Evidence map›Paper›PMID 34405296›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Low serum uric acid levels are associated with the nonmotor symptoms and brain gray matter volume in Parkinson's disease.

Xiaoxue Shi, Jinhua Zheng, Jianjun Ma, Zhidong Wang, Wenhua Sun, Mingjian Li, Shen Huang, Shiyu Hu

Open access · hybridAbstract read
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Parkinson's Disease: Biomarkers for Diagnosis and Disease Progression.International journal of molecular sciences · 2024
    Review
  7. Association between serum insulin-like growth factor 1 and osteoporosis risk in Parkinson's disease: a cross-sectional study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  8. Observational
  9. Article
  10. Article
  11. Relationship between serum uric acid levels and the outcome of STN-DBS in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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 at 2 institutions in 1 country.

Xiaoxue ShiDepartment of Neurology, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan Province, China.
Jinhua ZhengDepartment of Neurology, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan Province, China.
Jianjun MaDepartment of Neurology, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan Province, China.ORCID http://orcid.org/0000-0001-5825-1927
Zhidong WangDepartment of Neurology, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan Province, China.
Wenhua SunDepartment of Neurology, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan Province, China.
Mingjian LiDepartment of Neurology, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan Province, China.
Shen HuangDepartment of Neurology, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan Province, China.
Shiyu HuDepartment of Neurology, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan Province, China.
Zhengzhou University · CNHenan Provincial People's Hospital · CN

Funding

Science and Technology Department of Henan Province 192102310085the Henan Provincial Commission of Health and Family Planning 201701018
6 · The paper itself

Abstract

backgroundUric acid (UA) plays a protective role in Parkinson's disease (PD). To date, studies on the relationship between serum UA levels and nonmotor symptoms and brain gray matter volume in PD patients have been rare.

methodsAutomated enzymatic analysis was used to determine serum UA levels in 68 healthy controls and 88 PD patients, including those at the early (n = 56) and middle-late (n = 32) stages of the disease. Evaluation of motor symptoms and nonmotor symptoms in PD patients was assessed by the associated scales. Image acquisition was performed using a Siemens MAGNETOM Prisma 3 T MRI scanner.

resultsSerum UA levels in early stage PD patients were lower than those in healthy controls, and serum UA levels in the middle-late stage PD patients were lower than those in the early stage PD patients. Serum UA levels were significantly negatively correlated with the disease course, dysphagia, anxiety, depression, apathy, and cognitive dysfunction. ROC assessment confirmed that serum UA levels had good predictive accuracy for PD with dysphagia, anxiety, depression, apathy, and cognitive dysfunction. Furthermore, UA levels were significantly positively correlated with gray matter volume in whole brain.

conclusionsThis study shows that serum UA levels were correlated with the nonmotor symptoms of dysphagia, anxiety, depression, apathy, and cognitive dysfunction and the whole-brain gray matter volume. That is the first report examining the relationships between serum UA and clinical manifestations and imaging features in PD patients.

Indexed as

ApathyParkinson DiseaseDisease ProgressionGray MatterHumansUric AcidUric AcidBrain gray matter volumeNonmotor symptomsParkinson’s diseaseSerum uric acid

Identifiers

PMID34405296
PMCPMC8860949
OpenAlexW3193691102

What OpenQuestion 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 OpenQuestion graph.