digital Technology Enablers of Tele-Neurorehabilitation in Pre- and Post-COVID-19 Pandemic Era - A Scoping Review.International journal of telerehabilitation · 2024Article
- A Communication Partner Training Program Delivered via Telehealth for People Living With Parkinson's (Better Conversations With Parkinson's): Protocol for a Feasibility Study.JMIR research protocols · 2023Article
- Telerehabilitation: A Practical Remote Alternative for Coaching and Monitoring Physical Kinetic Therapy in Patients with Mild and Moderate Disabling Parkinson's Disease during the COVID-19 Pandemic.Parkinson's disease · 2022Article
- Consensus Statement on Neurorehabilitation during COVID-19 Times: Expert Group on Behalf of the Indian Federation of Neurorehabilitation (IFNR).Annals of Indian Academy of NeurologyArticle
- Prioritizing Neuro-rehabilitation Services in Low-and Middle-income countries: Needs, Challenges and Possible Solutions.Annals of Indian Academy of NeurologyArticle
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telemedicine is witnessing a rebirth due to the COVID-19 pandemic and the continuing need for limited-contact or contactless care in medicine. Telerehabilitation, an offshoot of telemedicine, is a valuable yet underexplored tool in the therapeutic armamentarium of patients with neurological conditions, particularly Parkinson's disease (PD). Although there is evidence in literature reporting the use of telerehabilitation and virtual reality-based services in providing rehabilitation to improve speech, swallowing, gait, and postural instability among persons with PD, the evidence is limited due to small patient numbers. Teleneurorehabilitation (TNR) is an underutilized strategy that may be as effective and perhaps more feasible and affordable among Indian PD patients and also allows sustained rehabilitation. In this article, we encapsulate the evidence on the utility and efficacy of TNR among persons with PD and call upon the neurology community to recognize and utilize the valuable asset that TNR may be for PD patients.
Indexed as
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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.