Evidence map›Paper›PMID 40495914›Full record

ArticleClinical parkinsonism & related disorders2025

Motor asymmetry in Parkinson's disease: Diagnostic thresholds based on clinical scores and DaTSCAN imaging.

Philippe Voruz, Julie Péron

Abstract read
In one paragraph

Article in Clinical parkinsonism & related disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Is motor asymmetry a predictor of non-motor outcomes in Parkinson's disease?Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  2. Article
  3. Article
  4. Gene expression asymmetry in Parkinson's disease: variation ofFrontiers in molecular neuroscience · 2025
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Philippe VoruzClinical and Experimental Neuropsychology Laboratory, Department of Psychology and Swiss Centre for Affective Sciences, University of Geneva, Geneva, Switzerland.
Julie PéronClinical and Experimental Neuropsychology Laboratory, Department of Psychology and Swiss Centre for Affective Sciences, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor asymmetry is a key feature of Parkinson's disease that can influence disease progression and patient outcomes. However, there is currently no consensus on the best method or clear thresholds to determine motor asymmetry, which limits the ability to standardize its assessment across studies. This work aimed to determine which motor asymmetry score - standardized or non-standardized - best predicts dopaminergic damage in the putamen, as measured by DaTSCAN, and to establish clear thresholds for distinguishing symmetric from asymmetric profiles. Data from the Parkinson's Progression Markers Initiative were utilized for the Receiver Operating Characteristic curve analysis. Both motor asymmetry scores significantly predicted dopaminergic asymmetry, with the non-standardized score showing a slightly higher predictive power (area under the curve [AUC] = 0.621, p < 0.001) compared to the standardized score (AUC = 0.569, p = 0.018). For the non-standardized score, a cut-off of ± 2.50 yielded a sensitivity of 0.874 and specificity of 0.783. In contrast, the standardized score achieved a cut-off of ± 0.188, resulting in a sensitivity of 0.908 and specificity of 0.823. These findings underscore the importance of motor asymmetry in clinical evaluations of Parkinson's disease and provide a foundation for further research aimed at refining diagnostic thresholds.

Indexed as

DaTSCANDiagnostic ThresholdsMDS-UPDRS IIIMotor AsymmetryParkinson’s DiseaseROC Curve

Identifiers

PMID40495914
PMCPMC12148812

What Socratic holds

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Registered trials

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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 Socratic graph.