Evidence map›Paper›PMID 32430016›Full record

SynthesisLipids in health and disease2020

A systematic review and meta-analysis of serum cholesterol and triglyceride levels in patients with Parkinson's disease.

Xiaoxue Fu, Yu Wang, Xiaofeng He, Hongyu Li, Hong Liu, Xiangyang Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 6% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. When bad turns good: a systematic review on cholesterol and LDL in longitudinal patient cohorts with Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Xiaoxue FuHeping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi Province, China.
Yu WangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Xiaofeng HeDepartment of Science and Education, Heping Hospital Affiliated to Changzhi Medical College, Changzhi city, Shanxi, P.R. China.
Hongyu LiHeping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi Province, China.
Hong LiuHeping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi Province, China. yujian80@163.com.
Xiangyang ZhangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. zhangxy9@gmail.com.
Changzhi Medical College · CNInstitute of Psychology, Chinese Academy of Sciences · CNTianjin Medical University General Hospital · CN

Funding

Natural Science Foundation of Tianjin City 17JCYBJC28100
6 · The paper itself

Abstract

objectivesNumerous studies have reported that lipid metabolic abnormalities may play an important role in the development of Parkinson's disease (PD), with mixed results. This meta-analysis aims to systematically assess the relationship between serum cholesterol or triglyceride and the PD risk and to further determine the role of dyslipidemia in potential predictive value.

methodsThis research systematically consulted and screened observational studies to evaluate the association of serum lipids with the risk of PD as of April 01, 2020 based on the inclusion and exclusion criteria. Two researchers screened and extracted the data independently. Then this article summarized the characteristics of all clinical studies and collected the corresponding data to perform pooled and sensitivity analyses. The meta-analysis was performed by using the RevMan 5.3 software after data extraction, quality assessment and analysis of publication bias.

resultsTwenty-one related studies (13 case-control and 8 cohort studies) were selected with a total of 980,180 subjects, including 11,188 PD patients. Meta-analysis showed that higher levels of serum triglyceride (S-TG) [standard mean different (SMD) = - 0.26 (95% confidence interval (CI): - 0.39 to - 0.13, p<0.00001), relative risk (RR) = 0.67 (95% CI: 0.60 to 0.75, p<0.00001)] could be considered as protective factors for the pathogenesis of PD. However, there was no significant association between serum high density lipoprotein cholesterol (S-HDL) and the risk of PD. Meanwhile, serum low density lipoprotein cholesterol (S-LDL) [SMD = -0.26 (95% CI: - 0.43 to - 0.07, p = 0.006), RR = 0.76 (95% CI: 0.59 to 0.97, p = 0.03)] and serum total cholesterol (S-TC) levels [SMD = -0.21 (95% CI: - 0.33 to - 0.10, p = 0.0002), RR = 0.86 (95% CI: 0.77 to 0.97, p = 0.01)] were negatively associated with PD risk.

conclusionsThis systematic review suggests that elevated serum levels of TG, LDL and TC may be protective factors for the pathogenesis of PD. Further longitudinal and well-designed prospective studies with a large sample size are needed to confirm the findings in this meta-analysis.

Indexed as

AdolescentAdultAgedAged, 80 and overCholesterolCholesterol, LDLDyslipidemiasHumansMiddle AgedParkinson DiseaseTriglyceridesYoung AdultCholesterolCholesterol, LDLTriglyceridesLow density lipoprotein cholesterolMeta-analysisParkinson’s diseaseSystematic reviewTotal cholesterolTriglyceride

Identifiers

PMID32430016
PMCPMC7236933
OpenAlexW3028077113

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.