A predictive model for progression of chronic kidney disease to kidney failure.
By N. Tangri, L. Stevens, J. Griffith, H. Tighiouart, O. Djurdjev, D. Naimark, A. Levin, A. Levey. Journal of the American Medical Association (JAMA), 2011
1,255 citations recorded by the source corpus.
Subfields: Nephrology
View Paper: https://www.semanticscholar.org/paper/73b98e3f4d27d4064f8b4f627df2fc249c86e01d
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In Nephrology
Citations in the corpus
- Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests (2016, methodology): “We included the labs associated with the most common LOINC codes for all of the labs used in the predictive models for kidney failure developed by Tangri et al. (2011) and the labs with high prevalence in the CKD cohort analyzed by Hagar et al. (2014).”
- Using recurrent neural network models for early detection of heart failure onset (2016, methodology): “…data have been widely applied to EHRs: modeling the progression of chronic kidney disease to kidney failure using the Cox proportional hazard model, 36 the progression of Alzheimer’s disease using the hidden Markov model 37 and fused group Lasso, 38 the progression of glaucoma using using a…”
- An updated overview of diabetic nephropathy: Diagnosis, prognosis, treatment goals and latest guidelines (2020, background): “88), and subgroup analysis confirmed that it performed equally well in people with and without diabetes.(69) In patients with more advanced stage G4 CKD, a risk prediction tool that includes a diagnosis of diabetes has been developed to simultaneously predict the 4-year risks of cardiovascular event”
- Multinational assessment of accuracy of equations for predicting risk of kidney failure: a meta-analysis (2016, neutral): “CRICe 3099 6 (4-7) 59 (11) 1720 (56) 1315 (42) 40 (11) 1866 (63) 796 49.”
- Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. (2016, methodology): “Therefore, the incremental value of histologic grade as an additional candidate predictor was evaluated, with C-index and calibration curve derived and the net reclassification improvement (NRI) calculated.(27,28)”
- Comparison of risk prediction using the CKD-EPI equation and the MDRD Study equation for estimated glomerular filtration rate (2012, neutral): “Information about ethical review of individual studies is available in the publications of the constituent cohorts.(21,24,27-69)”
- Defining and measuring completeness of electronic health records for secondary use (2013, positive): “Researchers may be interested in predicting, amongst other clinical phenomena, disease status and risk [36–38], readmission [39,40], or mortality [41,42].”