Literature DB >> 6702817

Effectiveness of glycosylated hemoglobin, fasting plasma glucose, and a single post load plasma glucose level in population screening for glucose intolerance.

M Modan, H Halkin, A Karasik, A Lusky.   

Abstract

Five shortcut methods of population screening for glucose intolerance (impaired glucose tolerance and non-insulin-dependent diabetes mellitus) were assessed for effectiveness: 1) glycosylated hemoglobin concentration (HbA1), 2) fasting plasma glucose level, 3) combinations of fasting plasma glucose and HbA1, 4) plasma glucose one hour post oral glucose load, and 5) plasma glucose two hour post oral glucose load. In a sample of the Israeli Jewish population aged 40-70 years, 2040 participants in the Israel Study of Glucose Intolerance, Obesity and Hypertension, who were not known to be diabetic, underwent an oral glucose tolerance test based on three blood samples (fasting, one hour, and two hour post oral glucose load). In 1058 of the subjects, HbA1 was also measured, and was found to increase significantly (P less than 0.001) with increasing glucose intolerance, but with extensive overlap of ranges, even between normals and newly found diabetics. Fasting plasma glucose was more effective than HbA1 in screening for both impaired glucose tolerance and diabetes by its higher specificity and predictive value of a positive test at comparable sensitivity levels. Combinations of HbA1 and fasting plasma glucose did not improve prediction over fasting plasma glucose alone. As observed in other studies, the screening effectiveness of fasting plasma glucose was also unsatisfactory, either post load glucose level being more effective. Plasma glucose level two hour post load was better for detection of diabetes alone. Plasma glucose level one hour post load was more effective at detecting the total group of glucose intolerance, but did not discriminate well between impaired tolerance and diabetes. A cost-risk-benefit evaluation suggests that a full three-sample oral glucose tolerance test is the best method in screening for both intolerance categories.

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Year:  1984        PMID: 6702817     DOI: 10.1093/oxfordjournals.aje.a113761

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  18 in total

1.  Use of HbA(1c) in screening for Cuban-Americans with undiagnosed type 2 diabetes.

Authors:  Fatma G Huffman; Joel C Exebio; Gustavo G Zarini; Cristobal Exebio
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2.  Hemoglobin A1c predicts diabetes but not cardiovascular disease in nondiabetic women.

Authors:  Aruna D Pradhan; Nader Rifai; Julie E Buring; Paul M Ridker
Journal:  Am J Med       Date:  2007-08       Impact factor: 4.965

3.  Recent trends in the epidemiology of diabetes mellitus in European and Mediterranean countries.

Authors:  L Papoz
Journal:  Acta Diabetol       Date:  1991       Impact factor: 4.280

4.  Coronary heart disease risk factors and cigarette smoking among rural African Americans.

Authors:  J P Willems; D E Hunt; J B Schorling
Journal:  J Natl Med Assoc       Date:  1997-01       Impact factor: 1.798

5.  Intra-individual variation of glucose, specific insulin and proinsulin concentrations measured by two oral glucose tolerance tests in a general Caucasian population: the Hoorn Study.

Authors:  J M Mooy; P A Grootenhuis; H de Vries; P J Kostense; C Popp-Snijders; L M Bouter; R J Heine
Journal:  Diabetologia       Date:  1996-03       Impact factor: 10.122

Review 6.  Evidence for current diagnostic criteria of diabetes mellitus.

Authors:  Ritesh Kumar; Lakshmana Perumal Nandhini; Sadishkumar Kamalanathan; Jayaprakash Sahoo; Muthupillai Vivekanadan
Journal:  World J Diabetes       Date:  2016-09-15

Review 7.  A1C level and future risk of diabetes: a systematic review.

Authors:  Xuanping Zhang; Edward W Gregg; David F Williamson; Lawrence E Barker; William Thomas; Kai McKeever Bullard; Giuseppina Imperatore; Desmond E Williams; Ann L Albright
Journal:  Diabetes Care       Date:  2010-07       Impact factor: 19.112

8.  Glycated haemoglobin predicts progression to diabetes mellitus in Pima Indians with impaired glucose tolerance.

Authors:  R R Little; J D England; H M Wiedmeyer; R W Madsen; D J Pettitt; W C Knowler; D E Goldstein
Journal:  Diabetologia       Date:  1994-03       Impact factor: 10.122

9.  Effect of past and concurrent body mass index on prevalence of glucose intolerance and type 2 (non-insulin-dependent) diabetes and on insulin response. The Israel study of glucose intolerance, obesity and hypertension.

Authors:  M Modan; A Karasik; H Halkin; Z Fuchs; A Lusky; A Shitrit; B Modan
Journal:  Diabetologia       Date:  1986-02       Impact factor: 10.122

10.  The prevalence of diabetes mellitus and an assessment of methods of detection among a community of elderly Chinese in Hong Kong.

Authors:  J Woo; R Swaminathan; C Cockram; C P Pang; Y T Mak; S Y Au; J Vallance-Owen
Journal:  Diabetologia       Date:  1987-11       Impact factor: 10.122

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