Evidence map›Paper›PMID 36998320›Full record

ArticleFrontiers in aging neuroscience2023

Bidirectional Mendelian randomization study of psychiatric disorders and Parkinson's disease.

Qi Wu, Shulin Liu, Xiurong Huang, Jiabin Liu, Yige Wang, Yaqing Xiang, Xuxiong Tang, Qian Xu, Xinxiang Yan, Beisha Tang and 1 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in aging neuroscience, 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
6.6field-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

8 citing papers in PubMed, 21 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

11 authors at 2 institutions in 1 country.

Qi WuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shulin LiuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiurong HuangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jiabin LiuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yige WangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yaqing XiangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xuxiong TangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qian XuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xinxiang YanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Beisha TangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jifeng GuoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although the relationship between psychiatric disorders and Parkinson's disease (PD) has attracted continuous research attention, the causal linkage between them has not reached a definite conclusion. Methods: To identify the causal relationship between psychiatric disorders and PD, we used public summary-level data from the most recent and largest genome-wide association studies (GWASs) on psychiatric disorders and PD to conduct a bidirectional two-sample Mendelian randomization (MR). We applied stringent control steps in instrumental variable selection using the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) method to rule out pleiotropy. The inverse-variance weighted (IVW) method was used to identify the causal relationship between psychiatric disorders and PD. Multiple MR analysis methods, including MR-Egger, weighted-median, and leave-one-out analyses, were used for sensitivity analysis, followed by heterogeneity tests. Further validation and reverse MR analyses were conducted to strengthen the results of the forward MR analysis. Results: The lack of sufficient estimation results could suggest a causal relationship between psychiatric disorders and PD in the forward MR analysis. However, the subsequent reverse MR analysis detected a causal relationship between PD and bipolar disorder (IVW: odds ratios [OR] =1.053, 95% confidence interval [CI] =1.02-1.09, Discussion: Our study suggested that while psychiatric disorders and traits might play various roles in the risk of developing PD, PD might also be involved in the risk of developing psychiatric disorders.

Indexed as

causal relationshipgenome-wide association studiesMendelian randomizationParkinson’s diseasepsychiatric disorders

Identifiers

PMID36998320
PMCPMC10045982
OpenAlexW4324145784

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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 OpenQuestion graph.