Evidence map›Paper›PMID 40892715›Full record

ArticlePloS one2025

Adverse drug events associated with sodium zirconium cyclosilicate: A real-world pharmacovigilance study based on the FAERS database.

Yinrui Fang, Zilun Wu, Qian Wu, Gangyi Chen

Abstract read
In one paragraph

Article in PloS one, 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yinrui FangGuangzhou University of Chinese Medicine, Guangzhou, China.
Zilun WuGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0000-1136-2822
Qian WuGuangzhou University of Chinese Medicine, Guangzhou, China.
Gangyi ChenGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0000-8637-3761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSodium zirconium cyclosilicate (SZC, Lokelma) is a novel hyperkalemia therapy, but comprehensive real-world safety data are lacking. This study aimed to characterize SZC-associated adverse events (AEs) using post-marketing surveillance. RESEARCH DESIGN AND

methodsAE reports for SZC/Lokelma were extracted from the FDA Adverse Event Reporting System (FAERS) (2004-2023). Four disproportionality algorithms (ROR, PRR, BCPNN, MGPS) identified safety signals. Significant system organ class (SOC) signals required ROR ≥ 2; preferred term (PT) signals met all algorithm thresholds, with false discovery rate adjustment.

resultsAmong 1,564 AE reports (49% males, 29.5% females), four SOCs showed significant signals: metabolism/nutrition, renal/urinary, cardiac, and general disorders. Eighteen PT signals included hypokalemia, cardiac failure, and hypertension. Previously unreported AEs (e.g., ileus, ventricular fibrillation) emerged. AEs peaked early (41.87% within 30 days). Subgroup analyses confirmed robustness.

conclusionsThis study highlights both previously recognized and potentially novel adverse event signals associated with SZC, particularly during the early phase of treatment. While limited by the inherent constraints of spontaneous reporting systems-such as underreporting and missing data-our findings suggest that clinicians may consider closer monitoring of metabolic, renal, and cardiac adverse events during initial therapy. Observed early signals merit further validation in prospective studies, while long-term risks remain to be clarified.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceSilicatesAdolescentAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesYoung AdultSilicatessodium zirconium cyclosilicate

Identifiers

PMID40892715
PMCPMC12404485

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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.