Evidence map›Paper›PMID 39649721›Full record

ArticleFrontiers in aging neuroscience2024

Total burden of cerebral small vessel disease predict subjective cognitive decline in patients with Parkinson's disease.

Wenchao Qiu, Weili Hu, Yingchao Ge, Peiting Liu, Minghui Zhao, Haifeng Lu, Jian Tao, Shouru Xue

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

8 authors.

Wenchao Qiu *Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Weili Hu *Department of Neurology, Lianshui County People's Hospital, Huai'an, China.
Yingchao Ge *Department of Neurology, Qidong People's Hospital, Nantong, China.
Peiting LiuDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Minghui ZhaoDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Haifeng LuDepartment of Radiology, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.
Jian TaoDepartment of Radiology, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.
Shouru XueDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigates the correlation between the total burden of Cerebral Small Vessel Disease (CSVD) and Subjective Cognitive Decline (SCD) in patients with Parkinson's disease (PD). Methods: A cross-sectional design was employed, involving 422 patients with PD. Demographic and clinical data were collected. Brain magnetic resonance imaging (MRI) was conducted to identify CSVD markers. SCD was assessed using the Cognitive Complaints Inventory (CCI). Results: Logistic regression analyses revealed that the total burden of CSVD and specific imaging markers, including Deep White Matter Hyperintensities (DWMH), Periventricular Hyperintensities (PVH), and Enlarged Perivascular Spaces (EPVS), were significant predictors of SCD. The total burden of CSVD demonstrated the highest predictive accuracy for SCD in PD patients. Discussion: The findings suggest that the total burden of CSVD, as measured by MRI, could serve as a potential biomarker for early identification of cognitive decline in PD, highlighting the importance of considering vascular factors in the early detection of cognitive changes in PD.

Indexed as

cerebral small vessel diseasemagnetic resonance imagingParkinson’s diseasepredictive biomarkerssubjective cognitive decline

Identifiers

PMID39649721
PMCPMC11621090

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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.