ReviewTherapeutic innovation & regulatory science2024
Detection, Monitoring, and Mitigation of Drug-Induced Nephrotoxicity: A Pragmatic Approach.
Review in Therapeutic innovation & regulatory science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Detecting drug-induced nephrotoxicity using simultaneous label-free autofluorescence multiharmonic microscopy.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- The impact of left ventricular assist devices on kidney function: a systematic review and meta-analysis.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026Review
- Oxidative Stress-Driven Mechanisms and Biomarkers of Drug-Induced Nephrotoxicity: Translational Insights and Therapeutic Implications.Antioxidants (Basel, Switzerland) · 2026Review
- Article
- Calcineurin Inhibitors: Current Role, Toxicity Management, and Future Frontiers in Immunosuppression.Molecular neurobiology · 2025Review
- Novel emerging cell and organoid systems for the study of drug metabolism and toxicity in humans.Drug metabolism and disposition: the biological fate of chemicals · 2025Review
- Platinum-based chemotherapies-induced nephrotoxicity: mechanisms, potential treatments, and management.International urology and nephrology · 2025Review
- A Novel Protocol for Culturing Polarized Proximal Tubular Epithelial Cells from Kidney Biopsies: Enhancing Platforms for Drug Excretion and Nephrotoxicity Studies.Journal of xenobiotics · 2025Article
- Anti-amyloid treatment is broadly effective in neuronopathic mucopolysaccharidoses and synergizes with gene therapy in MPS-IIIA.Molecular therapy : the journal of the American Society of Gene Therapy · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The kidneys play a pivotal role in elimination of most drugs; therefore, a comprehensive understanding of renal physiology and pathology is important for those involved in drug development. High filtration capacity and metabolic activity make the kidneys vulnerable to drug-induced nephrotoxicity (DIN). Acute DIN may manifest on a background of renal impairment that has resulted from underlying disease, previously administered nephrotoxic medications, congenital renal abnormalities, or the natural aging process. The ability of the kidneys to compensate for DIN depends on the degree of pre-insult renal function. Therefore, it can be difficult to identify. The discovery and development of novel biomarkers that can diagnose kidney damage earlier and more accurately than current clinical measures and may be effective in detecting DIN. The goal of this manuscript is to provide a pragmatic and evidence-based supportive guidance for the early identification and management of DIN during the drug development process for clinical trial participants of all ages. The overall objective is to minimize the impact of DIN on kidney function and to collect renal safety data enabling risk analysis and mitigation.
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Registered trials
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.