A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods
- 31 March 2013
- journal article
- review article
- Published by Elsevier BV in Journal of Clinical Epidemiology
- Vol. 66 (3), 268-277
- https://doi.org/10.1016/j.jclinepi.2012.06.020
Abstract
No abstract availableKeywords
This publication has 45 references indexed in Scilit:
- The contribution of chronic kidney disease to the global burden of major noncommunicable diseasesKidney International, 2011
- Risk Assessment Tools for Identifying Individuals at Risk of Developing Type 2 DiabetesEpidemiologic Reviews, 2011
- Establishing the Global Kidney Disease Prevention Network (KDPN): A Position Statement From the National Kidney FoundationAmerican Journal of Kidney Diseases, 2011
- Root caries risk indicators: a systematic review of risk modelsCommunity Dentistry and Oral Epidemiology, 2010
- Assessing the Performance of Prediction ModelsEpidemiology, 2010
- A Simple Algorithm to Predict Incident Kidney DiseaseJAMA Internal Medicine, 2008
- A systematic review finds methodological improvements necessary for prognostic models in determining traumatic brain injury outcomesJournal of Clinical Epidemiology, 2008
- REporting recommendations for tumour MARKer prognostic studies (REMARK)British Journal of Cancer, 2005
- Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and HospitalizationThe New England Journal of Medicine, 2004
- Longitudinal Follow-up and Outcomes Among a Population With Chronic Kidney Disease in a Large Managed Care OrganizationArchives of Internal Medicine, 2004