Evidence map›Paper›PMID 40144363›Full record

ReviewFrontiers in aging neuroscience2025

Advances in autonomic dysfunction research in Parkinson's disease.

Hongjia Xu, Xiaolei Zheng, Xinyue Xing, Zhichao Bi, Dewei Wang, Cheng Zhang, Lifei Wei, Yulin Jin, Shunliang Xu

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Baseline peripheral inflammatory profiles predict phenoconversion in prodromal Parkinson's disease: a longitudinal cohort study.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2026
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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

9 authors.

Hongjia XuDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xiaolei ZhengDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xinyue XingDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhichao BiDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Dewei WangDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Cheng ZhangDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Lifei WeiDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yulin JinDepartment of Human Genetics, School of Medicine, Emory University, Atlanta, GA, United States.
Shunliang XuDepartment of Neurology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a prevalent neurodegenerative disorder, best known for its motor symptoms such as resting tremor, muscle rigidity, and bradykinesia. However, autonomic dysfunction is an important non-motor aspect that often brings considerable discomfort and distress to both patients and their families. In this review, we summarize recent advances in understanding the pathophysiological mechanisms of autonomic dysfunction and explore its relationship with other clinical features. Our aim is to discover novel potential diagnostic and therapeutic strategies, alleviate patient suffering, and pave the way for future clinical and basic research.

Indexed as

autonomic dysfunctionmotor symptomsnon-motor symptomsParkinson’s diseasereview

Identifiers

PMID40144363
PMCPMC11937016

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.