Literature DB >> 36245646

The Next Frontier: Biomarkers and Artificial Intelligence Predicting Cardiorenal Outcomes in Diabetic Kidney Disease.

Gregory L Braden1, Daniel L Landry1.   

Abstract

Entities:  

Keywords:  artificial intelligence; biomarkers; cardiorenal; diabetes and the kidney; diabetic CKD

Mesh:

Substances:

Year:  2022        PMID: 36245646      PMCID: PMC9528371          DOI: 10.34067/KID.0003322022

Source DB:  PubMed          Journal:  Kidney360        ISSN: 2641-7650


× No keyword cloud information.
  25 in total

1.  Risk Prediction for Early CKD in Type 2 Diabetes.

Authors:  Daniela Dunkler; Peggy Gao; Shun Fu Lee; Georg Heinze; Catherine M Clase; Sheldon Tobe; Koon K Teo; Hertzel Gerstein; Johannes F E Mann; Rainer Oberbauer
Journal:  Clin J Am Soc Nephrol       Date:  2015-07-14       Impact factor: 8.237

2.  Development of Risk Prediction Equations for Incident Chronic Kidney Disease.

Authors:  Robert G Nelson; Morgan E Grams; Shoshana H Ballew; Yingying Sang; Fereidoun Azizi; Steven J Chadban; Layal Chaker; Stephan C Dunning; Caroline Fox; Yoshihisa Hirakawa; Kunitoshi Iseki; Joachim Ix; Tazeen H Jafar; Anna Köttgen; David M J Naimark; Takayoshi Ohkubo; Gordon J Prescott; Casey M Rebholz; Charumathi Sabanayagam; Toshimi Sairenchi; Ben Schöttker; Yugo Shibagaki; Marcello Tonelli; Luxia Zhang; Ron T Gansevoort; Kunihiro Matsushita; Mark Woodward; Josef Coresh; Varda Shalev
Journal:  JAMA       Date:  2019-12-03       Impact factor: 56.272

3.  Circulating TNF receptors 1 and 2 predict stage 3 CKD in type 1 diabetes.

Authors:  Tomohito Gohda; Monika A Niewczas; Linda H Ficociello; William H Walker; Jan Skupien; Florencia Rosetti; Xavier Cullere; Amanda C Johnson; Gordon Crabtree; Adam M Smiles; Tanya N Mayadas; James H Warram; Andrzej S Krolewski
Journal:  J Am Soc Nephrol       Date:  2012-01-19       Impact factor: 10.121

4.  A predictive model for progression of chronic kidney disease to kidney failure.

Authors:  Navdeep Tangri; Lesley A Stevens; John Griffith; Hocine Tighiouart; Ognjenka Djurdjev; David Naimark; Adeera Levin; Andrew S Levey
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

5.  Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes.

Authors:  Bruce Neal; Vlado Perkovic; Kenneth W Mahaffey; Dick de Zeeuw; Greg Fulcher; Ngozi Erondu; Wayne Shaw; Gordon Law; Mehul Desai; David R Matthews
Journal:  N Engl J Med       Date:  2017-06-12       Impact factor: 91.245

6.  Urine Kidney Injury Biomarkers and Risks of Cardiovascular Disease Events and All-Cause Death: The CRIC Study.

Authors:  Meyeon Park; Chi-Yuan Hsu; Alan S Go; Harold I Feldman; Dawei Xie; Xiaoming Zhang; Theodore Mifflin; Sushrut S Waikar; Venkata S Sabbisetti; Joseph V Bonventre; Josef Coresh; Robert G Nelson; Paul L Kimmel; John W Kusek; Mahboob Rahman; Jeffrey R Schelling; Ramachandran S Vasan; Kathleen D Liu
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-02       Impact factor: 8.237

7.  Predictors of Kidney Disease Progression in Diabetes and Precision Medicine: Something Old, Something New, and Something Borrowed.

Authors:  George Vasquez-Rios; Steven G Coca
Journal:  J Am Soc Nephrol       Date:  2021-09       Impact factor: 14.978

8.  Plasma biomarkers improve prediction of diabetic kidney disease in adults with type 1 diabetes over a 12-year follow-up: CACTI study.

Authors:  Petter Bjornstad; Laura Pyle; David Z I Cherney; Richard J Johnson; Rachel Sippl; Randy Wong; Marian Rewers; Janet K Snell-Bergeon
Journal:  Nephrol Dial Transplant       Date:  2018-07-01       Impact factor: 5.992

9.  Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Authors:  Lili Chan; Girish N Nadkarni; Fergus Fleming; James R McCullough; Patricia Connolly; Gohar Mosoyan; Fadi El Salem; Michael W Kattan; Joseph A Vassalotti; Barbara Murphy; Michael J Donovan; Steven G Coca; Scott M Damrauer
Journal:  Diabetologia       Date:  2021-04-02       Impact factor: 10.122

Review 10.  Class effects of SGLT2 inhibitors on cardiorenal outcomes.

Authors:  Aaron Y Kluger; Kristen M Tecson; Andy Y Lee; Edgar V Lerma; Janani Rangaswami; Norman E Lepor; Michael E Cobble; Peter A McCullough
Journal:  Cardiovasc Diabetol       Date:  2019-08-05       Impact factor: 9.951

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.