Evidence map›Paper›PMID 40185858›Full record

ArticleScientific reports2025

Safety assessment of proteasome inhibitors real world adverse event analysis from the FAERS database.

Jinlong Huang, Miaomiao Zhang, Jingyang Lin, Xiuli Yang, Ping Huang, Xiaochun Zheng

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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.

Jinlong HuangCenter for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Rd, Gongsu District, Hangzhou, 310014, Zhejiang, China.
Miaomiao ZhangCenter for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Rd, Gongsu District, Hangzhou, 310014, Zhejiang, China.
Jingyang LinHeart Center, Department of Cardiovascular Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Xiuli YangCenter for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Rd, Gongsu District, Hangzhou, 310014, Zhejiang, China.
Ping HuangCenter for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Rd, Gongsu District, Hangzhou, 310014, Zhejiang, China. huangpwly@sina.com.
Xiaochun ZhengCenter for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Rd, Gongsu District, Hangzhou, 310014, Zhejiang, China. 13868109173@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteasome inhibitor analogs (PIs) have significantly improved the degree of remission and survival rate of patients with multiple myeloma. However, serious adverse events (AEs) have hindered their clinical application. This study analyzed the AEs reported in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database to determine the safety profile and differences for the PI drugs bortezomib, carfilzomib, and ixazomib. The reporting odds ratio (ROR) was used to detect safety signals. Significant safety signals were detected based on system-organ classification (SOC). For bortezomib, the most significant SOC signal was "blood and lymphatic system disorders" (ROR = 3.47, 95% CI 3.37-3.57), while the most significant PT signal was "enteric neuropathy" (ROR = 134.96, 95% CI 45.67-398.79). For carfilzomib, the most significant SOC signal being "blood and lymphatic system disorders" (ROR = 4.34, 95% CI 4.17-4.53), while the most significant PT signal was "light chain analysis increased" (ROR = 76.65, 95% CI 57.07-102.96). For ixazomib, the most significant SOC signal was "gastrointestinal disorders" (ROR = 2.04, 95% CI 1.96-2.12), while the most significant PT signal was "light chain analysis increased" (ROR = 67.15, 95% CI 45.36-99.42). For bortezomib and carfilzomib, the top 20 reported PTs were consistent with AEs listed in the drug information. For ixazomib, six unexpected AEs were observed: asthenia, malaise, pyrexia, decreased appetite, dehydration, and falls. The PIs were consistent with the early failure model based on time-series analysis of the occurrence of adverse reactions to the drug. The data mined from FAERS generates new AE signals, and further clinical studies are needed to validate these findings.

Indexed as

Adverse Drug Reaction Reporting SystemsAntineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsMultiple MyelomaProteasome InhibitorsBoron CompoundsBortezomibDatabases, FactualGlycineHumansOligopeptidesUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsBoron CompoundsBortezomibcarfilzomibGlycineixazomibOligopeptidesProteasome InhibitorsAdverse drug eventsFAERSMultiple myelomaPIsReal-world study

Identifiers

PMID40185858
PMCPMC11971352

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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 OpenQuestion graph.