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Scholar Results 1 - 10 of about 15 citing Nelson: Predicting impaired glucose tolerance using common clinical information. (0.10 sec) 

Physical activity and diabetes prevention

- physiology.org
MJ LaMonte, SN Blair, TS Church - Journal of Applied Physiology, 2005 - Am Physiological Soc
Diabetes has reached epidemic proportions worldwide and is associated with a
large economic burden, increased risk of cardiovascular disease, and premature
mortality. Hyperglycemia is the hallmark clinical manifestation of diabetes ...
Cited by 70 - Related articles - BL Direct - All 6 versions

Using metabolic syndrome traits for efficient detection of impaired glucose tolerance

- partners.org [PDF]  - Free from Publisher
JB Meigs, K Williams, LM Sullivan, KJ Hunt, … - Diabetes Care, 2004 - Am Diabetes Assoc
RESEARCH DESIGN AND METHODS — We assessed the capacity of the metabolic
syndrome (MetS) to identify IGT in a cross-sectional analysis of 3,326 Caucasian
Framingham Offspring Study (FOS), 1,168 Caucasian and 1,812 ...
Cited by 47 - Related articles - BL Direct - All 6 versions

Evidence for metabolic and reproductive phenotypes in mothers of women with polycystic …

- nih.gov
S Sam, RS Legro, PA Essah, T Apridonidze, A … - Proceedings of the National Academy of Sciences, 2006 - National Acad Sciences
Dyslipidemia is a feature of polycystic ovary syndrome (PCOS), but its
pathogenesis remains controversial. We performed this study of mothers of women
with PCOS to test the hypothesis that dyslipidemia is a heritable trait in ...
Cited by 30 - Related articles - BL Direct - All 10 versions

A review of the economic evidence for acarbose in the prevention of diabetes and …


RG Josse, AJ McGuire, GB Saal - Int J Clin Pract, 2006 - interscience.wiley.com
The highly prevalent, prediabetic condition of impaired glucose tolerance (IGT)
confers a high risk for type 2 diabetes mellitus (T2DM) and cardiovascular
disease (CVD). There is an emerging body of cost-effectiveness literature ...
Cited by 7 - Related articles - All 5 versions

A predictive neural network control approach in diabetes management by insulin …


MF Alamaireh - … and Communication Technologies, 2006. ICTTA'06. …, 2006 - ieeexplore.ieee.org
Abstract In this paper, a neural network based predictive control structure is
proposed and applied to treat the problem of diabetes management. The control
approach is to predict future plant behavior, hence it specifies accurate ...
Cited by 5 - Related articles

Metabolic syndrome and prediabetes


A Babu, L Fogelfeld - Disease-a-Month, 2006 - Elsevier
The clustering of common conditions like hyperglycemia, hypertension, and
dyslipidemia was first brought to attention by Gerald Reaven in the Banting
lecture, 1998, 1 and was called Syndrome X or the Insulin Resistance ...
Cited by 5 - Related articles - All 2 versions

Guidelines for computer modeling of diabetes and its complications

- psu.edu [PDF]  - Free from Publisher
C Panel - Diabetes Care, 2004 - Am Diabetes Assoc
Decision making in medicine relies heavily on clinical studies, preferably
randomized controlled clinical trials. Although the evidence obtained from such
research is invaluable in guiding health care decisions, this source of ...
Cited by 3 - Related articles - All 5 versions

Reducing the Risk of Type 2 Diabetes-Early Identification of High-Risk Individuals and …


CY Pan - Current diabetes reviews, 2007 - ingentaconnect.com
Abstract: The severity of the type 2 diabetes epidemic is widely acknowledged.
Demographic, social, and cultural changes around the world are driving a
dramatic increase in the prevalence of type 2 diabetes. Consequently, there ...
Cited by 3 - Related articles - BL Direct - All 3 versions

Using common clinical data improves the prediction of abnormal glucose tolerance by the new …


F Hadaegh, H Harati, A Ghasemi, M Tohidi, A … - Diabetes Research and Clinical Practice, 2007 - Elsevier
Application of the new criteria decreased positive likelihood ratio (LR + ) of
IFG for detecting IGT (from 6.68 to 3.86) or dysglycemia (from 9.90 to 4.46) but
slightly improved their agreement (Kappa increased from 0.158 to 0.286 for ...
Cited by 2 - Related articles - All 9 versions

Age, BMI, and Race Are Less Important Than Random Plasma Glucose in Identifying Risk of …

- diabetesjournals.org
DC Ziemer, P Kolm, WS Weintraub, V … - Diabetes Care, 2008 - Am Diabetes Assoc
RESULTS—NIDDK/ADA indicators age >45 years and BMI >25 kg/m 2 provided
significant detection of both diabetes and dysglycemia (both AROCs 0.63), but
screening was better with continuous-variable models of age, BMI, and race ...
Cited by 1 - Related articles - BL Direct - All 6 versions


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