Evidence map›Paper›PMID 39327387›Full record

ArticleDrug safety2025

An Integrated Approach for Representing Knowledge on the Potential of Drugs to Cause Acute Kidney Injury.

Daniel Fernández-Llaneza, Romy M P Vos, Joris E Lieverse, Helen R Gosselt, Sandra L Kane-Gill, Teun van Gelder, Joanna E Klopotowska, LEAPfROG Consortium

Abstract read
In one paragraph

Article in Drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Review
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

8 authors.

Daniel Fernández-LlanezaDepartment of Medical Informatics, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands. d.fernandezllaneza@amsterdamumc.nl.ORCID 0000-0002-2770-4214
Romy M P VosDepartment of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0009-0002-4595-8282
Joris E LieverseDepartment of Medical Informatics, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.ORCID 0000-0002-1560-091X
Helen R GosseltNetherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands.ORCID 0000-0002-9262-7411
Sandra L Kane-GillDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-7523-4846
Teun van GelderDepartment of Clinical Pharmacology and Toxicology, Leiden University Medical Centre, Leiden, The Netherlands.ORCID 0000-0001-5980-6947
Joanna E KlopotowskaDepartment of Medical Informatics, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.ORCID 0000-0002-9707-5740
LEAPfROG Consortium

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek KICH1.ST01.20.011
6 · The paper itself

Abstract

INTRODUCTION AND

objectiveThe recent rise in acute kidney injury (AKI) incidence, with approximately 30% attributed to potentially preventable adverse drug events (ADEs), poses challenges in evaluating drug-induced AKI due to polypharmacy and other risk factors. This study seeks to consolidate knowledge on the drugs with AKI potential from four distinct sources: (i) bio(medical) peer-reviewed journals; (ii) spontaneous reporting systems (SRS); (iii) drug information databases (DIDs); and (iv) NephroTox website. By harnessing the potential of these underutilised sources, our objective is to bridge gaps and enhance the understanding of drug-induced AKI.

methodsBy searching Medline, studies with lists of drugs with AKI potential established through consensus amongst medical experts were selected. A final list of 63 drugs was generated aggregating the original studies. For these 63 drugs, the AKI reporting odds ratios (RORs) using three SRS databases, the average frequency of ADEs from four different DIDs and the number of published studies identified via NephroTox was reported.

resultsDrugs belonging to the antivirals, antibacterials, and non-steroidal anti-inflammatory pharmacological classes exhibit substantial consensus on AKI potential, which was also reflected in strong ROR signals, frequent to very frequent AKI-related ADEs and a high number of published studies reporting adverse kidney events as identified via NephroTox. Renin-angiotensin aldosterone system inhibitors and diuretics also display comparable signal strengths, but this can be attributed to expected haemodynamic changes. More variability is noted for proton-pump inhibitors.

conclusionsBy integrating four disjointed sources of knowledge, we have created a novel, comprehensive resource on drugs with AKI potential, contributing to kidney safety improvement efforts.

Indexed as

Acute Kidney InjuryDrug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsDatabases, FactualHumansRisk Factors

Identifiers

PMID39327387
PMCPMC11711143

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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.