Evidence map›Paper›PMID 40579030›Full record

ArticleIn vivo (Athens, Greece)

Comprehensive Analysis of Proteinuria and Nephrotic Syndrome Using the Japanese Adverse Drug Event Reporting Database.

Sho Masago, Kenta Yamaoka, Mayako Uchida, Yoshihiro Uesawa, Kennosuke Yorifuji, Tadashi Shimizu

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Sho MasagoDepartment of Pharmacy, Shinko Hospital, Kobe, Japan.
Kenta YamaokaGraduate School of Pharmacy, Hyogo Medical University, Kobe, Japan; kenta_yamaoka@kcho.jp.
Mayako UchidaDepartment of Pharmacy, Kyushu University Hospital, Fukuoka, Japan.
Yoshihiro UesawaDepartment of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo, Japan.
Kennosuke YorifujiDepartment of Pharmacy, Shinko Hospital, Kobe, Japan.
Tadashi ShimizuGraduate School of Pharmacy, Hyogo Medical University, Kobe, Japan; shimizu-t@hyo-med.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThis study aimed to identify potential drug associations between proteinuria and nephrotic syndrome (NS) using the Japanese Adverse Drug Event Report (JADER) database. PATIENTS AND

methodsWe extracted data reported in JADER between April 2004 and May 2023, and conducted a comprehensive disproportionality analysis of spontaneous adverse event reports to identify drugs potentially linked to proteinuria and NS.

resultsOur analysis identified 20 and 32 drugs associated with proteinuria and NS, respectively. Notably, anti-vascular endothelial growth factor (anti-VEGF) agents represented 45% (9/20) of proteinuria-associated drugs and 34% (11/32) of NS-associated drugs. Furthermore, the association between anti-VEGF agents and these adverse events appeared to be independent of the route of administration, sex, or clinical background.

conclusionThese findings suggest that anti-VEGF agents play a significant role in the development of proteinuria and NS. Given the widespread use of anti-VEGF therapy, heightened vigilance, routine monitoring, and timely interventions are crucial to mitigate these risks and improve patient outcomes.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsNephrotic SyndromeProteinuriaAdultAgedDatabases, FactualFemaleHumansJapanMaleMiddle AgedVascular Endothelial Growth Factor AVascular Endothelial Growth Factor AAdverse eventanti-VEGF agentsnephrotic syndromepharmacovigilanceproteinuria

Identifiers

PMID40579030
PMCPMC12223660

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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 OpenQuestion graph.