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Items: 1 to 20 of 94

1.

Validation of a multimarker model for assessing risk of type 2 diabetes from a five-year prospective study of 6784 Danish people (Inter99).

Urdea M, Kolberg J, Wilber J, Gerwien R, Moler E, Rowe M, Jorgensen P, Hansen T, Pedersen O, Jørgensen T, Borch-Johnsen K.

J Diabetes Sci Technol. 2009 Jul 1;3(4):748-55.

2.

Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort.

Kolberg JA, Jørgensen T, Gerwien RW, Hamren S, McKenna MP, Moler E, Rowe MW, Urdea MS, Xu XM, Hansen T, Pedersen O, Borch-Johnsen K.

Diabetes Care. 2009 Jul;32(7):1207-12. doi: 10.2337/dc08-1935.

3.

Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: combined results of the Inter99 and Botnia studies.

Lyssenko V, Jørgensen T, Gerwien RW, Hansen T, Rowe MW, McKenna MP, Kolberg J, Pedersen O, Borch-Johnsen K, Groop L.

Diab Vasc Dis Res. 2012 Jan;9(1):59-67. doi: 10.1177/1479164111424762. Epub 2011 Nov 4.

PMID:
22058089
4.

Comparison of accuracy of diabetes risk score and components of the metabolic syndrome in assessing risk of incident type 2 diabetes in Inter99 cohort.

Shafizadeh TB, Moler EJ, Kolberg JA, Nguyen UT, Hansen T, Jorgensen T, Pedersen O, Borch-Johnsen K.

PLoS One. 2011;6(7):e22863. doi: 10.1371/journal.pone.0022863. Epub 2011 Jul 29.

5.

[Validation of the German Diabetes Risk Score with metabolic risk factors for type 2 diabetes].

Schulze MB, Boeing H, Häring HU, Fritsche A, Joost HG.

Dtsch Med Wochenschr. 2008 Apr;133(17):878-83. doi: 10.1055/s-2008-1075664. German.

PMID:
18415912
6.

Biomarkers in Type 2 diabetes: improving risk stratification with the PreDx ® Diabetes Risk Score.

Kolberg JA, Gerwien RW, Watkins SM, Wuestehube LJ, Urdea M.

Expert Rev Mol Diagn. 2011 Nov;11(8):775-92. doi: 10.1586/erm.11.63.

PMID:
22022939
7.

Cost-effectiveness of risk stratification for preventing type 2 diabetes using a multi-marker diabetes risk score.

Sullivan SD, Garrison LP Jr, Rinde H, Kolberg J, Moler EJ.

J Med Econ. 2011;14(5):609-16. doi: 10.3111/13696998.2011.602160. Epub 2011 Jul 11.

PMID:
21740291
8.

Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes and impaired glucose tolerance: the IGLOO (Impaired Glucose Tolerance and Long-Term Outcomes Observational) study.

Franciosi M, De Berardis G, Rossi MC, Sacco M, Belfiglio M, Pellegrini F, Tognoni G, Valentini M, Nicolucci A.

Diabetes Care. 2005 May;28(5):1187-94.

PMID:
15855587
9.

Development and validation of a risk-score model for subjects with impaired glucose tolerance for the assessment of the risk of type 2 diabetes mellitus-The STOP-NIDDM risk-score.

Tuomilehto J, Lindström J, Hellmich M, Lehmacher W, Westermeier T, Evers T, Brückner A, Peltonen M, Qiao Q, Chiasson JL.

Diabetes Res Clin Pract. 2010 Feb;87(2):267-74. doi: 10.1016/j.diabres.2009.11.011. Epub 2009 Dec 22.

PMID:
20022651
10.

Comparing incident diabetes as defined by fasting plasma glucose or by HbA(1c). The AusDiab, Inter99 and DESIR studies.

Soulimane S, Simon D, Shaw JE, Zimmet PZ, Vol S, Vistisen D, Magliano DJ, Borch-Johnsen K, Balkau B.

Diabet Med. 2011 Nov;28(11):1311-8. doi: 10.1111/j.1464-5491.2011.03403.x.

PMID:
21824186
11.

Performance of a multi-marker diabetes risk score in the Insulin Resistance Atherosclerosis Study (IRAS), a multi-ethnic US cohort.

Rowe MW, Bergman RN, Wagenknecht LE, Kolberg JA.

Diabetes Metab Res Rev. 2012 Sep;28(6):519-26. doi: 10.1002/dmrr.2305.

PMID:
22492485
12.

Two risk score models for predicting incident Type 2 diabetes in Japan.

Doi Y, Ninomiya T, Hata J, Hirakawa Y, Mukai N, Iwase M, Kiyohara Y.

Diabet Med. 2012 Jan;29(1):107-14. doi: 10.1111/j.1464-5491.2011.03376.x.

PMID:
21718358
13.

A Chinese diabetes risk score for screening of undiagnosed diabetes and abnormal glucose tolerance.

Liu M, Pan C, Jin M.

Diabetes Technol Ther. 2011 May;13(5):501-7. doi: 10.1089/dia.2010.0106. Epub 2011 Mar 15.

PMID:
21406016
14.

HbA1c, fasting plasma glucose and the prediction of diabetes: Inter99, AusDiab and D.E.S.I.R.

Soulimane S, Simon D, Shaw J, Witte D, Zimmet P, Vol S, Borch-Johnsen K, Magliano D, Vistisen D, Balkau B.

Diabetes Res Clin Pract. 2012 Jun;96(3):392-9. doi: 10.1016/j.diabres.2011.06.003. Epub 2011 Jul 7.

PMID:
21741107
15.

Protocol for ADDITION-PRO: a longitudinal cohort study of the cardiovascular experience of individuals at high risk for diabetes recruited from Danish primary care.

Johansen NB, Hansen AL, Jensen TM, Philipsen A, Rasmussen SS, Jørgensen ME, Simmons RK, Lauritzen T, Sandbæk A, Witte DR.

BMC Public Health. 2012 Dec 14;12:1078. doi: 10.1186/1471-2458-12-1078.

16.

Progression to impaired glucose regulation and diabetes in the population-based Inter99 study.

Engberg S, Vistisen D, Lau C, Glümer C, Jørgensen T, Pedersen O, Borch-Johnsen K.

Diabetes Care. 2009 Apr;32(4):606-11. doi: 10.2337/dc08-1869. Epub 2008 Dec 29. Erratum in: Diabetes Care. 2009 Sep;32(9):1751.

17.

Serum preadipocyte factor 1 concentrations and risk of developing diabetes: a nested case-control study.

Lee SH, Rhee M, Yang HK, Ha HS, Lee JH, Kwon HS, Park YM, Yim HW, Kang MI, Lee WC, Son HY, Yoon KH.

Diabet Med. 2016 May;33(5):631-8. doi: 10.1111/dme.12871. Epub 2015 Oct 5.

PMID:
26220259
18.

Studies of a genetic variant in HK1 in relation to quantitative metabolic traits and to the prevalence of type 2 diabetes.

Gjesing AP, Nielsen AA, Brandslund I, Christensen C, Sandbæk A, Jørgensen T, Witte D, Bonnefond A, Froguel P, Hansen T, Pedersen O.

BMC Med Genet. 2011 Jul 25;12:99. doi: 10.1186/1471-2350-12-99.

19.
20.

The development and validation of the Portuguese risk score for detecting type 2 diabetes and impaired fasting glucose.

Gray LJ, Barros H, Raposo L, Khunti K, Davies MJ, Santos AC.

Prim Care Diabetes. 2013 Apr;7(1):11-8. doi: 10.1016/j.pcd.2013.01.003. Epub 2013 Jan 26.

PMID:
23357741

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