ReviewTheranostics2022
Emerging early diagnostic methods for acute kidney injury.
Review in Theranostics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
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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
54 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.
- Predictive and prognostic value of the neutrophil-to-lymphocyte ratio for acute kidney injury: a systematic review and meta-analysis.Clinical and experimental medicine · 2025Pooled it
- The rate of acute kidney injury (AKI) alert detection by the attending physicians was associated with the prognosis of patients with AKI.Frontiers in public health · 2022Trial
- Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.Renal failure · 2026Observational
- Multiplexed plasmon-enhanced lateral flow assay for early diagnosis of acute kidney injury.Biosensors & bioelectronics · 2026Article
- Engineered Neutrophils in Translational Medicine: Gene Editing, Nanotechnology, and AI-Driven Clinical Breakthroughs.Advanced healthcare materials · 2026Review
- Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.World journal of pediatrics : WJP · 2026Article
- Shifts in Acute Kidney Injury Trends Post-Alert System Implementation: A Retrospective Observational Cohort Study.Kidney medicine · 2026Article
- Early risk stratification of acute kidney injury severity in patients with acute myocardial infarction and diabetes using machine learning.Scientific reports · 2026Article
- Keratin 20 Suppresses Exosomal Secretion of Peroxiredoxin 2 and Ferroptosis in Acute Kidney Injury.Journal of the American Society of Nephrology : JASN · 2026Article
- Targeting CDC42 Protects Mitochondrial Function through KLF2/HIF-1α/PINK1 Signaling in Acute Kidney Injury.International journal of biological sciences · 2026Article
- Artificial Intelligence in Pharmaceutical Drug Development: Transforming Formulation and Innovation.Current drug discovery technologies · 2026Review
- Obesity and mortality in KDIGO stage 3 acute kidney injury: a machine learning-driven retrospective cohort study.BMC nephrology · 2025Article
- Leveraging large language models for preoperative prevention of cardiopulmonary bypass-associated acute kidney injury.Renal failure · 2025Article
- Development and validation of machine learning models for predicting acute kidney injury in acute-on-chronic liver failure: a multimodel comparative study.Renal failure · 2025Article
- Prediction of all-cause in-hospital mortality after ICU admission and 1-year mortality after discharge of patients with acute kidney injury.Renal failure · 2025Article
- Enhanced sensitivity of lateral flow assay for NGAL detection using cysteamine-modified gold nanoparticles.RSC advances · 2025Article
- Activatable fluorescent ratiometric probes for early diagnosis and prognostic assessment of acute kidney injury.Science advances · 2025Article
- Kim-1-targeted multimodal nanoprobes for early diagnosis and monitoring of sepsis-induced acute kidney injury.Apoptosis : an international journal on programmed cell death · 2025Article
- Validation of an assay for NGAL in a pediatric population.Practical laboratory medicine · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many factors such as trauma and COVID-19 cause acute kidney injury (AKI). Late AKI have a very high incidence and mortality rate. Early diagnosis of AKI provides a critical therapeutic time window for AKI treatment to prevent progression to chronic renal failure. However, the current clinical detection based on creatinine and urine output isn't effective in diagnosing early AKI. In recent years, the early diagnosis of AKI has made great progress with the advancement of information technology, nanotechnology, and biomedicine. These emerging methods are mainly divided into two aspects: First, predicting AKI through models construct by machine learning; Second, early diagnosis of AKI through detection of newly-discovered early biomarkers. Currently, these methods have shown great potential and become an attractive tool for the early diagnosis of AKI. Therefore, it is very important to discuss and summarize these methods for the early diagnosis of AKI. In this review, we first systematically summarize the application of machine learning in AKI prediction algorithms and specific scenarios. In addition, we introduce the key role of early biomarkers in the progress of AKI, and then comprehensively summarize the application of emerging detection technologies for early AKI. Finally, we discuss current challenges and prospects of machine learning and biomarker detection. The review is expected to provide new insights for early diagnosis of AKI, and provided important inspiration for the design of early diagnosis of other major diseases.
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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 Socratic graph.