J
John Concato
Researcher at Yale University
Publications - 251
Citations - 30777
John Concato is an academic researcher from Yale University. The author has contributed to research in topics: Population & Prostate cancer. The author has an hindex of 61, co-authored 241 publications receiving 26637 citations. Previous affiliations of John Concato include Boston University & Veterans Health Administration.
Papers
More filters
Journal ArticleDOI
Importance of Functional Measures in Predicting Mortality Among Older Hospitalized Patients
TL;DR: Functional measures are strong predictors of 90-day and 2-year mortality after hospitalization, and these measures contribute substantially to the prognostic ability of 5 burden of illness indices.
Journal ArticleDOI
Million Veteran Program: A mega-biobank to study genetic influences on health and disease.
John Michael Gaziano,John Michael Gaziano,John Concato,Mary Brophy,Mary Brophy,Louis D. Fiore,Louis D. Fiore,Saiju Pyarajan,James Breeling,Stacey B. Whitbourne,Jennifer Deen,Colleen Shannon,Donald E. Humphries,Peter Guarino,Mihaela Aslan,Daniel Anderson,Rene LaFleur,Timothy R. Hammond,Kendra L. Schaa,Jennifer Moser,Grant D. Huang,Sumitra Muralidhar,Ronald M. Przygodzki,Timothy J. O'Leary +23 more
TL;DR: The Million Veteran Program, as an observational cohort study and mega-biobank in the Department of Veterans Affairs (VA) health care system, is designed to contribute to the development of precision medicine.
Journal ArticleDOI
Biomarkers for the diagnosis and risk stratification of acute kidney injury: a systematic review
Steven G. Coca,Steven G. Coca,Rajesh Yalavarthy,John Concato,John Concato,Chirag R. Parikh,Chirag R. Parikh +6 more
TL;DR: A systematic review of publications that evaluated the accuracy and reliability of serum and urinary biomarkers in human subjects when used for the diagnosis of established AKI or early AKI, or to risk stratify patients with AKI as discussed by the authors.
Journal ArticleDOI
Importance of events per independent variable in proportional hazards analysis I. Background, goals, and general strategy
TL;DR: The research is presented in two parts: Part I describes the data set and strategy used for the analyses, including the Monte Carlo simulation studies done to determine and compare the impact of various values of EPV in proportional hazards analytical results.
Journal ArticleDOI
Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.
Derek Klarin,Derek Klarin,Scott M. Damrauer,Scott M. Damrauer,Kelly Cho,Yan V. Sun,Tanya M. Teslovich,Jacqueline Honerlaw,David R. Gagnon,David R. Gagnon,Scott L. DuVall,Jin Li,Jin Li,Gina M. Peloso,Mark Chaffin,Aeron Small,Aeron Small,Jie Huang,Hua Tang,Julie A. Lynch,Yuk-Lam Ho,Dajiang J. Liu,Connor A. Emdin,Connor A. Emdin,Alexander H. Li,Jennifer E. Huffman,Jennifer Lee,Jennifer Lee,Pradeep Natarajan,Pradeep Natarajan,Rajiv Chowdhury,Danish Saleheen,Danish Saleheen,Marijana Vujkovic,Marijana Vujkovic,Aris Baras,Saiju Pyarajan,Saiju Pyarajan,Emanuele Di Angelantonio,Benjamin M. Neale,Benjamin M. Neale,Aliya Naheed,Amit Khera,Amit Khera,John Danesh,Kyong-Mi Chang,Kyong-Mi Chang,Gonçalo R. Abecasis,Cristen J. Willer,Frederick E. Dewey,David J. Carey,VA Million Veteran Program,VA Million Veteran Program,John Concato,J. Michael Gaziano,J. Michael Gaziano,J. Michael Gaziano,Christopher J. O'Donnell,Christopher J. O'Donnell,Philip S. Tsao,Philip S. Tsao,Sekar Kathiresan,Sekar Kathiresan,Daniel J. Rader,Peter W.F. Wilson,Peter W.F. Wilson,Themistocles L. Assimes,Themistocles L. Assimes +67 more
TL;DR: Analysis of genetic data and blood lipid measurements from over 300,000 participants in the Million Veteran Program identifies new associations for blood lipid traits and proposes novel indications for pharmaceutical inhibitors targeting PCSK9, ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease).