Evidence map›Paper›PMID 39830347›Full record

ArticleFrontiers in pharmacology2024

Drug-induced Parkinson-like events: a real-world study from 2004 to the first quarter of 2024 based on FAERS.

Ke Wang, Junyan Chen, Mingquan Huang, Xinhao Zeng, Xiaoqun Ren, Xiuqiong Liu, Chao Tao, Liuxuan Yang, Jinlu Shang, Meiling Zhou

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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. 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

10 authors.

Ke Wang *Department of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Junyan Chen *Department of Cardiothoracic Surgery, Luzhou People's Hospital, Luzhou, China.
Mingquan HuangSichuan Treatment Center for Gynaecologic and Breast Diseases (Breast Surgery), The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xinhao ZengDepartment of Pediatric Surgery, The Affiliated Hospital of Southwest Medical University, Sichuan Clinical Research Center for Birth Defects, Luzhou, China.
Xiaoqun RenDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Xiuqiong LiuDepartment of Pharmacy, West China Hospital Sichuan University Jintang Hospital, Chengdu, China.
Chao TaoDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Liuxuan YangDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Jinlu ShangDepartment of Pharmacy, West China Hospital Sichuan University Jintang Hospital, Chengdu, China.
Meiling ZhouDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Timely identification of drug-induced Parkinson-like events is essential to improve clinical management and enhance patients' quality of life. However, there is a significant lack of studies addressing these events in real-world settings. Methods: To bridge this gap, we analyzed adverse event (AE) reports related to Parkinson-like events from the FDA Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the first quarter of 2024. Our objective was to summarize a list of potential drugs at high risk for Parkinson-like events and their corresponding proportions of AE reports. Results: As a result, a total of 54,639 AE reports linked to Parkinson-like events involving 1,224 drugs were identified. Among these, carbidopa/levodopa exhibited the highest number of reports, followed by baclofen and pimavanserin. The most frequently reported drug class was antiparkinsonian drugs and psycholeptics, followed by psychoanaleptics. Using two disproportionate analysis methods, the reporting odds ratio and proportional reporting ratio, we found that 136 drugs exhibited positive results in both methods, while 1,063 drugs did not show any positive signals. Conclusion: This study provides a comprehensive pharmacovigilance analysis of drugs associated with Parkinson-like events, aiming to promote rational drug use and inform clinical practice.

Indexed as

adverse eventantiparkinsonian agentsdrug safetyFAERSParkinson-like eventspharmacovigilance

Identifiers

PMID39830347
PMCPMC11739097

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.