ReviewEuropean heart journal2019
Application of net reclassification index to non-nested and point-based risk prediction models: a review.
Review in European heart journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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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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Who cites it
34 citing papers in PubMed.
- An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease.European heart journal. Digital health · 2026Article
- Prediction of 6-year mortality in advanced splenomegaly-subtype schistosomiasis: a retrospective cohort study from Hubei, China.BMJ open · 2026Article
- Cerebral microbleed patterns and the risk of incident dementia in elderly adults: The ARIC study.PloS one · 2026Article
- Prognostic Significance of Peripheral Monocyte Counts in Patients With Chronic Heart Failure.Circulation reports · 2025Article
- Genetic analyses across cardiovascular traits: leveraging genetic correlations to empower locus discovery and prediction in common cardiovascular diseases.NPJ genomic medicine · 2025Article
- The role of the pleural fluid lactate dehydrogenase/adenosine deaminase ratio in differentiating between tuberculosis pleural effusion and parapneumonic effusion: a retrospective cohort study and meta-analysis.Journal of thoracic disease · 2025Article
- Article
- A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation.Journal of medical Internet research · 2025Article
- Machine-learning phenotyping of patients with functional mitral regurgitation undergoing transcatheter edge-to-edge repair: the MITRA-AI study.European heart journal. Digital health · 2025Article
- Utility of long-term systolic blood pressure variability for predicting the development of type 2 diabetes mellitus.Nagoya journal of medical science · 2025Article
- Analysis of the correlation between peripheral blood inflammatory markers and imaging burden of cerebral small vessel disease.Frontiers in neurology · 2025Article
- Association between Advanced Lung Cancer Inflammation Index and 30-day mortality in patients with spontaneous intracerebral hemorrhage: a retrospective cohort study.Frontiers in neurology · 2025Article
- Nomogram for predicting pathologic complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma.Cancer medicine · 2024Article
- Development and evaluation of nomograms and risk stratification systems to predict the overall survival and cancer-specific survival of patients with hepatocellular carcinoma.Clinical and experimental medicine · 2024Article
- Prognostic nomograms for breast cancer with lung metastasis: a SEER-based population study.BMC women's health · 2024Article
- Padua prediction score may be inappropriate for VTE risk assessment in hospitalized patients with acute respiratory conditions: A Chinese single-center cohort study.International journal of cardiology. Heart & vasculature · 2023Article
- A LASSO-derived developing and validating risk model for chronic total occlusion in Asian population before coronary angiography.Cardiovascular diagnosis and therapy · 2023Article
- Systemic Immune-Inflammation Index and Long-Term Mortality in Patients with Stroke-Associated Pneumonia.Journal of inflammation research · 2023Article
- Leveraging Machine Learning Techniques to Forecast Chronic Total Occlusion before Coronary Angiography.Journal of clinical medicine · 2022Article
- Development and validation of novel nomograms to predict survival of patients with tongue squamous cell carcinoma.World journal of clinical cases · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Much of medical risk prediction involves externally derived prediction equations, nomograms, and point-based risk scores. These settings are vulnerable to misleading findings of incremental value based on versions of the net reclassification index (NRI) in common use. By applying non-nested models and point-based risk scores in the setting of stroke risk prediction in patients with atrial fibrillation (AF), we demonstrate current recommendations for presentation and interpretation of the NRI. We emphasize pitfalls that are likely to occur with point-based risk scores that are easy to neglect when statistical methodology is focused on continuous models. In order to make appropriate decisions about risk prediction and personalized medicine, physicians, researchers, and policy makers need to understand the strengths and limitations of the NRI.
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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.