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Prediction of morbidity and mortality in patients with type 2 diabetes.

Wells BJ, Roth R, Nowacki AS, Arrigain S, Yu C, Rosenkrans WA Jr, Kattan MW.

PeerJ. 2013 Jun 11;1:e87. doi: 10.7717/peerj.87. Print 2013.


Predicting 6-year mortality risk in patients with type 2 diabetes.

Wells BJ, Jain A, Arrigain S, Yu C, Rosenkrans WA Jr, Kattan MW.

Diabetes Care. 2008 Dec;31(12):2301-6. doi: 10.2337/dc08-1047. Epub 2008 Sep 22.


Estimation of 10-Year Risk of Coronary Heart Disease in Nepalese Patients with Type 2 Diabetes: Framingham Versus United Kingdom Prospective Diabetes Study.

Pokharel DR, Khadka D, Sigdel M, Yadav NK, Sapkota LB, Kafle R, Nepal S, Sapkota RM, Choudhary N.

N Am J Med Sci. 2015 Aug;7(8):347-55. doi: 10.4103/1947-2714.163642.


Deficiencies of cardiovascular risk prediction models for type 1 diabetes.

Zgibor JC, Piatt GA, Ruppert K, Orchard TJ, Roberts MS.

Diabetes Care. 2006 Aug;29(8):1860-5.


Prediction of 10-year coronary heart disease risk in Caribbean type 2 diabetic patients using the UKPDS risk engine.

Ezenwaka CE, Nwagbara E, Seales D, Okali F, Hussaini S, Raja B, Jones-LeCointe A, Sell H, Avci H, Eckel J.

Int J Cardiol. 2009 Mar 6;132(3):348-53. doi: 10.1016/j.ijcard.2007.12.005. Epub 2008 Jan 11.


Traditional Risk Factors Versus Biomarkers for Prediction of Secondary Events in Patients With Stable Coronary Heart Disease: From the Heart and Soul Study.

Beatty AL, Ku IA, Bibbins-Domingo K, Christenson RH, DeFilippi CR, Ganz P, Ix JH, Lloyd-Jones D, Omland T, Sabatine MS, Schiller NB, Shlipak MG, Skali H, Takeuchi M, Vittinghoff E, Whooley MA.

J Am Heart Assoc. 2015 Jul 6;4(7). pii: e001646. doi: 10.1161/JAHA.114.001646.


Predicting macro- and microvascular complications in type 2 diabetes: the Japan Diabetes Complications Study/the Japanese Elderly Diabetes Intervention Trial risk engine.

Tanaka S, Tanaka S, Iimuro S, Yamashita H, Katayama S, Akanuma Y, Yamada N, Araki A, Ito H, Sone H, Ohashi Y; Japan Diabetes Complications Study Group; Japanese Elderly Diabetes Intervention Trial Group.

Diabetes Care. 2013 May;36(5):1193-9. doi: 10.2337/dc12-0958. Epub 2013 Feb 12.


Development of a new diabetes risk prediction tool for incident coronary heart disease events: the Multi-Ethnic Study of Atherosclerosis and the Heinz Nixdorf Recall Study.

Yeboah J, Erbel R, Delaney JC, Nance R, Guo M, Bertoni AG, Budoff M, Moebus S, Jöckel KH, Burke GL, Wong ND, Lehmann N, Herrington DM, Möhlenkamp S, Greenland P.

Atherosclerosis. 2014 Oct;236(2):411-7. doi: 10.1016/j.atherosclerosis.2014.07.035. Epub 2014 Aug 14.


External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes-specific risk equations.

Bannister CA, Poole CD, Jenkins-Jones S, Morgan CL, Elwyn G, Spasic I, Currie CJ.

Diabetes Care. 2014 Feb;37(2):537-45. doi: 10.2337/dc13-1159. Epub 2013 Oct 2.


Evaluation of risk equations for prediction of short-term coronary heart disease events in patients with long-standing type 2 diabetes: the Translating Research into Action for Diabetes (TRIAD) study.

Lu SE, Beckles GL, Crosson JC, Bilik D, Karter AJ, Gerzoff RB, Lin Y, Ross SV, McEwen LN, Waitzfelder BE, Marrero D, Lasser N, Brown AF.

BMC Endocr Disord. 2012 Jul 9;12:12. doi: 10.1186/1472-6823-12-12.


A pen-and-paper coronary risk estimator for office use with patients with type 2 diabetes.

Christianson TJ, Bryant SC, Weymiller AJ, Smith SA, Montori VM.

Mayo Clin Proc. 2006 May;81(5):632-6.


The significant effect of diabetes duration on coronary heart disease mortality: the Framingham Heart Study.

Fox CS, Sullivan L, D'Agostino RB Sr, Wilson PW; Framingham Heart Study.

Diabetes Care. 2004 Mar;27(3):704-8.


UKPDS outcomes model 2: a new version of a model to simulate lifetime health outcomes of patients with type 2 diabetes mellitus using data from the 30 year United Kingdom Prospective Diabetes Study: UKPDS 82.

Hayes AJ, Leal J, Gray AM, Holman RR, Clarke PM.

Diabetologia. 2013 Sep;56(9):1925-33. doi: 10.1007/s00125-013-2940-y. Epub 2013 Jun 22.


Development and validation of a coronary risk prediction model for older U.S. and European persons in the Cardiovascular Health Study and the Rotterdam Study.

Koller MT, Leening MJ, Wolbers M, Steyerberg EW, Hunink MG, Schoop R, Hofman A, Bucher HC, Psaty BM, Lloyd-Jones DM, Witteman JC.

Ann Intern Med. 2012 Sep 18;157(6):389-97. doi: 10.7326/0003-4819-157-6-201209180-00002.


The HAS-BLED score has better prediction accuracy for major bleeding than CHADS2 or CHA2DS2-VASc scores in anticoagulated patients with atrial fibrillation.

Roldán V, Marín F, Manzano-Fernández S, Gallego P, Vílchez JA, Valdés M, Vicente V, Lip GY.

J Am Coll Cardiol. 2013 Dec 10;62(23):2199-204. doi: 10.1016/j.jacc.2013.08.1623. Epub 2013 Sep 18.


Recalculation of cardiovascular risk score as a surrogate marker of change in clinical care of diabetes patients: the Alphabet POEM project (Practice Of Evidence-based Medicine).

Lee JD, Morrissey JR, Patel V; Alphabet POEM Project (Practice of Evidence-Based Medicine).

Curr Med Res Opin. 2004 May;20(5):765-72.


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