Evidence map›Paper›PMID 39888490›Full record

ArticleInternational journal of clinical pharmacy2025

Pharmacovigilance analysis of drug-induced hypofibrinogenemia using the FDA Adverse Event Reporting System.

Xiao Wen, Le Cai, Ao Gao, An Fu, Daihong Guo, Man Zhu

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Eravacycline: From broad-spectrum coverage to novel clinical applications.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  4. Article
  5. Article
  6. 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

6 authors.

Xiao Wen *Department of Pharmacy, Medical Supplies Center of Chinese, PLA General Hospital, 28 Fu Xing Road, Beijing, 100853, China.
Le Cai *Department of Pharmacy, Medical Supplies Center of Chinese, PLA General Hospital, 28 Fu Xing Road, Beijing, 100853, China.
Ao GaoDepartment of Pharmacy, Medical Supplies Center of Chinese, PLA General Hospital, 28 Fu Xing Road, Beijing, 100853, China.
An FuDepartment of Pharmacy, Medical Supplies Center of Chinese, PLA General Hospital, 28 Fu Xing Road, Beijing, 100853, China.
Daihong GuoDepartment of Pharmacy, Medical Supplies Center of Chinese, PLA General Hospital, 28 Fu Xing Road, Beijing, 100853, China.
Man ZhuDepartment of Pharmacy, Medical Supplies Center of Chinese, PLA General Hospital, 28 Fu Xing Road, Beijing, 100853, China. zhucindy301@189.cn.ORCID http://orcid.org/0000-0003-0627-2800

Funding

Capital Funds for Health Improvement and Research 2024-2-5012The Special research project on monitoring and evaluation of the use of key clinical drugs by the Committee for Drug evaluation of Chinese Research Hospital Association Y2023FH-YWPJ03-101
6 · The paper itself

Abstract

backgroundDrug-induced hypofibrinogenemia has received increasing scrutiny; however, the specific drugs involved remain poorly characterized. Hypofibrinogenemia can have significant clinical implications, including increased bleeding risks.

aimThis study aimed to utilize the FDA Adverse Event Reporting System (FAERS) to identify and analyze drugs frequently implicated in drug-induced hypofibrinogenemia.

methodA disproportionality analysis was conducted using FAERS data from January 2004 to March 2024. Various statistical tools were used, including the Reporting Odds Ratio (ROR), Proportional Reporting Ratio, Medicines and Healthcare Products Regulatory Agency metrics, and Bayesian confidence propagation neural network.

resultsThe analysis included 17,627,340 cases involving 52,373,206 adverse events, with 1,661 cases identified as hypofibrinogenemia. The top five drugs associated with hypofibrinogenemia by case number were methotrexate (124 cases), tigecycline (119 cases), tocilizumab (100 cases), pegaspargase (83 cases), and alteplase (57 cases). The drugs ranked by signal strength based on ROR included eravacycline (ROR 2173.84, 95% CI 1208.80-3909.30), tigecycline (ROR 747.34, 95% CI 619.03-902.24), crotalidae polyvalent immune Fab (ROR 407.67, 95% CI 291.07-570.99), pegaspargase (ROR 216.06, 95% CI 173.15-269.61), and asparaginase (ROR 184.93, 95% CI 132.18-258.72).

conclusionThis analysis of FAERS data identified 52 drugs associated with hypofibrinogenemia, most (88.5%) of which do not mention this risk in their prescribing information. These findings demonstrate the need for the monitoring of blood fibrinogen and may serve as a reference for the explore of the characteristics and underlying mechanism of drug-induced hypofibrinogenemia in the real world.

Indexed as

Adverse Drug Reaction Reporting SystemsAfibrinogenemiaDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceUnited States Food and Drug AdministrationAdultFemaleHumansMaleMiddle AgedUnited StatesAdverse drug eventDisproportionalityFAERS databaseHypofibrinogenemiaSignal mining

Identifiers

What OpenQuestion holds

Textmetadata
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.