ArticleAmerican journal of epidemiology2018
Performance of the Net Reclassification Improvement for Nonnested Models and a Novel Percentile-Based Alternative.
Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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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
21 citing papers in PubMed.
- Article
- Prognostic value of the Duke Activity Status Index for preoperative cardiac risk stratification: an international pooled cohort study.EClinicalMedicine · 2026Article
- Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practices.Heart (British Cardiac Society) · 2026Article
- Sex-specific cardiovascular risk prediction using AI-derived epicardial adipose tissue measurements on CT calcium scoring exams.American journal of preventive cardiology · 2026Article
- Natriuretic peptides testing and survival prediction models for chronic heart failure: a systematic review of added prognostic value.Diagnostic and prognostic research · 2025Review
- Evaluation of Machine Learning and Traditional Statistical Models to Assess the Value of Stroke Genetic Liability for Prediction of Risk of Stroke Within the UK Biobank.Healthcare (Basel, Switzerland) · 2025Article
- Predicting Atrial Fibrillation After Stroke by Combining Polygenic Risk Scores and Clinical Features.Stroke · 2025Article
- Comparative studies of 2168 plasma proteins measured by two affinity-based platforms in 4000 Chinese adults.Nature communications · 2025Article
- Ultrafast sequence-based prediction model and nomogram to differentiate additional suspicious lesions on preoperative breast MRI.European radiology · 2025Article
- Serum Level of Cadherin-P (CDH3) Is a Novel Predictor of Cardiovascular Events Related to Atherosclerosis in a 3-Year Follow-Up Study.Journal of clinical medicine · 2024Article
- Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses.Nature genetics · 2024Article
- Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank.Journal of clinical medicine · 2024Article
- Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024Article
- Combining clinical notes with structured electronic health records enhances the prediction of mental health crises.Cell reports. Medicine · 2023Article
- An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease.NPJ Parkinson's disease · 2023Article
- Usefulness of the Vall d'Hebron Risk Score to stratify the risk of patients with ischemic cardiomyopathy.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Review
- Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records.Journal of the American Heart Association · 2022Article
- A Comparison of Clinical Prognostic Indices in Elderly Patients with Diffuse Large B-Cell Lymphoma Treated with a Pegylated Liposomal Doxorubicin Combination Regimen in China.Cancer management and research · 2022Article
- Development and Validation of a Nomogram Based on Nutritional Indicators and Tumor Markers for Prognosis Prediction of Pancreatic Ductal Adenocarcinoma.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The net reclassification improvement (NRI) is a widely used metric used to assess the relative ability of 2 risk models to distinguish between low- and high-risk individuals. However, the validity and usefulness of the NRI have been questioned. Criticism of the NRI focuses on its use comparing nested risk models, whereas in practice it is often used to compare nonnested risk models derived from distinct data sources. In this study, we evaluated the performance of the NRI in a nonnested context by using it to compare competing cardiovascular risk-prediction models. We explored the NRI's sensitivity to variations in risk categories and to the calibration of the compared models. We found that the NRI was very sensitive to changes in the definition of risk categories, especially when at least 1 model was miscalibrated. To address these shortcomings, we describe a novel alternative to the usual NRI that uses percentiles of risk instead of cutoffs based on absolute risk. This percentile-based NRI demonstrates the relative ability of 2 models to rank patient risk. It displays more stable behavior, and we recommend its use when there are no established risk categories or when models are miscalibrated.
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