ArticleHeliyon2024
A disproportionality analysis of sunitinib in the FDA adverse event reporting system (FAERS).
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Medical Management of Well-Differentiated Pancreatic Neuroendocrine Tumors: From Conventional Therapies to Emerging Strategies.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to analyze the FAERS database to identify adverse event associated with sunitinib to offer valuable insights for the judicious utilization of medication in clinical settings. Methods: Various disproportionality analysis techniques, such as the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPN), and multi-gamma Poisson shrinkage (MGPS), were employed to analyze adverse drug reaction (ADR) reports pertaining to sunitinib in the FAERS database from its market introduction up to the first quarter of 2023. Subsequently, a secondary screening process was conducted to identify reliable positive signals. Results: The analysis of sunitinib adverse event signals at the system-organ classification level encompassed 27 organ systems, with gastrointestinal and endocrine disorders emerging as the predominant SOCs. A total of 237 significant adverse events meeting all four algorithms were detected. Notably, this study revealed previously unreported adverse events, including pleural effusion and ascites, while potential adrenal toxicity-related adverse events, highlighted in the drug's specification, were not identified in this analysis. The study examined the relationship between the duration of sunitinib dosing and the onset of adverse events, revealing a median onset of 48 days (IQR, 15-160 days). The findings indicated that a majority of adverse events manifested early in the dosing period, with tumor progression, disease progression, and mortality becoming more prevalent after one year of treatment. Conclusion: In the clinical utilization of sunitinib, vigilant monitoring of potential adverse reactions is imperative during the initial phase of drug administration. In addition to the documented adverse reactions outlined in the drug specification, healthcare providers should remain attentive to potential adverse reactions such as pleural effusion, ascites, and tumor development.
Identifiers
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Registered trials
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.