Evidence map›Paper›PMID 38871835›Full record

ArticleScientific reports2024

Analysis of post-market adverse events of tafamidis base on the FDA adverse event reporting system.

Fan Wu, He Zhu, Yue Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Review
  2. Article
  3. Article
  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.

Fan WuDepartment of Pharmacy, Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Kunming, China. wufan@kmmu.edu.cn.
He ZhuDepartment of Pharmacy, Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Kunming, China.
Yue ZhangPharmacy Department, Yan'an Hospital of Kunming City, Kunming, China.

Funding

Scientific Research Fund Project of Yunnan Provincial Education Department 2024J0263Yunnan Provincial Cardiovascular Disease Clinical Medical Center Project No. FZX2019-06-01
6 · The paper itself

Abstract

Tafamidis is the world's first and only oral drug approved to treat the rare disease transthyretin amyloid cardiomyopathy (ATTR-CM). Medicines are known to have different adverse reactions during the course of treatment. However, the current limited clinical studies did not identify significant adverse drug reactions to tafamidis. Tafamidis has been on the market for 5 years now, a large number of adverse drug event (ADE) reports with tafamidis as the primary suspected drug have been reported in the United Food and Drug Administration's adverse event reporting system (FAERS). We retrieved 8170 adverse event reports in FAERS with tafamidis as the first suspected drug, and mined these reports for positive signals to perform risk warnings for potentially possible adverse events with tafamidis. We found that a large number of adverse events associated with the primary disease were reported due to insufficient awareness of ATTR among the reporters, leading to a large number of positive signals reported in the cardiac disorders system. We also found that tafamidis has the potential to cause an adverse event risks of ear and labyrinth disorders system and urinary tract infection bacterial, which deserve continued clinical attention.

Indexed as

Adverse Drug Reaction Reporting SystemsBenzoxazolesUnited States Food and Drug AdministrationAmyloid Neuropathies, FamilialDrug-Related Side Effects and Adverse ReactionsHumansMaleProduct Surveillance, PostmarketingUnited StatesBenzoxazolestafamidisAdverse eventAmyloid cardiomyopathyPharmacovigilanceReal-world data-miningTafamidis

Identifiers

PMID38871835
PMCPMC11176370

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.