Evidence map›Paper›PMID 41040675›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Fall Frequency, Risk Factors, and Outcomes in Parkinson's Disease: A Cross-Sectional Analysis.

Joaquin A Vizcarra, Kat Hefter, David-Erick Lafontant, Michael Tran Duong, Ashkan Ertefaie, Brian Litt, Dani S Bassett, Andrew Siderowf

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

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

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.

Joaquin A VizcarraDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0003-0306-4774
Kat HefterCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0009-0004-9475-9217
David-Erick LafontantDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Michael Tran DuongDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Ashkan ErtefaieDepartment of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Brian LittDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Dani S BassettDepartment of Bioengineering, University of Pennsylvania School of Engineering and Applied Sciences, Philadelphia, PA, USA.
Andrew SiderowfDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Funding

Ghost in the Machine: Melding Brain, Computer and BehaviorDP1NS122038 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2020 to 2024
$5.7M
Training Program in Neuroengineering and MedicineT32NS091006 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Brian Litt · 2015 to 2026
$4.1M
Association of Tau and Neuronal Hypometabolism with Positron Emission Tomography in Alzheimer's DiseaseF30AG074524 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DUONG, MICHAEL TRAN · 2022 to 2023
$104k
NIA NIH HHS F30 AG074524NINDS NIH HHS DP1 NS122038NINDS NIH HHS T32 NS091006
6 · The paper itself

Abstract

Background: Falls are a major source of morbidity in Parkinson's disease (PD), yet their evolution over time remains unclear. Objectives: To compare fall risk and outcomes among PD, prodromal alpha-synucleinopathy, (PAS) and healthy controls (HC); estimate fall frequency across PD progression; and characterize clinical features of PD faller subgroups. Methods: We analyzed fall-related outcomes in the Parkinson's Progression Markers Initiative. Yearly rates of rare and frequent falls were estimated by time since diagnosis. Unique PD participants were grouped as never, rare, or frequent fallers. Clinical variables included motor, cognitive, behavioral, sleep, and autonomic measures. Outcomes included injuries and healthcare utilization. Regression models adjusted for age, sex, and disease duration, with Benjamini-Hochberg correction. Results: Across 6,977 visits from 3,100 participants (937 PD, 1,926 PAS, 237 HC), PD participants had higher odds of falling than PAS (OR=1.66, 95% CI [1.46-1.87]) and HC (OR=4.03, 95% CI [3.14-5.23]). PD participants were also more likely to report fall-related injuries and healthcare use than PAS (OR=1.70, 1.71) and HC (OR=3.26, 3.81). Falls occurred in 15.5% of visits at diagnosis and 69.2% after 14 years, increasing across Neuronal Synuclein Disease-Integrated Staging System (NSD-ISS) stages. Frequent fallers had longer disease duration, higher NSD-ISS, and worse clinical profiles. Women were more likely to fall than men (46.1% vs 34.9%, p=0.002) despite milder symptoms. Conclusion: Falls and related morbidity increase with disease duration and NSD-ISS. Risk reflects sex and motor and non-motor factors, supporting a multifactorial model. Fall frequency may represent a practical marker of progression and guide prevention strategies in PD.

Indexed as

fallNSD-ISSParkinsonrisk factors

Identifiers

PMID41040675
PMCPMC12486038

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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.