Evidence map›Paper›PMID 39309793›Full record

ArticleHeliyon2024

Risk analysis of enfortumab vedotin: A real-world approach based on the FAERS database.

Fuchun Zheng, Yuanzhuo Du, Yuyang Yuan, Zhipeng Wang, Sheng Li, Situ Xiong, Jin Zeng, Yifan Tan, Xiaoqiang Liu, Songhui Xu and 2 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

12 authors.

Fuchun ZhengDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Yuanzhuo DuDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Yuyang YuanDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Zhipeng WangDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Sheng LiDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Situ XiongDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Jin ZengDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Yifan TanDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Xiaoqiang LiuDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Songhui XuDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Bin FuDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Wei LiuDepartment of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To analyze the risk of enfortumab vedotin (EV), a targeted therapy for advanced bladder cancer, using real-world data from the U.S. Food and Drug Administration's Federal Adverse Event Reporting System (FAERS). Methods: A retrospective pharmacovigilance analysis was conducted using FAERS data from Q1 2020 to Q1 2024. Adverse drug events (ADEs) related to EV were identified and categorized according to the System Organ Classes (SOCs) and specific events. Statistical methods, such as the proportional reporting ratio, reporting odds ratio (ROR), Bayesian confidence propagation neural network, and empirical Bayesian geometric mean were used to detect safety signals. Results: Of the 7,449,181 FAERS case reports, 1,617 EV-related ADEs were identified, including 101 preferred terms and 22 SOCs. The key SOCs included skin and subcutaneous tissue, metabolic, and nutritional disorders. Rare ADEs, such as lichenoid keratosis (n = 4; ROR 26.89), small intestinal perforation (n = 3; ROR 24.51), pigmentation disorder (n = 9; ROR 18.16), and cholangitis (n = 8; ROR 17.48), showed significant disproportionality. Conclusion: While most findings aligned with the existing data, new signs such as lichenoid keratosis and small intestinal perforation were identified. Further studies are necessary to validate these findings and emphasize the need for the clinical monitoring of EV-related ADEs.

Indexed as

Adverse eventsEnfortumab vedotinFAERSPharmacovigilanceReal-world data analysis

Identifiers

PMID39309793
PMCPMC11415710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.