Evidence mapPaperPMID 39650160Full record

ArticleFrontiers in pharmacology2024

Drug-induced hearing disorders: a disproportionality analysis of the FAERS database.

Baojian Li, Xiaoling Hu, Zichen Yue

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Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

3 authors.

Baojian LiDepartment of Pharmacy, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Xiaoling HuDepartment of Pharmacy, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Zichen YueDepartment of Pharmacy, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To evaluate and identify reports of adverse events related to hearing impairment with drugs approved in the past 20 years, to identify new adverse reaction signals related to hearing impairment that have not yet been reported, and to improve the safety of drug treatments. Methods: The adverse event report data from the FAERS database from the first quarter of 2004 to the fourth quarter of 2023 were retrieved. "Hearing disorders" was used as the keyword to screen for drugs related to the adverse event. After standardizing the drug name and the adverse drug event name, the adverse event reports with hearing disorders as the main suspect were collected, and the proportional imbalance algorithm was used to detect the potential adverse event signals to drug-related hearing impairment. Results: The top five drugs with the highest number of reported adverse events to hearing impairment were sacubitril/valsartan (2,674), adalimumab (2,479), etanercept (1,834), tofacitinib (1,812), and apixaban (1,600). Except for adalimumab, the risk of hearing impairment is not mentioned in the instructions. The top five drugs for new signal strength are pancuronium ( Conclusion: Our study covered 20 years of real-world data on reports of adverse events related to hearing impairment in the FAERS database, validating previous reports and studies, as well as identifying drugs that signal new adverse events of hearing impairment, especially some drugs commonly used for the treatment of chronic diseases (a combination of hypoglycemic drugs, antihypertensive drugs, and lipid modulators) and some new drugs in the 5-year post-market period.

Indexed as

adverse eventdisproportionality analysisFAERShearing disorderssignal mining

Identifiers

PMID39650160
PMCPMC11620887

What Socratic holds

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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.