Evidence mapPaperPMID 41370092Full record

ArticleJournal of Parkinson's disease2026

Echocardiographic insights into cardiovascular autonomic dysfunction in Parkinson's disease.

Zihao Li, Xiaohong Li, Wenlin Huang, Ziqi Gao, Piao Zhang, Chentao He, Siming Rong, Mengfei Cai, Zhenzhen Chen, Yan Li and 5 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Zihao LiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0009-0005-8919-2217
Xiaohong LiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Wenlin HuangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Ziqi GaoDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Piao ZhangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Chentao HeDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Siming RongDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Mengfei CaiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-0927-2558
Zhenzhen ChenDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yan LiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Ruixue XuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lijuan WangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zhichao ZhengDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hongwen FeiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yuhu ZhangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-3492-4669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundParkinson's disease (PD) is associated with a high prevalence of cardiovascular dysfunction, a leading cause of mortality in these patients. Autonomic dysfunction, including cardiac autonomic dysfunction (CAD), is increasingly recognized as a significant non-motor symptom in PD and may contribute to adverse cardiac outcomes.ObjectiveTo investigate echocardiographic alterations in PD patients with CAD and evaluate their diagnostic utility for CAD detection.MethodsParticipants were categorized into PD-CAD and PD-nCAD groups based on Cardiovascular Autonomic Reflex Tests. Echocardiographic assessments included standard transthoracic echocardiography and two-dimensional speckle-tracking strain imaging. Multivariable regression was used to identify predictors of PD-CAD. Receiver operating characteristic curves, integrated discrimination improvementResultsA total of 78 participants were included, with a median Hoehn and Yahr stage of 2.00 [IQR 2.00, 2.50]. Among them, 33.33% were classified as having PD-CAD. Impaired systolic function characterized by decreasing left ventricular global longitudinal strain and lower systolic mitral annular velocity were found in PD-CAD group. A model combining LV-GLS, s', and LVMI predicted CAD with AUC = 0.737 (95% CI:0.624-0.850), comparable to conventional autonomic markers.ConclusionSubclinical systolic dysfunction (LV-GLS, s') reflects autonomic-mediated myocardial injury in PD and demonstrates diagnostic potential for CAD identification. Echocardiography may bridge autonomic dysfunction and cardiovascular risk in PD.

Indexed as

Autonomic Nervous System DiseasesCardiovascular DiseasesEchocardiographyParkinson DiseaseVentricular Dysfunction, LeftAgedFemaleHumansMaleMiddle Agedcardiovascular autonomic dysfunctiondiagnostic performanceechocardiographymyocardial strainparkinson's disease

Identifiers

PMID41370092
PMCPMC13347571

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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.