Evidence map›Paper›PMID 37770847›Full record

ArticleBMC pediatrics2023

Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system.

Yan Liu, Hailong Li, Liang Huang, Chaomin Wan, Huiqing Wang, Xuefeng Jiao, Linan Zeng, Zhijun Jia, Guo Cheng, Lei Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2023. 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
1.7field-weighted citation impact, top 17% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Drug-Induced Liver Injury-Pharmacological Spectrum Among Children.International journal of molecular sciences · 2025
    Review
  4. 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

12 authors at 4 institutions in 2 countries.

Yan Liu *Department of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Hailong Li *Department of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Liang HuangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Chaomin WanKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, 610041, China.
Huiqing WangKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, 610041, China.
Xuefeng JiaoDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Linan ZengDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Zhijun JiaDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Guo ChengKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, 610041, China.
Lei ZhangCollege of Computer Science, Sichuan University, Chengdu, 610041, China.
Wei ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China. zhangwei@wchscu.cn.
Lingli ZhangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. zhanglingli@scu.edu.cn.
Sichuan University · CNWest China Second University Hospital of Sichuan University · CNNational Medical Products Administration · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence of drug-induced liver injury is abundant in adults but is lacking in children. Our aim was to identify suspected drug signals associated with pediatric liver injury.

methodsHepatic adverse events (HAEs) among children reported in the Food and Drug Administration Adverse Event Reporting System were analyzed. A descriptive analysis was performed to summarize pediatric HAEs, and a disproportionality analysis was conducted by evaluating reporting odds ratios (RORs) and proportional reporting ratios to detect suspected drugs.

resultsHere, 14,143 pediatric cases were reported, specifically 49.6% in males, 45.1% in females, and 5.2% unknown. Most patients (68.8%) were 6-18 years old. Hospitalization ranked first among definite outcomes (7,207 cases, 37.2%). In total, 264 disproportionate drug signals were identified. The top 10 drugs by the number of reports were paracetamol (1,365; ROR, 3.6; 95% confidence interval (CI), 3.4-3.8), methotrexate (878; ROR, 2.5; 95% CI, 2.3-2.7), vincristine (649; ROR, 3.0; 95% CI, 2.8-3.3), valproic acid (511; ROR, 3.2; 95% CI, 2.9-3.6), cyclophosphamide (490; ROR, 2.4; 95% CI, 2.2-2.6), tacrolimus (427; ROR, 2.4; 95% CI, 2.2-2.7), prednisone (416; ROR, 2.1; 95% CI, 1.9-2.3), prednisolone (401; ROR, 2.3; 95% CI, 2.1-2.5), etoposide (378; ROR, 2.3; 95% CI, 2.1-2.6), and cytarabine (344; ROR, 2.8; 95% CI, 2.5-3.2). After excluding validated hepatotoxic drugs, six were newly detected, specifically acetylcysteine, thiopental, temazepam, nefopam, primaquine, and pyrimethamine.

conclusionsThe hepatotoxic risk associated with 264 signals needs to be noted in practice. The causality of hepatotoxicity and mechanism among new signals should be verified with preclinical and clinical studies.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsAdolescentAdultChildDatabases, FactualFemaleHumansLiverMalePharmaceutical PreparationsUnited StatesUnited States Food and Drug AdministrationPharmaceutical PreparationsChildrenLiver injuryPharmacovigilanceSignal analysis

Identifiers

PMID37770847
PMCPMC10537493
OpenAlexW4387139772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.