Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

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Items 101–161 of 161

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5. Does erectile dysfunction contribute to cardiovascular disease risk prediction beyond the Framingham risk score?
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   Moledina, Dennis G., Wilson, F. Perry, Pober, Jordan S., Perazella, Mark A., Singh, Nikhil, Luciano, Randy L., Obeid, Wassim, Lin, Haiqun, Kuperman, Michael, Moeckel, Gilbert W. et al. · 2019 · JCI Insight
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   Mathew, Jehu S., Sachs, Michael C., Katz, Ronit, Patton, Kristen K., Heckbert, Susan R., Hoofnagle, Andrew N., Alonso, Alvaro, Chonchol, Michel, Deo, Rajat, Ix, Joachim H. et al. · 2014 · Circulation
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10. Cardiac computed tomography and myocardial perfusion scintigraphy for risk stratification in asymptomatic individuals without known cardiovascular disease: a position statement of the Working Group on Nuclear Cardiology and Cardiac CT of the European Society of Cardiology
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11. Atrial fibrillation prevalence, incidence and risk of stroke and all-cause death among Chinese
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12. Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial
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13. Longitudinal Algorithms to Estimate Cardiorespiratory Fitness
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14. Development and performance of an algorithm to estimate the Child-Turcotte-Pugh score from a National Electronic Healthcare Database
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15. Topologically convergent and divergent functional connectivity patterns in unmedicated unipolar depression and bipolar disorder
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16. ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction models
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17. Reproductive Risk Factors and Coronary Heart Disease in the Women’s Health Initiative Observational Study
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18. Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
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19. Relationship Between Nonsustained Ventricular Tachycardia After Non–ST-Elevation Acute Coronary Syndrome and Sudden Cardiac Death: Observations From the Metabolic Efficiency With Ranolazine for Less Ischemia in Non–ST-Elevation Acute Coronary Syndrome–Thrombolysis in Myocardial Infarction 36 (MERLIN-TIMI 36) Randomized Controlled Trial
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20. How much does HDL cholesterol add to risk estimation? A report from the SCORE Investigators
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21. Prognostic utility of novel biomarkers of cardiovascular stress in patients with aortic stenosis undergoing valve replacement
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22. Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS)
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23. Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate
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24. Association of C-Reactive Protein With Cardiovascular Disease Mortality According to Diabetes Status
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25. Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
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26. Different definitions in childhood asthma: how dependable is the dependent variable?
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27. Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use
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28. Practical classification guidelines for diabetes in patients treated with insulin: a cross-sectional study of the accuracy of diabetes diagnosis
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29. Predicting all‐cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison
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30. Use of reclassification for assessment of improved prediction: an empirical evaluation
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31. A genetic risk score based on direct associations with coronary heart disease improves coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC), but not in the Rotterdam and Framingham Offspring, Studies
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32. Identifying Novel Biomarkers for Cardiovascular Events or Death in People With Dysglycemia
    Gerstein, Hertzel C., Paré, Guillaume, McQueen, Matthew J., Haenel, Heinz, Lee, Shun Fu, Pogue, Janice, Maggioni, Aldo P., Yusuf, Salim, Hess, Sibylle · 2015 · Circulation
33. Predicting the Restenosis Benefit of Drug-Eluting Versus Bare Metal Stents in Percutaneous Coronary Intervention
    Yeh, Robert W., Normand, Sharon-Lise T., Wolf, Robert E., Jones, Philip G., Ho, Kalon K.L., Cohen, David J., Cutlip, Donald E., Mauri, Laura, Kugelmass, Aaron D., Amin, Amit P. et al. · 2011 · Circulation
34. Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score
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35. Circulating fatty acids and risk of gestational diabetes mellitus: prospective analyses in China
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36. A probabilistic model for Cushing’s syndrome screening in at-risk populations: a prospective multicenter study
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37. Update of the German Diabetes Risk Score and external validation in the German MONICA/KORA study
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38. Association between Non-High-Density Lipoprotein Cholesterol Levels and the Incidence of Coronary Heart Disease among Japanese: The Circulatory Risk in Communities Study (CIRCS)
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39. Pre-Pregnancy Obesity vs. Other Risk Factors in Probability Models of Preeclampsia and Gestational Hypertension
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40. The Impact of C-Reactive Protein on Risk of Stroke, Stroke Subtypes, and Ischemic Heart Disease in Middle-Aged Japanese: the Japan Public Health Center-Based Study
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41. Optimizing prediction of back pain outcomes
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42. Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction
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43. Development and validation of a prediction algorithm for use by health professionals in prediction of recurrence of major depression
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44. Utility of genetic determinants of lipids and cardiovascular events in assessing risk
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45. Albuminuria as a predictor of cardiovascular outcomes in patients with acute myocardial infarction
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46. The Role of GDF-15 in Heart Failure Patients With Chronic Kidney Disease
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47. Serum activin A and B levels predict outcome in patients with acute respiratory failure: a prospective cohort study
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48. Assessing the incremental role of novel and emerging risk factors.
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49. Pulse Waves in the Lower Extremities as a Diagnostic Tool of Peripheral Arterial Disease and Predictor of Mortality in Elderly Chinese
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50. Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model
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51. Chapter 12: Systematic Review of Prognostic Tests
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52. A genetics-based biomarker risk algorithm for predicting risk of Alzheimer's disease
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53. Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
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57. Artificial Intelligence in Health Data Analysis: The Darwinian Evolution Theory Suggests an Extremely Simple and Zero-Cost Large-Scale Screening Tool For Prediabetes and Type 2 Diabetes
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58. Covariate‐adjusted measures of discrimination for survival data
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59. Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction
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