Literature DB >> 22177444

Genetic risk prediction for CKD: a journey of a thousand miles.

Jeffrey B Kopp, Cheryl A Winkler.   

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Year:  2012        PMID: 22177444      PMCID: PMC3482429          DOI: 10.1053/j.ajkd.2011.11.011

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


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  28 in total

1.  Decision curve analysis: a discussion.

Authors:  Ewout W Steyerberg; Andrew J Vickers
Journal:  Med Decis Making       Date:  2008 Jan-Feb       Impact factor: 2.583

2.  MYH9 is a major-effect risk gene for focal segmental glomerulosclerosis.

Authors:  Jeffrey B Kopp; Michael W Smith; George W Nelson; Randall C Johnson; Barry I Freedman; Donald W Bowden; Taras Oleksyk; Louise M McKenzie; Hiroshi Kajiyama; Tejinder S Ahuja; Jeffrey S Berns; William Briggs; Monique E Cho; Richard A Dart; Paul L Kimmel; Stephen M Korbet; Donna M Michel; Michele H Mokrzycki; Jeffrey R Schelling; Eric Simon; Howard Trachtman; David Vlahov; Cheryl A Winkler
Journal:  Nat Genet       Date:  2008-09-14       Impact factor: 38.330

3.  Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors:  Nancy R Cook
Journal:  Circulation       Date:  2007-02-20       Impact factor: 29.690

4.  SCreening for Occult REnal Disease (SCORED): a simple prediction model for chronic kidney disease.

Authors:  Heejung Bang; Suma Vupputuri; David A Shoham; Philip J Klemmer; Ronald J Falk; Madhu Mazumdar; Debbie Gipson; Romulo E Colindres; Abhijit V Kshirsagar
Journal:  Arch Intern Med       Date:  2007-02-26

Review 5.  Improvement of cardiovascular risk prediction: time to review current knowledge, debates, and fundamentals on how to assess test characteristics.

Authors:  Michel Romanens; Franz Ackermann; John David Spence; Roger Darioli; Nicolas Rodondi; Roberto Corti; Georg Noll; Matthias Schwenkglenks; Michael Pencina
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2010-02

6.  Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: the RENAAL study.

Authors:  William F Keane; Zhongxin Zhang; Paulette A Lyle; Mark E Cooper; Dick de Zeeuw; Jean-Pierre Grunfeld; James P Lash; Janet B McGill; William E Mitch; Giuseppe Remuzzi; Shahnaz Shahinfar; Steven M Snapinn; Robert Toto; Barry M Brenner
Journal:  Clin J Am Soc Nephrol       Date:  2006-05-17       Impact factor: 8.237

7.  A simple algorithm to predict incident kidney disease.

Authors:  Abhijit V Kshirsagar; Heejung Bang; Andrew S Bomback; Suma Vupputuri; David A Shoham; Lisa M Kern; Philip J Klemmer; Madhu Mazumdar; Phyllis A August
Journal:  Arch Intern Med       Date:  2008-12-08

Review 8.  Renal risk scores: progress and prospects.

Authors:  M W Taal; B M Brenner
Journal:  Kidney Int       Date:  2008-03-05       Impact factor: 10.612

9.  Genotype score in addition to common risk factors for prediction of type 2 diabetes.

Authors:  James B Meigs; Peter Shrader; Lisa M Sullivan; Jarred B McAteer; Caroline S Fox; Josée Dupuis; Alisa K Manning; Jose C Florez; Peter W F Wilson; Ralph B D'Agostino; L Adrienne Cupples
Journal:  N Engl J Med       Date:  2008-11-20       Impact factor: 91.245

10.  Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study.

Authors:  Philippa J Talmud; Aroon D Hingorani; Jackie A Cooper; Michael G Marmot; Eric J Brunner; Meena Kumari; Mika Kivimäki; Steve E Humphries
Journal:  BMJ       Date:  2010-01-14
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  1 in total

Review 1.  Macrophage polarization in innate immune responses contributing to pathogenesis of chronic kidney disease.

Authors:  Hewang Lee; Michael B Fessler; Peng Qu; Jurgen Heymann; Jeffrey B Kopp
Journal:  BMC Nephrol       Date:  2020-07-13       Impact factor: 2.388

  1 in total

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