Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 106

2.
3.

Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2.

Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, Brindle P.

BMJ. 2008 Jun 28;336(7659):1475-82. doi: 10.1136/bmj.39609.449676.25. Epub 2008 Jun 23.

4.
5.

Ethnicity and prediction of cardiovascular disease: performance of QRISK2 and Framingham scores in a U.K. tri-ethnic prospective cohort study (SABRE--Southall And Brent REvisited).

Tillin T, Hughes AD, Whincup P, Mayet J, Sattar N, McKeigue PM, Chaturvedi N; SABRE Study Group..

Heart. 2014 Jan;100(1):60-7. doi: 10.1136/heartjnl-2013-304474. Epub 2013 Nov 1.

6.

Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study.

Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, May M, Brindle P.

BMJ. 2007 Jul 21;335(7611):136. Epub 2007 Jul 5.

8.

Performance of the QRISK cardiovascular risk prediction algorithm in an independent UK sample of patients from general practice: a validation study.

Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Brindle P.

Heart. 2008 Jan;94(1):34-9. Epub 2007 Oct 4.

PMID:
17916661
9.

Predicting the adverse risk of statin treatment: an independent and external validation of Qstatin risk scores in the UK.

Collins GS, Altman DG.

Heart. 2012 Jul;98(14):1091-7. doi: 10.1136/heartjnl-2012-302014. Epub 2012 Jun 11.

PMID:
22689714
10.
12.
13.

Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients With Stable Coronary Heart Disease.

Ganz P, Heidecker B, Hveem K, Jonasson C, Kato S, Segal MR, Sterling DG, Williams SA.

JAMA. 2016 Jun 21;315(23):2532-41. doi: 10.1001/jama.2016.5951.

PMID:
27327800
14.

Prediction of cardiovascular risk using Framingham, ASSIGN and QRISK2: how well do they predict individual rather than population risk?

van Staa TP, Gulliford M, Ng ES, Goldacre B, Smeeth L.

PLoS One. 2014 Oct 1;9(10):e106455. doi: 10.1371/journal.pone.0106455. eCollection 2014 Oct 1.

15.
16.

Cardiovascular risk prediction models for people with severe mental illness: results from the prediction and management of cardiovascular risk in people with severe mental illnesses (PRIMROSE) research program.

Osborn DP, Hardoon S, Omar RZ, Holt RI, King M, Larsen J, Marston L, Morris RW, Nazareth I, Walters K, Petersen I.

JAMA Psychiatry. 2015 Feb;72(2):143-51. doi: 10.1001/jamapsychiatry.2014.2133.

18.

Performance of Framingham cardiovascular risk scores by ethnic groups in New Zealand: PREDICT CVD-10.

Riddell T, Wells S, Jackson R, Lee AW, Crengle S, Bramley D, Ameratunga S, Pylypchuk R, Broad J, Marshall R, Kerr A.

N Z Med J. 2010 Feb 19;123(1309):50-61.

PMID:
20186242
20.

The performance of seven QPrediction risk scores in an independent external sample of patients from general practice: a validation study.

Hippisley-Cox J, Coupland C, Brindle P.

BMJ Open. 2014 Aug 28;4(8):e005809. doi: 10.1136/bmjopen-2014-005809.

Supplemental Content

Support Center