Combined Measurement of Fasting Plasma Glucose and A1C Is Effective for the Prediction of Type 2 Diabetes
Open accessAbstract
OBJECTIVE: We prospectively assessed whether the combined measurements of fasting plasma glucose (FPG) and A1C were effective for predicting type 2 diabetes. RESEARCH DESIGN AND METHODS: Study participants included 6,736 nondiabetic Japanese men aged 40-55 years. Type 2 diabetes was diagnosed in those who had an FPG >or=126 mg/dl or who were being treated with an oral antidiabetic agent or insulin. The models including FPG, A1C, and both were compared using the area under the receiver operating characteristic (AUROC) curves. RESULTS: During the 4-year follow-up period, we confirmed 659 diabetes cases. In multivariate analysis, both FPG and A1C were independently associated with the risk of type 2 diabetes. The model including both FPG and A1C had a greater AUROC curve than that including FPG alone (0.853 vs. 0.818; P < 0.001) or A1C alone (0.853 vs. 0.771; P < 0.001). CONCLUSIONS: The combined measurement of FPG and A1C was effective for predicting type 2 diabetes.
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Incidence of diabetes in people with A1C levels in the 6.0 to <6.5% range is more than 10 times that of people with lower levels.
“Indeed, incidence of diabetes in people with A1C levels in this range is more than 10 times that of people with lower levels (4–7).”
From Diagnosis and classification of diabetes mellitus (2013) · cites this paper as [6]
People within the A1C range of 5.5-6.0% have a 5-year cumulative incidence of diabetes that ranges from 12 to 25%.
“Prospective studies indicate that people within the A1C range of 5.5–6.0% have a 5-year cumulative incidence of diabetes that ranges from 12 to 25% (4–7), which is appreciably (three- to eightfold) higher than incidence in the U.S. population as a whole (8).”
From Diagnosis and classification of diabetes mellitus (2013) · cites this paper as [6]
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Cites
Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302 · see citing works
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,320 · see citing works
Standards of Medical Care in Diabetes
Power, D. V. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1593 · Cited by 8,672 · see citing works
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220 · see citing works
Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction
Cook, N. R. (2007) · Circulation · doi:10.1161/circulationaha.106.672402 · Cited by 2,123 · see citing works
Primer of Applied Regression & Analysis of Variance
Glantz, S. A., & Slinker, B. K. (1990) · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno · Cited by 1,201 · see citing works
Standards of Medical Care in Diabetes—2007
American Diabetes Association (2007) · Diabetes Care · doi:10.2337/dc07-s004 · Cited by 1,190 · see citing works
Statistical Evaluation of Prognostic versus Diagnostic Models: Beyond the ROC Curve
Cook, N. R. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2007.096529 · Cited by 691 · see citing works
Association, A. D. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.775 · Cited by 464 · see citing works
Utility of hemoglobin A1c in predicting diabetes risk
Edelman, D., Olsen, M. K., Dudley, T. K., Harris, A. C., & Oddone, E. Z. (2004) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2004.40178.x · Cited by 213 · see citing works
Use of HbA1c in Predicting Progression to Diabetes in French Men and Women
Droumaguet, C., Balkau, B., Simon, D., Caces, E., Tichet, J., Charles, M. A., Eschwege, E., & the DESIR Study Group (2006) · Diabetes Care · doi:10.2337/dc05-2525 · Cited by 159 · see citing works
Qaseem, A., Vijan, S. S., Snow, V. T., Cross, J. T., Weiss, K. B., & Owens, D. K. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-6-200709180-00012 · Cited by 157 · see citing works
Ko, G. T. C., Chan, J. C. N., Yeung, M. W., Chow, C., Tsang, L. W. W., Li, J. K. Y., So, W.-Y., Wai, H. P. S., & Cockram, C. S. (1998) · Diabetes Care · doi:10.2337/diacare.21.8.1221 · Cited by 120 · see citing works
Liver Enzymes Compared With Alcohol Consumption in Predicting the Risk of Type 2 Diabetes
Satō, K., Hayashi, T., Nakamura, Y., Harita, N., Yoneda, T., Endo, G., & Kambe, H. (2008) · Diabetes Care · doi:10.2337/dc07-2184 · Cited by 70 · see citing works
Self-citationWalking to Work Is an Independent Predictor of Incidence of Type 2 Diabetes in Japanese Men
Satō, K., Hayashi, T., Kambe, H., Nakamura, Y., Harita, N., Endo, G., & Yoneda, T. (2007) · Diabetes Care · doi:10.2337/dc07-0090 · Cited by 64 · see citing works
Self-citationShima, K., Oshima, I., Nagamine, Y., Endo, J., Oimomi, M., Omori, Y., Katayama, Y., Kanazawa, Y., Kawai, T., Kawamori, R., et al. (1994) · Tōnyōbyō/Tounyoubyou · Cited by 32 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [6]Tominaga M Atsumi Y Amemiya S Igarashi M Ishibashi M Umemoto M Okahashi M Kuwa K Koka K Sanke T Sugo A Takei I Nagamine Y Miyashita T: Comment on the consensus statement on the worldwide standardization of the hemoglobin A1C measurement from American Diabetes Association, European Association for the Study of Diabetes, International Federation of Clinical Chemistry and Laboratory Medicine and International Diabetes Federation. Japanese Journal of Clin Chem 2: 310– 313, 2007 [in Japanese]
- [10]Hosmer DW Lemeshow S: Applied Logistic Reggression. 2nd ed. New York, John Wiley and Sons, 2000
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- Authors
- Sato, K. K., Hayashi, T., Harita, N., Yoneda, T., Nakamura, Y., Endo, G., & Kambe, H.
- Affiliations
- Department of Preventive Medicine and Environmental Health, Osaka City University Graduate School of Medicine, Osaka, Japan;
- Osaka City University (JP)
- Nippon Telegraph And Telephone West Corporation (Japan) (JP)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2009-01-08
- Volume
- 32
- Issue
- 4
- Pages
- 644-646
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2660452
- OpenAlex
- W2037910887
- Cited by
- 112
- References
- 16
- Citations by year
- 2024: 1 · 2023: 5 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 9 · 2016: 11 · 2015: 10 · 2014: 8 · 2013: 8 · 2012: 18
- FWCI
- 11.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Japan Diabetes Society
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- type 2 diabetes, fasting blood glucose, HbA1c, diabetes prediction, risk prediction model, non-diabetic men, Japanese men
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Follow-Up Studies, Glycated Hemoglobin, Humans, Japan, Male, Middle Aged, Predictive Value of Tests, ROC Curve, Reproducibility of Results
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