Evidence mapPaperPMID 41044440Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Real-world safety profile of bisoprolol: signal detection and demographic stratification using the FAERS database.

Kun Lai, Lan Luo, Tengyao Kang, Fuzhao Zhang, Xinrong Chen

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kun LaiAffiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Lan LuoAffiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Tengyao KangAffiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Fuzhao ZhangAffiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Xinrong ChenAffiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China. luol24902@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bisoprolol, a selective β₁-blocker, is widely prescribed for cardiovascular disease. Real-world pharmacovigilance can clarify adverse drug reactions (ADRs) across demographic strata and identify signals not fully characterized in trials. We analyzed bisoprolol-associated reports in the FDA Adverse Event Reporting System. Disproportionality was assessed using complementary algorithms-reporting odds ratio (ROR), proportional reporting ratio (PRR), information component (IC with IC025), and empirical Bayes geometric mean (EBGM with EBGM05). To stabilize sparse strata, we required a ≥ 3 and multi-algorithm concordance (EBGM05 > 2, IC025 > 0, lower95_ROR > 1). Multiple testing was controlled using Benjamini-Hochberg FDR and Bonferroni adjustments. Signals were summarized overall and stratified by sex and age (< 40, 40-80, ≥ 80 years). Class-expected cardiovascular ADRs showed robust signals, including bradycardia, sinus bradycardia, bradyarrhythmia, atrioventricular block, hypotension, syncope/presyncope (all meeting stability and multiplicity criteria). Several hypothesis-generating signals with strong effect sizes were detected: cardiospasm (ROR≈285; EBGM05≈178), palmoplantar keratoderma (ROR≈217; EBGM05≈137), and hyperkalemia (ROR≈16.7; EBGM05≈13). Sex- and age-stratified analyses revealed clinically relevant patterns: in younger patients (< 40), bradyarrhythmia-type signals were most pronounced; in middle-aged adults (40-80), cardiospasm and palmoplantar keratoderma ranked among the top signals; in older adults (≥ 80), conduction-slowing events remained prominent. Overall reporting skewed female (≈55%) and older age. A qualitative EudraVigilance cross-check identified parallel case clusters for cardiospasm and palmoplantar keratoderma, corroborating cross-jurisdictional presence. FAERS data reaffirm bisoprolol's known bradycardic and hypotensive risks and highlight novel, biologically plausible signals-particularly cardiospasm and palmoplantar keratoderma-that vary by demographic subgroup. These findings support targeted clinical vigilance (heart-rate/conduction, electrolytes, dysphagia/chest pain, palmoplantar skin changes) and motivate confirmatory studies (prospective cohorts, nested case-controls). While robust to multiplicity control, signals remain hypothesis-generating given spontaneous-reporting biases; cautious interpretation and validation are warranted.

Indexed as

Adrenergic beta-1 Receptor AntagonistsAdverse Drug Reaction Reporting SystemsBisoprololAdultAgedAged, 80 and overAge FactorsAlgorithmsBayes TheoremDatabases, FactualFemaleHumansMaleMiddle AgedPharmacovigilanceUnited StatesAdrenergic beta-1 Receptor AntagonistsBisoprololAdverse drug reactionsBisoprololFAERSPharmacovigilance

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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 Socratic graph.