Sharon H. Saydah, Ph.D.

2002 Johns Hopkins University, Baltimore, MD 
Public Health
"Sharon Saydah"
Cross-listing: Epi Tree


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Frederick L. Brancati grad student 2002 Johns Hopkins (Epi Tree)
 (Hyperinsulinemia, abnormal glucose tolerance and subsequent risk of cancer.)
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Tuot DS, Lin F, Shlipak MG, et al. (2015) Potential Impact of Prescribing Metformin According to eGFR Rather Than Serum Creatinine. Diabetes Care. 38: 2059-67
Bardenheier BH, Imperatore G, Gilboa SM, et al. (2015) Trends in Gestational Diabetes Among Hospital Deliveries in 19 U.S. States, 2000-2010. American Journal of Preventive Medicine. 49: 12-9
Saydah SH, Imperatore G, Henkin L, et al. (2015) Trends and characteristics of self-reported case presentation of diabetes diagnosis among youth from 2002 to 2010: findings from the SEARCH for diabetes in youth study. Diabetes Care. 38: e84-5
Bullard KM, Ali MK, Imperatore G, et al. (2015) Receipt of Glucose Testing and Performance of Two US Diabetes Screening Guidelines, 2007-2012. Plos One. 10: e0125249
Patel SM, Cobb P, Saydah S, et al. (2015) Dietary sodium reduction does not affect circulating glucose concentrations in fasting children or adults: findings from a systematic review and meta-analysis. The Journal of Nutrition. 145: 505-13
Looker AC, Eberhardt MS, Saydah SH. (2015) Diabetes and fracture risk in older U.S. adults. Bone
Hoerger TJ, Simpson SA, Yarnoff BO, et al. (2015) The future burden of CKD in the United States: a simulation model for the CDC CKD Initiative. American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation. 65: 403-11
Hamman RF, Bell RA, Dabelea D, et al. (2014) The SEARCH for Diabetes in Youth study: rationale, findings, and future directions. Diabetes Care. 37: 3336-44
Banerjee T, Scherzer R, Powe NR, et al. (2014) Race and other risk factors for incident proteinuria in a national cohort of HIV-infected veterans. Journal of Acquired Immune Deficiency Syndromes (1999). 67: 145-52
Zhong VW, Pfaff ER, Beavers DP, et al. (2014) Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study. Pediatric Diabetes. 15: 573-84
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