Evidence map›Paper›PMID 40981355›Full record

ArticleJournal of xenobiotics2025

Adverse Event Signals Associated with Beta-Lactamase Inhibitors: Disproportionality Analysis of USFDA Adverse Event Reporting System.

Kannan Sridharan, Gowri Sivaramakrishnan

Abstract read
In one paragraph

Article in Journal of xenobiotics, 2025. 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

2 authors.

Kannan SridharanDepartment of Pharmacology & Therapeutics, College of Medicine & Medical Sciences, Arabian Gulf University, Manama 26671, Bahrain.ORCID 0000-0003-3811-6503
Gowri SivaramakrishnanBahrain Defence Force Royal Medical Services, Riffa 28743, Bahrain.ORCID 0000-0002-5877-205X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeta-lactamase inhibitors (BLIs) are widely used with beta-lactam antibiotics to combat resistant infections, yet their safety profiles, especially for newer agents, remain underexplored. This study aimed to identify potential adverse event (AE) signals associated with BLIs using the USFDA Adverse Event Reporting System (USFDA AERS).

methodsThe USFDA AERS was queried for AE reports involving FDA-approved BLIs from March 2004 to March 2024. After removing duplicates, only reports with BLIs listed as primary suspects were included. Disproportionality analysis was conducted using frequentist and Bayesian approaches, with statistical significance assessed by chi-square testing.

resultsA total of 12,456 unique reports were analyzed. Common AEs across BLIs included hematologic disorders, hypersensitivity reactions, emergent infections, organ dysfunction, and neurological complications. Signal detection revealed specific associations: septic shock and respiratory failure with avibactam; lymphadenopathy and congenital anomalies with clavulanic acid; antimicrobial resistance and epilepsy with relebactam; disseminated intravascular coagulation and cardiac arrest with sulbactam; and agranulocytosis and conduction abnormalities with tazobactam. For vaborbactam, no distinct AE signals were identified apart from off-label use. Mortality was significantly more frequent with avibactam and relebactam (

conclusionsThis analysis highlights a spectrum of AE signals with BLIs, including unexpected associations warranting further investigation. While some events may reflect comorbidities or concomitant therapies, these findings underscore the importance of continued pharmacovigilance and targeted clinical studies to clarify causality and ensure the safe use of BLIs in practice.

Indexed as

avibactamclavulanic acidrelebactamsulbactamtazobactamvaborbactam

Identifiers

PMID40981355
PMCPMC12452519

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Registered trials

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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.