Evidence map›Paper›PMID 42094163›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Utilizing Intraindividual Cognitive Variability to Predict Early Neuronal Synuclein Disease Progression.

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

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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, Houston, TX.
Ryan KurthDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA.
Anuprita NairDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA.
Michele K YorkDepartment of Neurology, Baylor College of Medicine, Houston, TX.
Daniel WeintraubDepartments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
David-Erick LafontantDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA.
Chelsea Caspell-GarciaDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA.
Parkinson’s Progression Markers Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuronal synuclein disease (NSD) involves pathological α-synuclein presence and often dopaminergic dysfunction, initially preceding overt clinical symptoms. NSD-ISS 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 within-person inconsistency across cognitive tasks, has emerged as a potential marker of early neurodegenerative changes. Objectives: This study examined whether IIV-D differentiates NSD Stage 2 participants from healthy controls and predicts progression to more advanced NSD stages. Methods: Data 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 quantified using the total coefficient of variation (CoV) and a domain-specific attention/executive CoV. Group comparisons and logistic regression assessed associations between IIV-D, clinical characteristics, and disease progression. Results: Stage 2 participants exhibited significantly greater CoV than controls ( Conclusions: IIV-D, particularly CoV, may be a sensitive cognitive marker of early NSD and predict short-term disease progression. Findings support integrating cognitive dispersion metrics into early detection strategies for prodromal synucleinopathies, though replication is needed to confirm generalizability and clinical utility.

Identifiers

PMID42094163
PMCPMC13142576

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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.