Trial reportRenal failure2015
Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.
Trial report in Renal failure, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- The value of serum cystatin c in predicting acute kidney injury after cardiac surgery: A systematic review and meta-analysis.PloS one · 2024Pooled it
- Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysis.Critical care (London, England) · 2022Pooled it
- Contribution of oxidative stress in the mechanisms of postoperative complications and multiple organ dysfunction syndrome.Redox report : communications in free radical research · 2021Pooled it
- Predictive value of serum cystatin C for acute kidney injury in adults: a meta-analysis of prospective cohort trials.Scientific reports · 2017Pooled it
- The Effect of Preoperative Hydration on Cardiac Surgery-Associated Acute Kidney Injury.Brazilian journal of cardiovascular surgery · 2026Trial
- Trial
- Urinary Calprotectin Predicts Severe Acute Kidney Injury After Non-cardiac Surgery in Surgical Intensive Care Unit: A Prospective Cohort Study.Biomarker insights · 2026Article
- A machine learning model integrating gut microbiota biomarkers for predicting neurological recovery after cerebral hypoxia-ischemia: a single-center study augmented with public data.Frontiers in pharmacology · 2026Article
- Detecting early kidney injury due to host-virus interaction response in treatment-naive CHB-a pilot study.Frontiers in cellular and infection microbiology · 2025Article
- Urinary L-FABP Assay in the Detection of Acute Kidney Injury following Haematopoietic Stem Cell Transplantation.Journal of personalized medicine · 2024Article
- Biomarker array for prediction of acute kidney injury after percutaneous coronary intervention for patients who had acute ST segment elevation myocardial infarction.Heart and vessels · 2024Article
- Immune urinary biomarkers predict infant cardiac surgery-associated acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2024Article
- Machine learning for dynamic and early prediction of acute kidney injury after cardiac surgery.The Journal of thoracic and cardiovascular surgery · 2023Article
- Hepcidin and Iron in Health and Disease.Annual review of medicine · 2023Review
- A bibliometric analysis of publications inRenal failure · 2023Review
- Extracorporeal Cardiopulmonary Resuscitation Guided by End-Tidal Carbon Dioxide-a Porcine Model.Journal of cardiovascular translational research · 2022Article
- Higher Mean Arterial Pressure during Cardiopulmonary Bypass May Not Prevent Acute Kidney Injury in Elderly Patients Undergoing Cardiac Surgery.International journal of clinical practice · 2022Article
- Serum and Urinary Neutrophil Gelatinase-Associated Lipocalin Are Not Associated With Serum Redox Parameters in Amateur Athletes After an Ultramarathon.Frontiers in physiology · 2022Article
- A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.BMC nephrology · 2021Article
- Preoperative Serum GDF-15, Endothelin-1 Levels, and Intraoperative Factors as Short-Term Operative Risks for Patients Undergoing Cardiovascular Surgery.Journal of clinical medicine · 2021Article
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 6 institutions in 5 countries.
Funding
Abstract
Novel acute kidney injury (AKI) biomarkers offer promise of earlier diagnosis and risk stratification, but have yet to find widespread clinical application. We measured urinary α and π glutathione S-transferases (α-GST and π-GST), urinary l-type fatty acid-binding protein (l-FABP), urinary neutrophil gelatinase-associated lipocalin (NGAL), urinary hepcidin and serum cystatin c (CysC) before surgery, post-operatively and at 24 h after surgery in 93 high risk patient undergoing cardiopulmonary bypass (CPB) and assessed the ability of these biomarkers alone and in combination to predict RIFLE-R defined AKI in the first 5 post-operative days. Twenty-five patients developed AKI. π-GST (ROCAUC = 0.75), lower urine Hepcidin:Creatine ratio at 24 h (0.77), greater urine NGAL:Cr ratio post-op (0.73) and greater serum CysC at 24 h (0.72) best predicted AKI. Linear combinations with significant improvement in AUC were: Hepcidin:Cr 24 h + post-operative π-GST (AUC = 0.86, p = 0.01), Hepcidin:Cr 24 h + NGAL:Cr post-op (0.84, p = 0.03) and CysC 24 h + post-operative π-GST (0.83, p = 0.03), notably these significant biomarkers combinations all involved a tubular injury and a glomerular filtration biomarker. Despite statistical significance in receiver-operator characteristic (ROC) analysis, when assessed by ability to define patients to two groups at high and low risk of AKI, combinations failed to significantly improve classification of risk compared to the best single biomarkers. In an alternative approach using Classification and Regression Tree (CART) analysis a model involving NGAL:Cr measurement post-op followed by Hepcidin:Cr at 24 h was developed which identified high, intermediate and low risk groups for AKI. Regression tree analysis has the potential produce models with greater clinical utility than single combined scores.
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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.