Evidence map›Paper›PMID 41162931›Full record

ArticleBMC nephrology2025

BCR-ABL tyrosine kinase inhibitors associated acute kidney injury: a pharmacovigilance study based on the FAERS database with a case report.

Yanni Shi, Lingling Deng, Jingfeng Zhu, Yafeng Huang, Ming Zeng, Huijuan Mao, Zhimin Huang, Buyun Wu

Abstract readCase Reports
In one paragraph

Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Yanni Shi *Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Lingling Deng *Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Jingfeng ZhuDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Yafeng HuangDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Ming ZengDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Huijuan MaoDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Zhimin HuangDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China.
Buyun WuDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Guang Zhou Road 300#, Nanjing, Jiangsu Province, 210029, China. wubuyun@njmu.edu.cn.ORCID 0000-0002-4874-9171

Funding

Chunhui Project Foundation of the Education Department of China Grant HZKY20220176Jiangsu Province Hospital Clinical Capacity Enhancement Project JSPH-MC-2022-18
6 · The paper itself

Abstract

backgroundAlthough tyrosine kinase inhibitors (TKIs) are the standard first-line treatment for chronic myeloid leukemia (CML), their renal safety profiles need investigation. Herein, we report a case of flumatinib-associated acute kidney injury (AKI). We also conducted a disproportionality analysis to evaluate TKI-related renal risks using pharmacovigilance data.

methodsThis report described the case of a patient with CML who developed AKI during flumatinib treatment. A meta-analysis was subsequently performed to assess the incidence of flumatinib-associated renal adverse events. Adverse event reports for TKIs (imatinib, dasatinib, nilotinib, flumatinib, radotinib, bosutinib, and ponatinib) from 2004 to 2024 were retrieved from the FDA Adverse Event Reporting System (FAERS). Reporting odds ratios (RORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the reporting associations of TKIs with AKI or renal-related adverse events.

resultsA 54-year-old woman developed severe AKI requiring dialysis after 5 months of flumatinib treatment, with a kidney biopsy confirming acute tubulointerstitial injury. Her kidney function completely recovered after flumatinib was discontinued and glucocorticoid therapy was initiated and remained stable after the therapeutic transition to imatinib during the 14-month follow-up period. A meta-analysis of 11 cohort studies showed a pooled incidence of flumatinib-related renal adverse events of 7% (95% CI, 4%-10%; I² = 71.0%). Analysis of the FAERS data revealed 117,520 reports of TKI-related adverse events, including 381 cases of AKI (0.32%) and 1,336 renal adverse events (1.14%). Compared with non-TKIs, TKIs were not associated with increased disproportionality signals for AKI (ROR = 0.31; 95% CI 0.28-0.34) or renal adverse events (ROR = 0.48; 95% CI 0.45-0.50). Among TKIs, dasatinib (ROR = 0.55; 95% CI 0.42-0.72) and nilotinib (ROR = 0.46; 95% CI 0.34-0.62) were associated with lower disproportionality signals for AKI, whereas bosutinib and ponatinib did not significantly increase disproportionality compared with imatinib.

conclusionsTKIs, including flumatinib, may cause AKI; however, FAERS-based disproportionality analysis does not indicate an increased renal safety signal compared to non-TKIs. Among TKIs, dasatinib and nilotinib have lower reporting disproportionality than imatinib does, suggesting a potential therapeutic advantage of their use for patients with kidney diseases. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Acute Kidney InjuryLeukemia, Myelogenous, Chronic, BCR-ABL PositiveProtein Kinase InhibitorsAdverse Drug Reaction Reporting SystemsDatabases, FactualFemaleFusion Proteins, bcr-ablHumansMiddle AgedPharmacovigilanceTyrosine Kinase InhibitorsFusion Proteins, bcr-ablProtein Kinase InhibitorsTyrosine Kinase InhibitorsAcute kidney injuryCase reportPharmacovigilance studyRenal adverse eventsTyrosine kinase inhibitors

Identifiers

PMID41162931
PMCPMC12574079

What Socratic holds

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LicenceCC BY-NC-ND
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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.