Evidence map›Paper›PMID 38030236›Full record

ArticleJournal of atherosclerosis and thrombosis2024

Association of Antipsychotic Drugs with Venous Thromboembolism: Data Mining of Food and Drug Administration Adverse Event Reporting System and Mendelian Randomization Analysis.

Tong Li, Kai Hu, Ling Ye, Junlong Ma, Longjian Huang, Chengjun Guo, Xin Huang, Jie Jiang, Xiaoxue Xie, Chengxian Guo and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  6. Association of Venous Thromboembolism Risk with Atopic Dermatitis and Janus Kinase Inhibitors Treatment: A Mendelian Randomization Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

11 authors at 7 institutions in 2 countries.

Tong LiCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University.
Kai HuDepartment of Neurology, Xiangya Hospital, Central South University.
Ling YeCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University.
Junlong MaCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University.
Longjian HuangYoujiang Medical University for Nationalities.
Chengjun GuoSchool of Applied Mathematics, Guangdong University of Technology.
Xin HuangCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University.
Jie JiangDepartment of Pediatrics, The Affiliated Changsha Central Hospital, University of South China Hengyang Medical School, University of South China.
Xiaoxue XieDepartment of Radiotherapy, Hunan Provincial Tumor Hospital and Affiliated Tumor Hospital of Xiangya Medical School, Central South University.
Chengxian GuoCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University.
Qingnan HeDepartment of Pediatrics, The Third Xiangya Hospital, Central South University.
Third Xiangya Hospital · CNCentral South University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNGuangdong University of Technology · CNHunan Cancer Hospital · CNNational Clinical Research · USUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPast observational studies have reported on the association between antipsychotic drugs and venous thromboembolism (VTE); however, the conclusions remain controversial, and its mechanisms are yet to be fully understood. Thus, in this study, we aim to determine the associations of antipsychotic drugs with VTE, including deep vein thrombosis (DVT) and pulmonary embolism (PE), and their potential mechanisms.

methodsWe first mined the adverse event signals of VTE, DVT, and PE caused by antipsychotic drugs in Food and Drug Administration Adverse Event Reporting System (FAERS). Next, we used two-sample Mendelian randomization (MR) method to investigate the association of antipsychotic drug target gene expression with VTE, DVT, and PE, using single-nucleotide polymorphisms as genetic instruments. We not only used the expression of all antipsychotic drug target genes as exposure to perform MR analyses but also analyzed the effect of single target gene expression on the outcomes.

resultsIn the FAERS, 1694 cases of VTE events were reported by 16 drugs. However, using the MR approach, no significant association was determined between the expression of all antipsychotic target genes and VTE, DVT, or PE, either in blood or brain tissue. Although the analysis of single gene expression data showed that the expression of nine genes was associated with VTE events, these targets lacked significant pharmacological action.

conclusionsAdverse event mining results have supported the claim that antipsychotic drugs can increase the risk of VTE. However, we failed to find any genetic evidence for this causal association and potential mechanisms. Thus, vigilance is still needed for antipsychotic drug-related VTE despite the limited supporting evidence.

Indexed as

Antipsychotic AgentsPulmonary EmbolismVenous ThromboembolismData MiningHumansMendelian Randomization AnalysisUnited StatesUnited States Food and Drug AdministrationAntipsychotic AgentsAntipsychotic drugsFDA Adverse Event Reporting SystemMendelian randomizationPulmonary embolismVenous thromboembolism

Identifiers

PMID38030236
PMCPMC10999720
OpenAlexW4389119911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.