ReviewTranslational research : the journal of laboratory and clinical medicine2012
Marking renal injury: can we move beyond serum creatinine?
Review in Translational research : the journal of laboratory and clinical medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05378282 (Identification of Diabetic Nephropathy Biomarkers Through Transcriptomics), which is not on this map. Cited by 66 papers, 5 of them syntheses 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.
Identification of Diabetic Nephropathy Biomarkers Through Transcriptomics
Who cites it
66 citing papers in PubMed, 5 syntheses or guidelines pooled it, 151 citations in OpenAlex.
- Balanced crystalloid solutions versus normal saline in intensive care units: a systematic review and meta-analysis.International urology and nephrology · 2023Pooled it
- The value of urinary interleukin-18 in predicting acute kidney injury: a systematic review and meta-analysis.Renal failure · 2022Pooled it
- Biomarkers of acute kidney injury in pediatric cardiac surgery.Pediatric nephrology (Berlin, Germany) · 2022Pooled it
- Brain Natriuretic Peptide for Predicting Contrast-Induced Acute Kidney Injury in Patients with Acute Coronary Syndrome Undergoing Coronary Angiography: A Systematic Review and Meta-Analysis.Journal of interventional cardiology · 2020Pooled it
- Diagnostic value of urinary kidney injury molecule 1 for acute kidney injury: a meta-analysis.PloS one · 2014Pooled it
- Integrated biomarkers and renal Doppler for early acute kidney injury diagnosis in hepatitis C virus cirrhosis.World journal of nephrology · 2026Article
- Combined morphologic and immunohistochemical assessment of KIM-1-positive proximal tubular vacuolation in one-hour kidney allograft biopsies.BMC nephrology · 2026Article
- Review
- Iron-related protein in prediction of acute kidney injury in the pediatric population after cardiac surgery.Journal of cardiothoracic surgery · 2025Article
- Antibody-Based Biolayer Interferometry Platform for Rapid Detection of Neutrophil Gelatinase-Associated Lipocalin.Biosensors · 2025Article
- Evaluation of a Novel Biomarker Panel for Acute Kidney Injury Following Endovascular Aortic Repair.International journal of molecular sciences · 2025Article
- Biomarkers in Contrast-Induced Nephropathy: Advances in Early Detection, Risk Assessment, and Prevention Strategies.International journal of molecular sciences · 2025Review
- Temporary bilateral clamping of renal arteries induces ischemia-reperfusion: A new pig model of acute kidney injury using total intravenous anesthesia.Physiological reports · 2025Article
- Urinary L-FABP Assay in the Detection of Acute Kidney Injury following Haematopoietic Stem Cell Transplantation.Journal of personalized medicine · 2024Article
- Biomarkers in Contrast-Induced Acute Kidney Injury: Towards A New Perspective.International journal of molecular sciences · 2024Review
- Predictive Performance of Neutrophil Gelatinase Associated Lipocalin, Liver Type Fatty Acid Binding Protein, and Cystatin C for Acute Kidney Injury and Mortality in Severely Ill Patients.Annals of laboratory medicine · 2024Article
- Article
- Association between blood urea nitrogen to serum albumin ratio and in-hospital mortality in critical patients with diabetic ketoacidosis: a retrospective analysis of the eICU database.Frontiers in endocrinology · 2024Article
- Integrated metabolomics and proteomics reveal biomarkers associated with hemodialysis in end-stage kidney disease.Frontiers in pharmacology · 2023Article
- Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Acute kidney injury (AKI) is a prevalent and devastating condition associated with significant morbidity and mortality. Despite marked improvements in clinical care, the outcomes for subjects with AKI have shown limited improvement in the past 50 years. A major factor inhibiting clinical progress in this field has been the inability to accurately predict and diagnose early kidney dysfunction. The current gold standard clinical and biochemical criteria for diagnosis of AKI, Risk Injury Failure Loss End-stage renal disease, and its modification, Acute Kidney Injury Network criteria, rely on urine output and serum creatinine, which are insensitive, nonspecific, and late markers of disease. The recent development of a variety of analytic mass spectrometry-based platforms have enabled separation, characterization, detection, and quantification of proteins (proteomics) and metabolites (metabolomics). These high-throughput platforms have raised hopes of identifying novel protein and metabolite markers, and recent efforts have led to several promising novel markers of AKI. However, substantial challenges remain, including the need to systematically evaluate incremental performance of these markers over and beyond current clinical and biochemical criteria for AKI. We discuss the basic issues surrounding AKI biomarker development, highlight the most promising markers currently under development, and discuss the barriers toward widespread clinical implementation of these markers.
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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.