ReviewInternational urology and nephrology2024
ROC curve analysis: a useful statistic multi-tool in the research of nephrology.
Review in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Power and Phase Fusion Spectrogram with Three-Dimensional Convolution and Vision Transformer for Seizure Detection.Diagnostics (Basel, Switzerland) · 2026Article
- Development and validation of a risk prediction model for dysglycaemia at 6-12 weeks postpartum in Chinese women with gestational diabetes: a retrospective cohort study.Diabetology & metabolic syndrome · 2026Article
- Movement Control and Long-Latency Reflexes Are Reproducible Measures of Shoulder Neuromuscular Control.Journal of functional morphology and kinesiology · 2026Article
- Epigenetic Landscape of Female Infertility: An Integrated Bioinformatics Perspective on DNA Methylation, MicroRNAs, and Gene Regulatory Networks Across PCOS, Endometriosis, and Diminished Ovarian Reserve.International journal of molecular sciences · 2026Article
- Diagnosis of gout using monosodium urate (MSU) crystal binding peptides screened from Fv-antibody library.Analytical and bioanalytical chemistry · 2026Article
- The application of machine learning in the evaluation of urinary tract infections incidence in patients in a Nursing and Treatment Facility.Pharmacological reports : PR · 2026Article
- Diagnostic Value of Serum sST2 and MicroRNA-29a in Ovarian Cancer: A Dual-Biomarker Pilot Study.Current issues in molecular biology · 2026Article
- AnCurrent drug targets · 2026Article
- An Operational Status Assessment Model for SFSensors (Basel, Switzerland) · 2025Article
- Development of a Machine Learning Tool for Home-Based Assessment of Periodontitis.medRxiv : the preprint server for health sciences · 2025Article
- Fibrosis-4 index as a predictor of all-cause and cardiovascular mortality in patients with chronic kidney disease.PloS one · 2025Article
- Bioinformatics analysis identifies ZBTB16 as a potential immune biomarker for lung cancer and pan-cancer.Frontiers in genetics · 2025Article
- Bioinformatics reveals the potential mechanisms and biomarkers of necroptosis in neuroblastoma.Translational cancer research · 2024Article
- Performance evaluation and clinical application of the UA-5600 automatic dry chemistry urine analyzer in renal diseases.Translational andrology and urology · 2024Article
- NDUFA11 may be the disulfidptosis-related biomarker of ischemic stroke based on integrated bioinformatics, clinical samples, and experimental analyses.Frontiers in neuroscience · 2024Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In the past decade, scientific research in the area of Nephrology has focused on evaluating the clinical utility and performance of various biomarkers for diagnosis, risk stratification and prognosis. Before implementing a biomarker in everyday clinical practice for screening a specific disease context, specific statistic measures are necessary to evaluate the diagnostic accuracy and performance of this biomarker. Receiver Operating Characteristic (ROC) Curve analysis is an important statistical method used to estimate the discriminatory performance of a novel diagnostic test, identify the optimal cut-off value for a test that maximizes sensitivity and specificity, and evaluate the predictive value of a certain biomarker or risk, prediction score. Herein, through practical examples, we aim to present a simple methodological approach to explain in detail the principles and applications of ROC curve analysis in the field of nephrology pertaining diagnosis and prognosis.
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