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Items: 1 to 20 of 96

1.

Risk assessment tools for identifying individuals at risk of developing type 2 diabetes.

Buijsse B, Simmons RK, Griffin SJ, Schulze MB.

Epidemiol Rev. 2011;33:46-62. doi: 10.1093/epirev/mxq019. Epub 2011 May 27. Review.

2.

Cardiovascular risk assessment scores for people with diabetes: a systematic review.

Chamnan P, Simmons RK, Sharp SJ, Griffin SJ, Wareham NJ.

Diabetologia. 2009 Oct;52(10):2001-14. doi: 10.1007/s00125-009-1454-0. Epub 2009 Jul 24. Review.

3.

Risk models and scores for type 2 diabetes: systematic review.

Noble D, Mathur R, Dent T, Meads C, Greenhalgh T.

BMJ. 2011 Nov 28;343:d7163. doi: 10.1136/bmj.d7163. Review.

4.

Recommendations from the EGAPP Working Group: does genomic profiling to assess type 2 diabetes risk improve health outcomes?

Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Working Group; Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Working Group.

Genet Med. 2013 Aug;15(8):612-7. doi: 10.1038/gim.2013.9. Epub 2013 Mar 14.

PMID:
23492873
5.

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
6.

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
7.

Impaired glucose tolerance and impaired fasting glycaemia: the current status on definition and intervention.

Unwin N, Shaw J, Zimmet P, Alberti KG.

Diabet Med. 2002 Sep;19(9):708-23. Review.

PMID:
12207806
8.
9.

Susceptibility to type 2 diabetes mellitus--from genes to prevention.

Hivert MF, Vassy JL, Meigs JB.

Nat Rev Endocrinol. 2014 Apr;10(4):198-205. doi: 10.1038/nrendo.2014.11. Epub 2014 Feb 18. Review.

10.

[Validity of risk scores to predict type 2 diabetes in the Dutch population].

Beulens JW, Abbasi A, Peelen LM, Spijkerman A, van der A DL, Corpeleijn E, Bakker SJ, van der Schouw YT.

Ned Tijdschr Geneeskd. 2013;157(36):A6502. Dutch.

PMID:
24004929
11.

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
12.

Primary care screening for individuals with impaired glucose metabolism with focus on impaired glucose tolerance.

Hellgren MI, Daka B, Jansson PA, Lindblad U.

Prim Care Diabetes. 2015 Aug;9(4):261-6. doi: 10.1016/j.pcd.2014.10.009. Epub 2014 Nov 24.

PMID:
25466159
13.

Screening for type 2 diabetes: literature review and economic modelling.

Waugh N, Scotland G, McNamee P, Gillett M, Brennan A, Goyder E, Williams R, John A.

Health Technol Assess. 2007 May;11(17):iii-iv, ix-xi, 1-125. Review.

14.

Derivation and validation of diabetes risk score for urban Asian Indians.

Ramachandran A, Snehalatha C, Vijay V, Wareham NJ, Colagiuri S.

Diabetes Res Clin Pract. 2005 Oct;70(1):63-70. Epub 2005 Apr 15.

PMID:
16126124
15.

AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures.

Chen L, Magliano DJ, Balkau B, Colagiuri S, Zimmet PZ, Tonkin AM, Mitchell P, Phillips PJ, Shaw JE.

Med J Aust. 2010 Feb 15;192(4):197-202. Erratum in: Med J Aust. 2010 Mar 1;192(5):274.

PMID:
20170456
16.

Adherence to NICE guidelines on diabetes prevention in the UK: Effect on patient knowledge and perceived risk.

Guess ND, Caengprasath N, Dornhorst A, Frost GS.

Prim Care Diabetes. 2015 Dec;9(6):407-11. doi: 10.1016/j.pcd.2015.04.005. Epub 2015 May 13.

PMID:
25979539
17.

The utility of diabetes risk score items as predictors of incident type 2 diabetes in Asian populations: An evidence-based review.

Hu PL, Koh YL, Tan NC.

Diabetes Res Clin Pract. 2016 Dec;122:179-189. doi: 10.1016/j.diabres.2016.10.019. Epub 2016 Nov 2. Review.

PMID:
27865165
18.

Feasibility of the FINDRISC questionnaire to identify individuals with impaired glucose tolerance in Swedish primary care. A cross-sectional population-based study.

Hellgren MI, Petzold M, Björkelund C, Wedel H, Jansson PA, Lindblad U.

Diabet Med. 2012 Dec;29(12):1501-5. doi: 10.1111/j.1464-5491.2012.03664.x.

PMID:
22443428
19.

Comparative performance of diabetes-specific and general population-based cardiovascular risk assessment models in people with diabetes mellitus.

Echouffo-Tcheugui JB, Kengne AP.

Diabetes Metab. 2013 Oct;39(5):389-96. doi: 10.1016/j.diabet.2013.07.002. Epub 2013 Sep 27. Review.

PMID:
24080092
20.

The ARIC predictive model reliably predicted risk of type II diabetes in Asian populations.

Chin CW, Chia EH, Ma S, Heng D, Tan M, Lee J, Tai ES, Salim A.

BMC Med Res Methodol. 2012 Apr 13;12:48. doi: 10.1186/1471-2288-12-48.

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