Evidence map›Paper›PMID 39003359›Full record

ArticleScientific reports2024

Cardiac adverse events associated with lacosamide: a disproportionality analysis of the FAERS database.

Chengcheng Yang, Wanqi Zhao, Huihui Chen, Yinhui Yao, Jingmin Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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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

5 authors.

Chengcheng YangDepartment of Pharmacy, The First People's Hospital of Shangqiu, Shangqiu, 476000, China. ycc424@163.com.
Wanqi ZhaoThe University of Manchester, Manchester, M13 9PL, England.
Huihui ChenDepartment of Pharmacy, The First People's Hospital of Shangqiu, Shangqiu, 476000, China.
Yinhui YaoDepartment of Pharmacy, Chengde Medical University Affiliated Hospital, Chengde, 067000, China.
Jingmin ZhangDepartment of Pharmacy, Henan Key Laboratory for Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. fcczhangjm@zzu.edu.cn.

Funding

Key Scientific and Technology Project of Henan Province 222102310358
6 · The paper itself

Abstract

Lacosamide was the first approved third-generation antiepileptic drug. However, real-world data regarding its adverse cardiac reactions in large samples still need to be completed. We evaluated the cardiac safety profile of lacosamide using the Food and Drug Administration Adverse Event Reporting System (FAERS). We performed disproportionality analysis computing reporting odds ratio (ROR) as a quantitative metric to assess the signal of lacosamide-related cardiac adverse events (AEs) from 2013 Q1 to 2022 Q4. The signal was considered significant when the lower limit of the 95% confidence interval (CI) of the ROR exceeded 1, and ≥ 5 AEs were reported. Serious and nonserious cases were compared by statistical analysis, and signals were further prioritized using a rating scale. A total of 812 cardiac AEs associated with lacosamide were identified, and 92 signals were detected, of which 17 AEs were significantly associated signals. The median time-to-onset (TTO) for moderate priority signals was 10 days, whereas for weak priority signals, it was 54 days. Notably, all cardiac AEs exhibited an early failing pattern, indicating the risk gradually decreasing. Based on the comprehensive analysis of the FAERS database and prioritization of cardiac AE signals, our research enhances the awareness among healthcare professionals regarding cardiac AEs associated with lacosamide.

Indexed as

Adverse Drug Reaction Reporting SystemsAnticonvulsantsDatabases, FactualLacosamideAdolescentAdultAgedCardiotoxicityFemaleHumansMaleMiddle AgedUnited StatesUnited States Food and Drug AdministrationYoung AdultAnticonvulsantsLacosamideCardiac adverse eventsDisproportionality analysesFAERS databaseLacosamideReporting odds ratio

Identifiers

PMID39003359
PMCPMC11246456

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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 OpenQuestion graph.