Evidence map›Paper›PMID 39889151›Full record

ArticleMedicine2025

Adverse events of Capmatinib: A real-world drug safety surveillance study based on the FDA adverse event reporting system (FAERS) database.

Hao Zhang, Panli Zhao, Hua Huang

Abstract read
In one paragraph

Article in Medicine, 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors.

Hao ZhangDepartment of Pharmacy, Chengdu Seventh People's Hospital (Affiliated Tumor Hospital of Chengdu Medical College), Chengdu, Sichuan, China.ORCID 0009-0007-3391-6217
Panli Zhao
Hua Huang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aims to evaluate the adverse events associated with Capmatinib using real-world data, providing a reference basis for its rational use in clinical practice. Relevant data from the Food and Drug Administration adverse event reporting system database was mined. Next, reporting odds ratio and Bayesian confidence propagation neural network method were used to analyze real-world adverse events associated with Capmatinib. The study revealed significant adverse event signals of Capmatinib, primarily involving general disorders and administration site conditions, cardiac disorders, gastrointestinal disorders, respiratory, thoracic and mediastinal disorders, neoplasms benign, malignant and unspecified (including cysts and polyps) and investigations, among others. A total of 79 signals were identified, with 13 of them not mentioned in the drug's specifications. Taken together, our comprehensive analysis of the Food and Drug Administration adverse event reporting system database enhances the understanding of Capmatinib's safety profile, thereby contributing to informed decision-making in its clinical application and facilitating the timely management of associated adverse reactions.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsAdultBayes TheoremDatabases, FactualFemaleHumansMaleMiddle AgedPharmacovigilanceUnited StatesUnited States Food and Drug Administration

Identifiers

PMID39889151
PMCPMC11789861

What OpenQuestion holds

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LicenceCC BY
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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.