Evidence map›Paper›PMID 42721347›Full record

ArticleNeuropsychology2026

Utilizing intraindividual cognitive variability to predict progression in stage 2 neuronal synuclein disease.

Hannah L Combs, Ryan Kurth, Anuprita Nair, Michele K York, Daniel Weintraub, David-Erick Lafontant, Chelsea Caspell-Garcia, Parkinson’s Progression Markers Initiative

Abstract read
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In one paragraph

Article in Neuropsychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hannah L CombsDepartment of Neurology, Baylor College of Medicine.ORCID 0009-0002-6336-2407
Ryan KurthDepartment of Biostatistics, College of Public Health, University of Iowa.
Anuprita NairDepartment of Biostatistics, College of Public Health, University of Iowa.
Michele K YorkDepartment of Neurology, Baylor College of Medicine.
Daniel WeintraubDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania.
David-Erick LafontantDepartment of Biostatistics, College of Public Health, University of Iowa.
Chelsea Caspell-GarciaDepartment of Biostatistics, College of Public Health, University of Iowa.
Parkinson’s Progression Markers Initiative

Funding

International Parkinson and Movement Disorder SocietyMichael J. Fox Foundation for Parkinson's ResearchNIH HHSParkinson's FoundationUS Department of Veterans Affairs
6 · The paper itself

Abstract

objectiveNeuronal synuclein disease (NSD) involves pathological α-synuclein presence and often dopaminergic dysfunction, initially preceding overt clinical symptoms. NSD-Integrated Staging System identifies Stage 2A (no dopaminergic dysfunction) and 2B (dopaminergic dysfunction) as prodromal phases marked by subtle clinical signs without functional impairment. Intraindividual variability/dispersion (IIV-D), reflecting the degree of spread in a person's performance across a battery of cognitive tasks, has emerged as a potential marker of early neurodegenerative changes. This study examined whether IIV-D differentiates NSD Stage 2 participants from healthy controls and predicts progression to more advanced NSD stages.

methodData from the Parkinson's Progression Markers Initiative were used to assess performance across 11 neuropsychological tests in 934 participants (832 Stage 2; 102 controls). IIV-D was primarily quantified using the total coefficient of variation (CoV) and a domain-specific attention/executive CoV. Secondary exploratory analyses examined total intraindividual standard deviation (i

resultsStage 2 participants exhibited significantly greater CoV (

conclusionsIIV-D, particularly CoV, may be a sensitive cognitive marker of early NSD and predict short-term disease progression. Measures of i

Identifiers

PMID42721347

What OpenQuestion 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 OpenQuestion graph.