Evidence map›Paper›PMID 39603650›Full record

ArticleEndocrine journal2025

A real-world disproportionality analysis of tirzepatide-related adverse events based on the FDA Adverse Event Reporting System (FAERS) database.

Jie Li, Jun Xie, Yi Han, Wei Zhang, Yilei Wang, Zhitao Jiang

Abstract read
In one paragraph

Article in Endocrine journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

6 authors.

Jie LiDepartment of Pharmacy, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu 215600, China.
Jun XieDepartment of Pharmacy, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu 215600, China.
Yi HanDepartment of Pharmacy, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu 215600, China.
Wei ZhangDepartment of Pharmacy, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu 215600, China.
Yilei WangDepartment of Pharmacy, Taicang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu 215400, China.
Zhitao JiangDepartment of Pharmacy, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu 215600, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tirzepatide is a novel drug for the treatment of type 2 diabetes mellitus and chronic weight management, and there is an urgent need to explore its safety profile. The FDA Adverse Event Reporting System (FAERS) database provides a reliable pathway for adverse event (AE) disproportionality analysis. Data regarding AEs registered in the FAERS between Q2 2022 and Q4 2023 were collected for this study. The reporting odds ratio (ROR) method was applied to analyse the association between tirzepatide use and the risk of developing AEs. The occurrence of ≥3 AEs with an ROR value 95% confidence interval (CI) lower limit >1 was considered to indicate statistical significance. Data on 638,153 AEs were collected from the FAERS database, and tirzepatide use was implicated for 8,096 of those AEs. A total of 98 preferred terms (PTs) were detected as positive signals for tirzepatide use. Frequently observed expected AEs included injection site pain, nausea, injection site haemorrhage, diarrhoea, and vomiting. Some unexpected AEs that were frequently observed included incorrect doses, off-label use, the administration of extra doses, an inappropriate schedule of product administration, and increased blood glucose. In this study, we identified potential novel and unexpected AE signals associated with tirzepatide use. Our findings confirm the importance of real-world disproportionality analysis in identifying the safety profile of new drugs, ultimately contributing to the safe clinical application of tirzepatide.

Indexed as

Adverse Drug Reaction Reporting SystemsDiabetes Mellitus, Type 2Drug-Related Side Effects and Adverse ReactionsHypoglycemic AgentsAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedTirzepatideUnited StatesUnited States Food and Drug AdministrationHypoglycemic AgentsTirzepatideAdverse drug eventDisproportionality analysisFDA Adverse Event Reporting System (FAERS)GIP/GLP-1 RATirzepatide

Identifiers

PMID39603650
PMCPMC11913559

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.