Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk

Steve Yadlowsky; Rodney A. Hayward; Jeremy B. Sussman; Robyn L. McClelland; Yuan-I Min; Sanjay Basu

doi:10.7326/m17-3011

journal article Jul 03, 2018

Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk

Steve Yadlowsky

Rodney A. Hayward Jeremy B. Sussman Robyn L. McClelland

Yuan-I Min Sanjay Basu

Annals of Internal Medicine Vol. 169 No. 1 pp. 20-29 · American College of Physicians

View at Publisher Save 10.7326/m17-3011

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References

Details

Published: Jul 03, 2018
Vol/Issue: 169(1)
Pages: 20-29
License: View

Authors

S

Steve Yadlowsky

Stanford University, Stanford, California (S.Y.)

R

Rodney A. Hayward

University of Michigan and Center for Clinical Management Research at Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan (R.A.H., J.B.S.)

J

Jeremy B. Sussman

University of Michigan and Center for Clinical Management Research at Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan (R.A.H., J.B.S.)

R

Robyn L. McClelland

University of Washington, Seattle, Washington (R.L.M.)

Y

Yuan-I Min

University of Mississippi Medical Center and Jackson Heart Study, Jackson, Mississippi (Y.M.)

S

Sanjay Basu

Center for Primary Care and Outcomes Research and Center for Population Health Sciences at Stanford University, Stanford, California, and Center for Primary Care at Harvard Medical School, Boston, Massachusetts (S.B.)

Funding

National Heart, Lung, and Blood Institute Award: K08HL121056

National Institute on Minority Health and Health Disparities Award: DP2MD010478

Cite This Article

Steve Yadlowsky, Rodney A. Hayward, Jeremy B. Sussman, et al. (2018). Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk. Annals of Internal Medicine, 169(1), 20-29. https://doi.org/10.7326/m17-3011

Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk

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