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Literature DB >> 25901046

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

Jessica K Paulus¹, Nilay D Shah², David M Kent².

Abstract

Entities: Chemical Disease Gene Species

Keywords: cardiovascular models; gender identity; health disparities; physician's practice patterns; sex; women

Mesh：

Year: 2015 PMID： 25901046 PMCID： PMC4440837 DOI： 10.1161/CIRCOUTCOMES.115.001842

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

× No keyword cloud information.

16 in total

1. Risk stratification of patients suspected of coronary artery disease: comparison of five different models.

Authors: Jesper M Jensen; Mette Voss; Vibeke B Hansen; Lone K Andersen; Peter B Johansen; Henrik Munkholm; Bjarne L Nørgaard
Journal: Atherosclerosis Date: 2011-11-25 Impact factor: 5.162

2. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography. A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance.

Authors: Allen J Taylor; Manuel Cerqueira; John McB Hodgson; Daniel Mark; James Min; Patrick O'Gara; Geoffrey D Rubin
Journal: Circulation Date: 2010-10-25 Impact factor: 29.690

3. Seroprevalence of six infectious diseases among adults in the United States by race/ethnicity: data from the third national health and nutrition examination survey, 1988--94.

Authors: Deanna Kruszon-Moran; Geraldine M McQuillan
Journal: Adv Data Date: 2005-03-09

Review 4. Gender disparity in cardiovascular disease: bias or biology?

Authors: Nanette K Wenger
Journal: Expert Rev Cardiovasc Ther Date: 2012-11

5. A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension.

Authors: Tessa S S Genders; Ewout W Steyerberg; Hatem Alkadhi; Sebastian Leschka; Lotus Desbiolles; Koen Nieman; Tjebbe W Galema; W Bob Meijboom; Nico R Mollet; Pim J de Feyter; Filippo Cademartiri; Erica Maffei; Marc Dewey; Elke Zimmermann; Michael Laule; Francesca Pugliese; Rossella Barbagallo; Valentin Sinitsyn; Jan Bogaert; Kaatje Goetschalckx; U Joseph Schoepf; Garrett W Rowe; Joanne D Schuijf; Jeroen J Bax; Fleur R de Graaf; Juhani Knuuti; Sami Kajander; Carlos A G van Mieghem; Matthijs F L Meijs; Maarten J Cramer; Deepa Gopalan; Gudrun Feuchtner; Guy Friedrich; Gabriel P Krestin; M G Myriam Hunink
Journal: Eur Heart J Date: 2011-03-02 Impact factor: 29.983

6. Sex and racial differences in the management of acute myocardial infarction, 1994 through 2002.

Authors: Viola Vaccarino; Saif S Rathore; Nanette K Wenger; Paul D Frederick; Jerome L Abramson; Hal V Barron; Ajay Manhapra; Susmita Mallik; Harlan M Krumholz
Journal: N Engl J Med Date: 2005-08-18 Impact factor: 91.245

7. Sex differences in the use of implantable cardioverter-defibrillators for primary and secondary prevention of sudden cardiac death.

Authors: Lesley H Curtis; Sana M Al-Khatib; Alisa M Shea; Bradley G Hammill; Adrian F Hernandez; Kevin A Schulman
Journal: JAMA Date: 2007-10-03 Impact factor: 56.272

7. Impact of sex-specific differences in calculating the pretest probability of obstructive coronary artery disease in symptomatic patients: a coronary computed tomographic angiography study.

Authors: Ying Zhang; Yujie Liu; Hong Zhang; Jia Zhou
Journal: Coron Artery Dis Date: 2019-03 Impact factor: 1.439

7 in total

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

1. Risk stratification of patients suspected of coronary artery disease: comparison of five different models.

3. Seroprevalence of six infectious diseases among adults in the United States by race/ethnicity: data from the third national health and nutrition examination survey, 1988--94.

Review 4. Gender disparity in cardiovascular disease: bias or biology?

5. A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension.

6. Sex and racial differences in the management of acute myocardial infarction, 1994 through 2002.

7. Sex differences in the use of implantable cardioverter-defibrillators for primary and secondary prevention of sudden cardiac death.

8. Value of the history and physical in identifying patients at increased risk for coronary artery disease.

9. Absence of sex bias in the referral of patients for cardiac catheterization.

10. Sex differences in use of interventional cardiology persist after risk adjustment.

Review 1. Field Synopsis of Sex in Clinical Prediction Models for Cardiovascular Disease.

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

3. The Predictive Factors on Extended Hospital Length of Stay in Patients with AMI: Laboratory and Administrative Data.

4. Field Synopsis of the Role of Sex in Stroke Prediction Models.

5. Implicit Gender Bias and the Use of Cardiovascular Tests Among Cardiologists.

Review 6. Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015.

7. Impact of sex-specific differences in calculating the pretest probability of obstructive coronary artery disease in symptomatic patients: a coronary computed tomographic angiography study.