ReviewTranslational neurodegeneration2022
Prodromal Parkinson's disease: hype or hope for disease-modification trials?
Review in Translational neurodegeneration, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Systematic review-based guideline "Parkinson's disease" of the German Society of Neurology: diagnostic use of transcranial sonography.Journal of neurology · 2024Guideline
- Rethinking the concept of disease modification in an evolving Parkinson's disease treatment landscape.Journal of Parkinson's disease · 2026Review
- Evaluating the Relationship Between Early Non-Motor Symptoms and Late Diagnosis of Parkinson's Disease Based on the PPMI Database From 2012 to 2018: A Retrospective Cross-Sectional Study.Health science reports · 2026Article
- A Collaborative Approach to Creating Knowledge-Building Resources for the Early-Stage Parkinson's Disease Community.Neurology and therapy · 2026Article
- Overexpression of phosphorylated and truncated α-Synuclein does not trigger Parkinsonian readouts in A53T-SNCA mice.NPJ Parkinson's disease · 2026Article
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- The Use of a Digital Social Forum in a Parkinson's Disease Risk Cohort: A Thematic Analysis of Forum Messages.Parkinson's disease · 2026Article
- Machine learning analysis of population-wide plasma proteins identifies hormonal biomarkers of Parkinson's disease.Frontiers in aging neuroscience · 2026Article
- Phase II pilot randomized trial of zonisamide for disease modification in prodromal Lewy body disease.NPJ Parkinson's disease · 2025Article
- A perspective of persons with Parkinson's disease on the contribution of alpha-synuclein seed amplification assay biomarker to the diagnosis of Parkinson's disease.Journal of Parkinson's disease · 2025Article
- Parkinson's Disease: Bridging Gaps, Building Biomarkers, and Reimagining Clinical Translation.Cells · 2025Review
- Classification of Parkinson's disease and isolated REM sleep behaviour disorder: delineating progression markers from the sebum volatilome.NPJ Parkinson's disease · 2025Article
- Cortical macro- and microstructural changes in isolated rapid eye movement sleep behavior disorder.NPJ Parkinson's disease · 2025Article
- Reported Symptoms in Prodromal and Early Motor Parkinson's Disease: A Scoping Review on the Patient Perspective.Movement disorders clinical practice · 2025Article
- Microglial dynamics and neuroinflammation in prodromal and early Parkinson's disease.Journal of neuroinflammation · 2025Review
- Multimodal diagnostic tools and advanced data models for detection of prodromal Parkinson's disease: a scoping review.BMC medical imaging · 2025Article
- Gait analysis in older adults with mild cognitive impairment: a bibliometric analysis of global trends, hotspots, and emerging frontiers.Frontiers in aging · 2025Article
- Article
- Electroacupuncture alleviates Parkinson's disease by inhibiting the NLRP3 inflammasome pathway.American journal of translational research · 2025Article
- Brain structural MRI marker for predicting conversion to Parkinson's disease in individuals with prodromal symptoms.Frontiers in aging neuroscience · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ultimate goal in Parkinson's disease (PD) research remains the identification of treatments that are capable of slowing or even halting the progression of the disease. The failure of numerous past disease-modification trials in PD has been attributed to a variety of factors related not only to choosing wrong interventions, but also to using inadequate trial designs and target populations. In patients with clinically established PD, neuronal pathology may already have advanced too far to be modified by any intervention. Based on such reasoning, individuals in yet prediagnostic or prodromal disease stages, may provide a window of opportunity to test disease-modifying strategies. There is now sufficient evidence from prospective studies to define diagnostic criteria for prodromal PD and several approaches have been studied in observational cohorts. These include the use of PD-risk algorithms derived from multiple established risk factors for disease as well as follow-up of cohorts with single defined prodromal markers like hyposmia, rapid eye movement sleep behavior disorders, or PD gene carriers. In this review, we discuss recruitment strategies for disease-modification trials in various prodromal PD cohorts, as well as potential trial designs, required trial durations, and estimated sample sizes. We offer a concluding outlook on how the goal of implementing disease-modification trials in prodromal cohorts might be achieved in the future.
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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.