Evidence map›Paper›PMID 38699559›Full record

ArticleFrontiers in aging neuroscience2024

Causal relationship between circulating insulin-like growth factor-1 and Parkinson's disease: a two-sample Mendelian randomization study.

Jiahao Xu, Peidong Fan, Jiacheng Yang, Mingjuan Yin, Jun Wu, Chao Chen, Jindong Ni

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Jiahao XuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Peidong FanDepartment of Neurology, Second Hospital Affiliated of Xinjiang Medical University, Xinjiang, China.
Jiacheng YangDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Mingjuan YinDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Jun WuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Chao ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Jindong NiMaternal and Child Research Institute, Shunde Women and Children's Hospital, Guangdong Medical University, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Linear associations between circulating insulin-like growth factor-1 (IGF-1) levels and Parkinson's disease (PD) have been evidenced in observational studies. Yet, the causal relationship between IGF-1 levels and PD remains obscure. We conducted Mendelian randomization to examine the correlation between genetically predicted IGF-1 levels and PD. Methods: By reviewing genome-wide association studies (GWAS) that are publicly accessible, we uncovered SNPs linked to both serum concentrations of IGF-1 and PD. A two-sample Mendelian randomization (MR) analysis was carried out to evaluate the individual effect of IGF-1 on PD. Results: In a primary causal effects model in MR analysis, employing the inverse-variance weighted (IVW) method, IGF-1 levels exhibited a notable association with the risk of PD (OR, 1.020, 95% CI, 1.003-1.038, Conclusion: This study unearthed evidence indicating that heightened IGF-1 levels might be causally correlated with an increased risk of PD.

Indexed as

causalitycirculating insulin-like growth factor-1geneticsMendelian randomizationParkinson’s disease

Identifiers

PMID38699559
PMCPMC11064709

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.