ReviewAvicenna journal of medical biotechnology
New Biomarkers in Early Diagnosis of Acute Kidney Injury in Children.
Review in Avicenna journal of medical biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- TIMP-2 and IGFBP7 for the differentiation of functional and intrinsic pediatric acute kidney injury.Pediatric research · 2026Article
- The role of urinary trehalase levels in the early diagnosis of acute kidney injury in dehydrated children.Pediatric nephrology (Berlin, Germany) · 2026Article
- Biomarkers for Early Detection of Diabetic Kidney Disease in Pediatric and Adolescent Populations: A Narrative Review.Health science reports · 2026Review
- Interpretable machine learning for the early prediction of acute kidney injury in preterm infants in the neonatal intensive care unit.Renal failure · 2025Article
- Research Progress on Signalling Pathways Related to Sepsis-Associated Acute Kidney Injury in Children.Current issues in molecular biology · 2025Review
- From acute kidney injury to chronic kidney disease in children: maladaptive repair and the need for long-term surveillance - a literature review.BMC nephrology · 2025Review
- Hypoxia-Treated Adipose Mesenchymal Stem Cells Derived Exosomes Enhance the Therapeutic Effects on Unilateral Ureteral Obstruction Mice.Pharmacology · 2025Article
- Optical Molecular Probes for Imaging and Early Diagnosis of Acute Kidney Injury.Current medicinal chemistry · 2025Review
- The usefulness of urinary netrin-1 determination as an early marker of acute kidney injury in children after cardiac surgery.Archives of medical science : AMS · 2025Article
- Acute Kidney Injury in Children: A Focus for the General Pediatrician.Children (Basel, Switzerland) · 2024Review
- Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions.Pediatric nephrology (Berlin, Germany) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute Kidney Injury (AKI) is a common condition with a high risk of mortality and morbidity, so, early diagnosis and management of AKI is very important in clinical practice. Despite significant progress in the management of AKI, it still carries high morbidity and mortality. BUN and serum creatinine are not very sensitive nor specific for the diagnosis of AKI because they are affected by many renal and non-renal factors that are independent of kidney injury or kidney function and change significantly only after significant kidney injury and with a substantial time delay. Detection of biomarkers of AKI made predominantly by the injured kidney tissue are essential for the early diagnosis of AKI. An ideal biomarker should be one that could be easily measured, with no interference with other biologic variables, and be able to clarify early phases of kidney damage. The most common biomarkers studied are Neutrophil Gelatinase-Associated Lipocalin (NGAL), Interleukin-18 (IL-18), Kidney Injury Molecule-1 (KIM-1), Cystatin-C, L type Fatty Acid-Binding Protein (L-FABP), N-Acetyl-β-D Glucosaminidase (NAG), netrin-1, vanin-1, and Monocyte Chemoattractant Protein-1 (MCP-1) and calprotectin.
Indexed as
Identifiers
36504568PMC9706243W4294716820What 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.