K
Kenneth C. Williams
Researcher at Boston College
Publications - 179
Citations - 18079
Kenneth C. Williams is an academic researcher from Boston College. The author has contributed to research in topics: Simian immunodeficiency virus & Microglia. The author has an hindex of 67, co-authored 175 publications receiving 16827 citations. Previous affiliations of Kenneth C. Williams include McGill University & Dartmouth–Hitchcock Medical Center.
Papers
More filters
Journal ArticleDOI
The Metabolic Syndrome as Predictor of Type 2 Diabetes: The San Antonio Heart Study
TL;DR: Lowering the fasting glucose cutoff to 5.4 mmol/l improves the prediction of diabetes by the metabolic syndrome, and the NCEP definition performs better than the modified 1999 WHO definition.
Journal ArticleDOI
Does the Metabolic Syndrome Improve Identification of Individuals at Risk of Type 2 Diabetes and/or Cardiovascular Disease?
Michael P. Stern,Kenneth C. Williams,Clicerio González-Villalpando,Kelly J. Hunt,Steven M. Haffner +4 more
TL;DR: The metabolic syndrome is inferior to established predicting models for either type 2 diabetes or CVD and combined with either predicting model did not improve the prediction of either end point.
Journal ArticleDOI
Pioglitazone for Diabetes Prevention in Impaired Glucose Tolerance
Ralph A. DeFronzo,Devjit Tripathy,Dawn C. Schwenke,Dawn C. Schwenke,Mary Ann Banerji,George A. Bray,Thomas A. Buchanan,Stephen Clement,Robert R. Henry,Howard N. Hodis,Abbas E. Kitabchi,Wendy J. Mack,Sunder Mudaliar,Robert E. Ratner,Kenneth C. Williams,Frankie B. Stentz,Nicolas Musi,Peter D. Reaven +17 more
TL;DR: As compared with placebo, pioglitazone reduced the risk of conversion of impaired glucose tolerance to type 2 diabetes mellitus by 72% but was associated with significant weight gain and edema.
Journal ArticleDOI
Homeostasis model assessment of insulin resistance in relation to the incidence of cardiovascular disease: the San Antonio Heart Study.
TL;DR: A significant association between HOMA-IR and risk of CVD after adjustment for multiple covariates is found, however, additional studies are required, particularly among women and minority populations.
Journal ArticleDOI
Application of New Cholesterol Guidelines to a Population-Based Sample
Michael J. Pencina,Ann Marie Navar-Boggan,Ralph B. D'Agostino,Kenneth C. Williams,Benjamin Neely,Allan D. Sniderman,Eric D. Peterson +6 more
TL;DR: The number, and the risk-factor profile, of persons for whom statin therapy would be recommended under the new ACC–AHA guidelines, as compared with the guidelines of the Third Adult Treatment Panel (ATP III) of the National Cholesterol Education Program, are estimated.