Evidence map›Paper›PMID 39022025›Full record

ArticleHeliyon2024

Safety assessment of dapagliflozin: Real-world adverse event analysis based on the FAERS database from 2012 to 2023.

Zhengxi Zhou, Xiaotian Yao

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. Article
  2. Article
  3. 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

2 authors.

Zhengxi ZhouDepartment of Urology, Ningbo Mingzhou Hospital, Zhejiang, China.
Xiaotian YaoThe Division of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dapagliflozin possesses the capacity to cure a wide range of diseases, however, there are many adverse events (AEs) that have not yet been acknowledged or recorded. Aim: Safety assessment of dapagliflozin based on the Food and Drug Administration Adverse Event Reporting System (FAERS) database, to explore differences between the reported AEs to provide a overview of the safety profile of dapagliflozin. Methods: We extracted data from the United States FAERS database, including from the fourth quarter of 2012 to the third quarter of 2023. Reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayesian geometric average (EBGM) were used to evaluate the relationship between dapagliflozin and its associated AEs. Results: A total of 13,593,946 case reports were gathered from the Food and Drug Administration Adverse Event Reporting System database for this investigation. Among these, there were 44,506 episodes of adverse events that were associated with dapagliflozin. Included in the analysis were 341 preferred words and 2 system organ classes that showed statistical significance according to all four methods simultaneously. The system organ classes encompassed illnesses related to metabolism and nutrition, as well as problems affecting the renal and urinary systems. PT levels were screened for adverse drug reaction signals including scrotal gangrene, scrotal cellulitis, perineal cellulitis, diabetic ketoacidosis, and pancreatitis. Conclusion: The majority of our findings aligned with the specification, however, certain novel indicators of AEs such as acute pancreatitis were not accounted for. The analysis of the AE signals may provide support for clinical monitoring and risk identification of dapagliflozin. Due to the inherent limitations of FAERS data, well-designed studies are required to demonstrate the safety of dapagliflozin.

Indexed as

Adverse eventDapagliflozinFAERSSGLT-2i

Identifiers

PMID39022025
PMCPMC11253505

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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.