Evidence map›Paper›PMID 28319195›Full record

SynthesisPloS one2017

Serum uric acid levels in patients with Parkinson's disease: A meta-analysis.

Min Wen, Bo Zhou, Yun-Hua Chen, Zhao-Lei Ma, Yun Gou, Chun-Lin Zhang, Wen-Feng Yu, Ling Jiao

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A novel oxidative-inflammatory biomarker for Parkinson's disease: clinical utility of the uric acid-to-albumin ratio.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Machine learning-based non-invasive Parkinson's disease diagnostic model using clinical blood biomarkers.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  8. Review
  9. Article
  10. The role of uric acid in Parkinson's disease: a UK brain bank pathology-validated case-control study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Differential methylation ofFrontiers in aging neuroscience · 2025
    Article
  16. Article
  17. Early diagnosis of Parkinson's disease: biomarker study.Frontiers in aging neuroscience · 2025
    Review
  18. Article
  19. Article
  20. Update: Protective and risk factors for Parkinson disease.Parkinsonism & related disorders · 2024
    Review

9 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Min WenDepartment of Anatomy, Guizhou Medical University, Guiyang, China.
Bo ZhouDepartment of Biology, Guizhou Medical University, Guiyang, China.
Yun-Hua ChenDepartment of Anatomy, Guizhou Medical University, Guiyang, China.
Zhao-Lei MaDepartment of Neurology, BaiYun Hospital, Guizhou Medical University, Guiyang, China.
Yun GouDepartment of Anatomy, Guizhou Medical University, Guiyang, China.
Chun-Lin ZhangDepartment of Biology, Guizhou Medical University, Guiyang, China.
Wen-Feng YuKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education, P. R. China; Key Laboratory of Medical Molecular Biology, Guizhou Medical University, Guizhou Province, Guiyang, P. R. China.
Ling JiaoDepartment of Neurology, Affiliated Hospital, Guizhou Medical University, Guiyang, China.
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower serum uric acid (UA) levels have been reported as a risk factor in Parkinson's disease (PD). However, the results have been inconsistent so far.

objectivesThe aim of the present study was to clarify the potential relationship of uric acid with PD.

methodsComprehensive electronic search in pubmed, web of science, and the Cochrane Library database to find original articles about the association between PD and serum uric acid levels published before Dec 2015. Literature quality assessment was performed with the Newcastle-Ottawa Scale. Random-effects model was used to estimate the standardized mean differences (SMDs) with 95% confidence intervals (CIs). Heterogeneity across studies was assessed using I2 and H2 statistics. Sensitivity analyses to assess the influence of individual studies on the pooled estimate. Publication bias was investigated using funnel plots and Egger's regression test. Analyses were performed by using Review Manager 5.3 and Stata 11.0.

resultsThirteen studies with a total of 4646 participants (2379 PD patients and 2267 controls) were included in this meta-analysis. The current results showed that the serum UA levels in PD patients were significantly lower compared to sex and age-matched healthy controls (SMD: -0.49, 95% CI: [-0.67, -0.30], Z = 5.20, P < 0.001) and these results showed no geographic regional (Asia: SMD = -0.65, 95% CI [-0.84, -0.46], Z = 6.75, p <0.001; Non-Asia: SMD = -0.25, 95% CI [-0.43, -0.07], Z = 2.70, p = 0.007) and sex differences (women: SMD = -0.53, 95% CI [-0.70, -0.35], z = 5.98, p <0.001; men: SMD = -0.66, 95% CI [-0.87, -0.44], z = 6.03, p <0.001). Serum UA levels in middle-late stage PD patients with higher H&Y scales were significantly lower than early stage PD patients with lower H&Y scales (SMD = 0.63, 95% CI [0.36,0.89], z = 4.64, p <0.001).

conclusionsOur study showed that the serum UA levels are significantly lower in PD and the level is further decreased as the disease progresses. Thus it might be a potential biomarker to indicate the risk and progression of PD.

Indexed as

HumansParkinson DiseaseUric AcidUric Acid

Identifiers

PMID28319195
PMCPMC5358777
OpenAlexW2600441637

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.