Evidence map›Paper›PMID 39925849›Full record

ArticleFrontiers in pharmacology2025

Data mining and safety analysis of voriconazole in patients with a hematological malignant tumor based on the FAERS database: differences between children and adults.

Hao Li, Manxue Jiang, Xiaona Pan, Lingti Kong

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Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hao LiDepartment of Pharmacy, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Manxue JiangDepartment of Pharmacy, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Xiaona PanSchool of Fundamental Sciences, Bengbu Medical University, Bengbu, China.
Lingti KongDepartment of Pharmacy, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Voriconazole is a broad-spectrum antifungal agent. It is used widely for the prevention and treatment of invasive fungal infections in patients with a hematological malignancy, but studies on its safety in this population are scarce. We assessed the adverse drug events (ADEs) of voriconazole in this population based on the US Food and Drug Administration Adverse Event Reporting System (FAERS) database to improve understanding of the safety of voriconazole. Research design and methods: ADE reports for patients with a hematological malignant tumor using voriconazole between the first quarter of 2004 to the first quarter of 2024 were retrieved. Then, they were classified using the preferred terminology (PT) and system organ category (SOC) in the Medical Dictionary for Regulatory Activities. Data mining was done using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS). Results: A total of 605 ADEs were included: 116 (19.17%) in children and 489 (80.83%) in adults. The types of SOC involved in children and adults were 22 and 24, respectively. The only positive SOC signal that satisfied all four algorithms simultaneously in children was "psychiatric disorders", whereas in adults they were "endocrine disorders" and "hepatobiliary disorders". At the PT level, the types involved in children and adults were 28 and 74, respectively. The highest ROR signal intensities were found for "hallucinations, mixed" in children and "toxic optic neuropathy" in adults. The median time of onset of the ADE in children and adults was 11 and 8.5 days, respectively. Conclusion: We used four algorithms (ROR, PRR, BCPNN, MGPS) to mine the signals of voriconazole in patients with a hematological malignant tumor, and compared the differences between children and adults. This study is important for targeting the monitoring, and could help to improve the safety of voriconazole.

Indexed as

adultschildrendata miningFAERShematological malignant tumorvoriconazole

Identifiers

PMID39925849
PMCPMC11802493

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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.