Evidence mapPaperPMID 37561197Full record

ArticleEuropean journal of pediatrics2023

Drug-associated kidney injury in children: a disproportionality analysis of the FDA Adverse Event Reporting System.

Miao Zhang, Hailong Li, Liang Huang, Yan Liu, Xue-Feng Jiao, Linan Zeng, Zhi-Jun Jia, Guo Cheng, Lingli Zhang, Wei Zhang

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Article in European journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

10 authors.

Miao ZhangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Hailong LiDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Liang HuangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Yan LiuDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Xue-Feng JiaoDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Linan ZengDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Zhi-Jun JiaDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Guo ChengKey Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China.
Lingli ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. zhanglingli@scu.edu.cn.
Wei ZhangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China. zhangwei@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-associated kidney injury is related to longer hospitalization and increased risk of chronic kidney disease and mortality. However, there is currently a lack of large population studies on drug-associated kidney injury in children. This study aimed to study perform data mining to generate hypotheses on drugs, which may deserve to be assessed as per their potential risk of increasing kidney injury in children. We extracted and analyzed reports on drugs associated with kidney injury in children in the FDA Adverse Event Reporting System (FAERS). We conducted a disproportionality analysis using proportional reporting ratio (PRR) to evaluate the association between drugs and kidney injury in children. Meanwhile, comparisons were performed with drug labels to identify drugs that, despite not having kidney injury currently mentioned in their labels, may potentially be associated with risks of kidney injury in children. A total of 6347 children had drug-associated kidney injury in the FAERS database. The top five drugs with the highest PRR were gentamicin (PRR = 12.28, N = 157 cases, Chi-Squared = 1602.77), piperacillin-tazobactam (PRR = 9.77, N = 129 cases, Chi-Squared = 1003.24), amlodipine (PRR = 8.98, N = 271 cases, Chi-Squared = 1861.46), vancomycin (PRR = 8.91, N = 295 cases, Chi-Squared = 1998.64), and ceftriaxone (PRR = 8.00, N = 251 cases, Chi-Squared = 1494.02). According to drug labels, 9 drugs (9/30) were classified as potential nephrotoxins.

conclusionsApproximately one-third of drugs associated with kidney injury in children do not list kidney injury as a side effect in their drug labels. Future studies are therefore warranted to evaluate whether these drugs are associated with such a risk. WHAT IS KNOWN: • Nephrotoxic drugs are an increasingly common cause of acute kidney injury in hospitalized children. • Currently, no study has systematically combed drugs associated with kidney injury in children. WHAT IS NEW: • Approximately a third of drugs showing signals for potential kidney injury in children in data mining do not mention this side effect in their drug labels. • This study provides data on drugs needing further study to determine whether they might increase the risk of kidney injury in children.

Indexed as

Acute Kidney InjuryDrug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsChildHumansKidneyUnited StatesUnited States Food and Drug AdministrationChildrenDisproportionalityDrug-associated kidney injuryFAERS

Identifiers

PMID37561197

What Socratic 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 Socratic graph.