Evidence map›Paper›PMID 39543745›Full record

ArticleBMC pharmacology & toxicology2024

Real-world research on beta-blocker usage trends in China and safety exploration based on the FDA Adverse Event Reporting System (FAERS).

Yilong Yan, Wenshuo An, Shenghui Mei, Qiang Zhu, Cao Li, Li Yang, Zhigang Zhao, Jiping Huo

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Yilong Yan *Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China.
Wenshuo An *Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China.
Shenghui MeiDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China.
Qiang ZhuDepartment of General Surgery, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China.
Cao LiDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China.
Li YangDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China. 0530yangli@163.com.
Zhigang ZhaoDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China. 1022zzg@sina.com.
Jiping HuoDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, P. R. China. gaoshan-523@163.com.

Funding

the National Key Research and Development Program of China, "Establishment of an Intelligent Decision-Making System for Individualized Medication in the Elderly Based on Hepatic Drug Enzyme Genes and Drug Metabolism Models" 2020YFC2008305
6 · The paper itself

Abstract

backgroundBeta-blockers are widely used, with continuously updated clinical recommendations. However, their application faces challenges in personalized treatment and safety. The study aimed to investigate the frequency and patterns of prescribing beta-blockers in China and to explore potential adverse event risk signals associated with beta-blockers, providing reference for rational medication use in clinical settings.

methodsPrescription data for beta-blockers from January 2018 to June 2023 were extracted through the Hospital Prescription Analysis Collaborative Project in China to analyze clinical usage trends. While adverse drug reaction reports for beta-blockers were obtained from the FDA Adverse Event Reporting System (FAERS) database. The classification and standardization of adverse drug event (ADE) reports were based on the preferred terms (PT) and corresponding system organ classes (SOC) from the Medical Dictionary for Regulatory Activities (MedDRA). Signal detection utilized a proportion imbalance method.

resultsIn clinical practice, metoprolol dominated beta-blocker prescriptions in China, accounting for 62.2%. Beta-blockers were primarily prescribed to the elderly (65.7%) and male patients (57.0%). However, off-label use of beta-blockers was relatively widespread. For instance, sotalol was prescribed for hypertension at 18.25%, while esmolol was used for angina and heart failure at rates of 12.94% and 14.98%, respectively. In addition, we identified newly discovered adverse reactions associated with beta-blockers, such as BRASH syndrome (metoprolol: n = 186, ROR = 391.285; carvedilol: n = 72, ROR = 256.459), acute kidney injury (bisoprolol: n = 247, ROR = 5.641), premature baby (labetalol: n = 110, ROR = 91.385), and sleep disorder (propranolol: n = 254, ROR = 10.98).

conclusionsMetoprolol led the beta-blocker market in China. Attention was warranted regarding the newly discovered adverse reactions, such as the risk of acute kidney injury with bisoprolol and the potential for BRASH syndrome with metoprolol and carvedilol.

Indexed as

Adrenergic beta-AntagonistsAdverse Drug Reaction Reporting SystemsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaDrug-Related Side Effects and Adverse ReactionsFemaleHumansInfantInfant, NewbornMaleMetoprololAdrenergic beta-AntagonistsMetoprololAdverse drug eventBeta-blockersMetoprololReal-world researchSafety

Identifiers

PMID39543745
PMCPMC11566443

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.