Predicting impaired glucose tolerance using common clinical information: data from the Third National Health and Nutrition Examination Survey.
about
Ten-year Diabetes Risk Forecast in the Capital of Jordan: Arab Diabetes Risk Assessment Questionnaire Perspective-A Strobe-Complaint ArticleMetabolic syndrome and the early detection of impaired glucose tolerance among professionals living in Beijing, China: a cross sectional study.A new public health tool for risk assessment of abnormal glucose levels.Diabetes prevalence and its risk factors in urban PondicherryA risk assessment model for type 2 diabetes in ChineseDiabetes prevalence and its risk factors in rural area of Tamil NaduEvidence for metabolic and reproductive phenotypes in mothers of women with polycystic ovary syndrome.A novel test for IGT utilizing metabolite markers of glucose tolerance.Age, BMI, and race are less important than random plasma glucose in identifying risk of glucose intolerance: the Screening for Impaired Glucose Tolerance Study (SIGT 5).Can HbA1c and one-hour glucose concentration in standard OGTT be used for evaluation of glucose homeostasis in childhood?The "metabolic syndrome" is less useful than random plasma glucose to screen for glucose intolerance.Screening for type 2 diabetes and dysglycemia.Risk score model of type 2 diabetes prediction for rural Chinese adults: the Rural Deqing Cohort Study.Performance of Indian Diabetes Risk Score (IDRS) as screening tool for diabetes in an urban slum.In which patients will performing an oral glucose tolerance test yield the highest rate of positive results?
P2860
Q28387551-2C6FBCD4-8234-4EF4-BF89-5E5EEF81FF2FQ33644612-6976F721-CED1-4E52-BBA9-BA367267848BQ33702057-E5102096-7CB2-4858-BF98-8A3ACD1EC234Q33730055-8E9C135A-B0DA-46E4-84C4-6A3947FFDBFDQ34015539-98F216EB-B523-451E-A259-114C2718D6B3Q34239506-A7C75CA4-9E04-49FB-86A1-3BADCBF048F1Q34598493-8013D606-E30C-4C9C-913F-370868D91A48Q35830440-32603649-8138-43D9-9EA6-BA64AE335BC2Q36936991-E829B13E-E649-4515-98B9-4C20AD30F5ADQ36983815-6EA198CC-B74A-44C7-A3CB-DFEBCD4DD602Q37090286-4672F8BE-FF99-4797-9CA8-B7780BCED8F3Q37882225-D9943197-8411-4884-BFF8-412C371157B1Q38802926-2C3D67D4-67B6-4840-875F-810FC3C3CD89Q47964188-4E3DEE31-990A-4929-B984-F8CEB84066BDQ51495996-FD4C1329-54B4-4699-89D3-C1F3DCB48EBB
P2860
Predicting impaired glucose tolerance using common clinical information: data from the Third National Health and Nutrition Examination Survey.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Predicting impaired glucose to ...... Nutrition Examination Survey.
@ast
Predicting impaired glucose to ...... Nutrition Examination Survey.
@en
type
label
Predicting impaired glucose to ...... Nutrition Examination Survey.
@ast
Predicting impaired glucose to ...... Nutrition Examination Survey.
@en
prefLabel
Predicting impaired glucose to ...... Nutrition Examination Survey.
@ast
Predicting impaired glucose to ...... Nutrition Examination Survey.
@en
P1433
P1476
Predicting impaired glucose to ...... Nutrition Examination Survey.
@en
P2093
Karin M Nelson
Third National Health and Nutrition Examination Survey
P304
P356
10.2337/DIACARE.26.7.2058
P407
P577
2003-07-01T00:00:00Z