ReviewNPJ Parkinson's disease2018
Viewpoint and practical recommendations from a movement disorder specialist panel on objective measurement in the clinical management of Parkinson's disease.
Review in NPJ Parkinson's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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
45 citing papers in PubMed, 84 citations in OpenAlex.
- Motor Efficacy of Subcutaneous DIZ102, Intravenous DIZ101 or Intestinal Levodopa/Carbidopa Infusion.Movement disorders clinical practice · 2024Trial
- Clinical Scales and Wearable Sensors in Patients with Essential Tremor Treated with Deep Brain Stimulation.Movement disorders clinical practice · 2026Article
- Wearable sensor measurements in relation to clinical characteristics and mortality in patients with Parkinson's disease.Neurological research and practice · 2026Article
- Article
- Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.Journal of Parkinson's disease · 2025Article
- Perspectives on digital health and advanced treatment referral in Parkinson's care among Danish neurologists: a mixed methods study.Frontiers in neurology · 2025Article
- Observational
- Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson's Disease Using Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- Overview on wearable sensors for the management of Parkinson's disease.NPJ Parkinson's disease · 2023Review
- Levodopa-Induced Dyskinesias in Parkinson's Disease: An Overview on Pathophysiology, Clinical Manifestations, Therapy Management Strategies and Future Directions.Journal of clinical medicine · 2023Review
- Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough?Sensors (Basel, Switzerland) · 2023Article
- Symptoms assessment and decision to treat patients with advanced Parkinson's disease based on wearables data.NPJ Parkinson's disease · 2023Article
- Identification and quantitative assessment of motor complications in Parkinson's disease using the Parkinson's KinetiGraph™.Frontiers in aging neuroscience · 2023Article
- Measurement of bradykinesia and chorea in Huntington's Disease using ambulatory monitoring.Clinical parkinsonism & related disorders · 2023Article
- Clinical correlates of movement disorders in adult Niemann-Pick type C patients measured via a Personal KinetiGraph.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- Characterization of Non-Motor Fluctuations Using the Movement Disorder Society Non-Motor Rating Scale.Movement disorders clinical practice · 2022Article
- Do neuropsychiatric fluctuations temporally match motor fluctuations in Parkinson's disease?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- A cross-sectional study of knowledge and practices in the management of patients with Parkinson's disease amongst public practice-based general practitioners and geriatricians.BMC health services research · 2022Article
- Sensor Measurements Can Characterize Fluctuations and Wearing Off in Parkinson's Disease and Guide Therapy to Improve Motor, Non-motor and Quality of Life Scores.Frontiers in aging neuroscience · 2022Article
- Body-Worn Sensors for Parkinson's disease: A qualitative approach with patients and healthcare professionals.PloS one · 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
11 authors at 10 institutions in 9 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motor aspects of Parkinson's disease, such as fluctuations and dyskinesia, can be reliably evaluated using a variety of "wearable" technologies, but practical guidance on objective measurement (OM) and the optimum use of these devices is lacking. Therefore, as a first step, a panel of movement disorder specialists met to provide guidance on how OM could be assessed and incorporated into clinical guidelines. A key aspect of the incorporation of OM into the management of Parkinson's disease (PD) is defining cutoff values that separate "controlled" from "uncontrolled" symptoms that can be modified by therapy and that relate to an outcome that is relevant to the person with PD (such as quality of life). Defining cutoffs by consensus, which can be subsequently tested and refined, is the first step to optimizing OM in the management of PD. OM should be used by all clinicians that treat people with PD but the least experienced may find the most value, but this requires guidance from experts to allow non-experts to apply guidelines. While evidence is gained for devices that produce OM, expert opinion is needed to supplement the evidence base.
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.