ArticleNeurology and therapy2025
Clinical, Humanistic, and Economic Value of 'Good ON-Time' in Advanced Parkinson's Disease: A Multinational Real-World Study.
Article in Neurology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Tavapadon as Adjunctive Treatment for Parkinson Disease: The TEMPO-3 Randomized Clinical Trial.JAMA neurology · 2026Trial
- Patient-reported outcomes and experiences with COMT inhibitors in the management of motor fluctuations in Parkinson's disease: a UK-based nested cross-sectional study.Journal of neurology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn advanced Parkinson's disease (aPD), 'ON-time' indicates periods of better symptom control, with 'good ON-time (GOT)' indicating control without troublesome dyskinesia. Despite its importance, the impact of increased 'GOT' on aPD outcomes is understudied. This study aims to evaluate the clinical, humanistic, and economic value of incremental hourly increases in 'GOT' for people with aPD.
methodsThe study analyzed data from people with aPD across seven countries, using the Adelphi Parkinson's Disease Specific Program survey (2017-2020). 'GOT' (calculated from self-reported ON/OFF-time and the proportion of troublesome dyskinesia time) was normalized to a 16-h day. Outcomes included symptom control, medication use, falls, activities of daily living (ADLs), quality of life (QoL), and healthcare resource utilization (HRU). Regression models evaluated relationships between incremental 'GOT' hours and outcomes.
resultsOf 802 patients (mean [standard deviation; SD] age, 76.1 [8.9] years; male, 60.3%) included in the analysis, mean (SD) 'GOT' was 13.1 (2.7) hours/day. Hourly increases in 'GOT' were associated with lower likelihood of reporting uncontrolled motor (odds ratio [OR] 0.79; 95% confidence interval (CI) [0.62, 1.01]) and non-motor symptoms (OR 0.88; 95% CI [0.80, 0.96]), taking ≥ 2 PD medication classes (OR 0.91; 95% CI [0.86, 0.97]) and lower fall risk (incidence rate ratio 0.91; 95% CI [0.87, 0.95]). Hourly increases in 'GOT' were significantly associated with reduced humanistic burden (greater ADL independence, OR 1.19; 95% CI [1.04 1.37]) and improved QoL (for Parkinson's Disease Questionnaire [PDQ]-39: coefficient - 1.49; 95% CI [- 2.46, - 0.52]) and with reduced economic burden, with annual total HRU cost-savings of $8602.24 (95% CI - $12,192.70 to $5011.77).
conclusionsIn this multi-country, real-world study of people with aPD, hourly increases in 'GOT' were associated with improved clinical outcomes, greater humanistic value, and reduced economic burden. Interventions that maximize improvement of 'GOT' should be considered for people with aPD adequately controlled on current therapy.
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.