Literature DB >> 28687570

Race and Ethnicity: A Part of the Equation for Personalized Clinical Decision Making?

Jessica K Paulus1, David M Kent2.   

Abstract

Entities:  

Keywords:  cardiovascular diseases; clinical decision making; ethnic groups; evidence-based medicine; race; risk factors

Mesh：

Year:  2017        PMID： 28687570      PMCID： PMC5558842          DOI： 10.1161/CIRCOUTCOMES.117.003823

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN： 1941-7713


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  7 in total

1.  Commentary: considerations for use of racial/ethnic classification in etiologic research.

Authors:  J S Kaufman; R S Cooper
Journal:  Am J Epidemiol       Date:  2001-08-15       Impact factor: 4.897

2.  Will value-based purchasing increase disparities in care?

Authors:  Andrew M Ryan
Journal:  N Engl J Med       Date:  2013-12-26       Impact factor: 91.245

3.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

4.  All else being equal, men and women are still not the same: using risk models to understand gender disparities in care.

Authors:  Jessica K Paulus; Nilay D Shah; David M Kent
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-04-21

5.  SCIENCE AND SOCIETY. Taking race out of human genetics.

Authors:  Michael Yudell; Dorothy Roberts; Rob DeSalle; Sarah Tishkoff
Journal:  Science       Date:  2016-02-05       Impact factor: 47.728

Review 6.  Decision analysis.

Authors:  S G Pauker; J P Kassirer
Journal:  N Engl J Med       Date:  1987-01-29       Impact factor: 91.245

7.  On the causal interpretation of race in regressions adjusting for confounding and mediating variables.

Authors:  Tyler J VanderWeele; Whitney R Robinson
Journal:  Epidemiology       Date:  2014-07       Impact factor: 4.822
  7 in total
  5 in total

1.  Effects of Race Are Rarely Included in Clinical Prediction Models for Cardiovascular Disease.

Authors:  Jessica K Paulus; Benjamin S Wessler; Christine M Lundquist; David M Kent
Journal:  J Gen Intern Med       Date:  2018-09       Impact factor: 5.128

2.  How Dissemination and Implementation Science Can Contribute to the Advancement of Learning Health Systems.

Authors:  Katy E Trinkley; P Michael Ho; Russell E Glasgow; Amy G Huebschmann
Journal:  Acad Med       Date:  2022-09-23       Impact factor: 7.840

3.  Development and Validation of a Model to Predict Anterior Segment Vision-Threatening Eye Disease Using Primary Care Clinical Notes.

Authors:  Karandeep Singh; Alexa Thibodeau; Leslie M Niziol; Tejpreet K Nakai; Jill E Bixler; Mariam Khan; Maria A Woodward
Journal:  Cornea       Date:  2021-10-05       Impact factor: 3.152

Review 4.  Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities.

Authors:  Jessica K Paulus; David M Kent
Journal:  NPJ Digit Med       Date:  2020-07-30

5.  Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study.

Authors:  Ramachandran S Vasan; Edwin van den Heuvel
Journal:  Lancet Digit Health       Date:  2022-01
  5 in total

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