Assessing the Accuracy of Cardiovascular Disease Prediction Using Female-Specific Risk Factors in Women Aged 45 to 69 Years in the UK Biobank Study

Although several female-specific factors have been shown to be early indicators of CVD risk, these factors should not be used to reclassify risk in women aged 45 to 69 years when considering whether to commence a blood pressure or lipid-lowering medication.

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Publication Details

Journal
Circulation Cardiovascular Quality and Outcomes
Published
2024-12-01
DOI
https://doi.org/10.1161/circoutcomes.123.010842
Citations
13
Primary Topic
Sex and Gender in Healthcare
Type
article
Field-Weighted Citation Impact
7.06
Controls
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article

Assessing the Accuracy of Cardiovascular Disease Prediction Using Female-Specific Risk Factors in Women Aged 45 to 69 Years in the UK Biobank Study

Mohammad Reza Baneshi, Hsin‐Fang Chung, Louise Forsyth Wilson, Jenny Doust et al.
13 citations
Circulation Cardiovascular Quality and Outcomes
Sex and Gender in Healthcare
7.06
article

Assessing the Accuracy of Cardiovascular Disease Prediction Using Female-Specific Risk Factors in Women Aged 45 to 69 Years in the UK Biobank Study

Mohammad Reza Baneshi, Hsin‐Fang Chung, Louise Forsyth Wilson, Jenny Doust, Gita D. Mishra
article en
13 citations

Abstract

Although several female-specific factors have been shown to be early indicators of CVD risk, these factors should not be used to reclassify risk in women aged 45 to 69 years when considering whether to commence a blood pressure or lipid-lowering medication.

Circulation Cardiovascular Quality and OutcomesVol. 17(12)
Australian e-Health Research Centre (AU)
Gender equality
Openalex Percentile: Top 2%
Sex and Gender in Healthcare
7.06
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