Evidence map›Paper›PMID 37654024›Full record

ArticleBrain and behavior2023

Association between 23 drugs and Parkinson's disease: A two-sample Mendelian randomization study.

Zhixin Xie, Haobin Zhou, Ziyu Qiu, Zhongxi Fan, Weisheng Yang, Jingbai Zhang, Yezhong Wang, Yongyi Ye

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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 4 institutions in 1 country.

Zhixin XieDepartment of Clinical Medicine, The Second Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Haobin ZhouDepartment of Clinical Medicine, The First Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Ziyu QiuDepartment of Clinical Medicine, The Third Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhongxi FanDepartment of Clinical Medicine, The Third Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Weisheng YangDepartment of Nursing, The Nursing College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Jingbai ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yezhong WangDepartment of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yongyi YeDepartment of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID 0009-0004-9140-463X
Second Affiliated Hospital of Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a common degenerative nervous system disease. At present, there are certain limitations in various treatment options aimed at preventing or delaying the progression of PD. Therefore, the exploration of new drugs for PD is beneficial. Mendelian randomization (MR) analysis can be used to explore the association between drugs and diseases. In this study, MR analysis was adopted to investigate the causal relationship between 23 drugs and PD. These drugs have been approved for the treatment of different diseases, such as salicylic acid and derivatives (collectively called salicylates, e.g., aspirin, used for fever and pain relief), antithrombotic agents (e.g., warfarin, aspirin, used for preventing thrombotic events).

methodsThe GWAS data for the 23 drugs were obtained from the UK Biobank (UKB) project, while the GWAS data for PD were sourced from FinnGen. Single-Nucleotide Polymorphisms (SNPs) were selected as instrumental variables (IVs). We first performed a series of quality control steps (including MR-PRESSO) to select the appropriate SNPs. Two-sample MR analysis was performed using five different methods, including inverse variance weighting (IVW) with random-effects model, weighted median, MR-Egger, simple model, and weighted model. At the same time, sensitivity analysis was carried out using the MR-Egger and Cochran's Q test to ensure the authenticity and reliability of the results.

resultsIn MR-PRESSO, salicylates and antithrombotic agents showed statistically significant associations with PD, respectively. In the main MR analysis (IVW), there was a negative causal relationship between salicylates and PD (OR = 0.73, 95% CI = 0.54-0.98, p = .039). Similarly, there was a negative causal relationship between antithrombotic agents and PD (OR = 0.70, 95%CI = 0.52-0.96, p = .027). No statistically significant association was found between the remaining 21 drugs and PD.

conclusionThis MR study demonstrated that salicylates and antithrombotic agents can reduce the risk of PD, thus providing a novel avenue for future drug exploration in PD.

Indexed as

Parkinson DiseaseAspirinFibrinolytic AgentsGenome-Wide Association StudyHumansMendelian Randomization AnalysisReproducibility of ResultsSalicylic AcidAspirinFibrinolytic AgentsSalicylic AciddrugParkinson's diseasetwo-sample Mendelian randomization

Identifiers

PMID37654024
PMCPMC10636399
OpenAlexW4386346808

What Socratic holds

Textmetadata
LicenceCC BY
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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.