ReviewDrug safety2017
Clinical Relevance and Predictive Value of Damage Biomarkers of Drug-Induced Kidney Injury.
Review in Drug safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Kidney Damage and Stress Biomarkers for Early Identification of Drug-Induced Kidney Injury: A Systematic Review.Drug safety · 2022Pooled it
- What new renal biomarkers tell us about renal physiology: Collection: physiology applied to ICU.Annals of intensive care · 2026Review
- Novel Kidney Biomarkers and Antibiotics-Induced Acute Kidney Injury: A Practical Assessment of Current and Future Applications.Clinical and translational science · 2025Review
- Anti-Infective-Associated AKI: A Narrative Review of the Epidemiology, Mechanisms, Risk Factors, Biomarkers, Clinical Course, Monitoring, Prevention, and Therapeutic Strategies.Antibiotics (Basel, Switzerland) · 2025Review
- Past, present, and future biomarkers of kidney function and injury: The relationship with antibiotics.International journal of antimicrobial agents · 2024Review
- Moving toward a contemporary classification of drug-induced kidney disease.Critical care (London, England) · 2023Review
- A Multichannel Fluorescent Array Sensor for Discrimination of Different Types of Drug-Induced Kidney Injury.Sensors (Basel, Switzerland) · 2023Article
- Acute Kidney Injury: Biomarker-Guided Diagnosis and Management.Medicina (Kaunas, Lithuania) · 2022Review
- Clinician perspectives on inpatient cystatin C utilization: A qualitative case study at Mayo Clinic.PloS one · 2020Article
- Article
- Subclinical AKI: ready for primetime in clinical practice?Journal of nephrology · 2019Review
- AKD-The Time Between AKI and CKD: What Is the Role of the Pharmacist?Hospital pharmacy · 2017Article
- Serum Cystatin C for Evaluation of Acute Kidney Injury in Adults Treated with Colistin.Journal of research in pharmacy practiceArticle
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 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nephrotoxin exposure accounts for up to one-fourth of acute kidney injury episodes in hospitalized patients, and the associated consequences are as severe as acute kidney injury due to other etiologies. As the use of nephrotoxic agents represents one of the few modifiable risk factors for acute kidney injury, clinicians must be able to identify patients at high risk for drug-induced kidney injury rapidly. Recently, significant advancements have been made in the field of biomarker utilization for the prediction and detection of acute kidney injury. Such biomarkers may have a role both for detection of drug-induced kidney disease and implementation of preventative and therapeutic strategies designed to mitigate injury. In this article, basic principles of renal biomarker use in practice are summarized, and the existing evidence for six markers specifically used to detect drug-induced kidney injury are outlined, including liver-type fatty acid binding protein, neutrophil gelatinase-associated lipocalin, tissue inhibitor of metalloproteinase-2 times insulin-like growth factor-binding protein 7 ([TIMP-2]·[IGFBP7]), kidney injury molecule-1 and N-acetyl-β-D-glucosaminidase. The results of the literature search for these six kidney damage biomarkers identified 29 unique articles with none detected for liver-type fatty acid binding protein and [TIMP-2]·[IGFBP7]. For three biomarkers, kidney injury molecule-1, neutrophil gelatinase-associated lipocalin and N-acetyl-β-D-glucosaminidase, the majority of the studies suggest utility in clinical practice. While many questions need to be answered to clearly articulate the use of biomarkers to predict drug-induced kidney disease, current data are promising.
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What OpenQuestion holds
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.