Cardiovascular risk prediction models for women: A systematic review protocol
4 affiliations
- 1Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
- 2The University of Ottawa, Ottawa, Ontario, Canada
- 3Library Services, The Ottawa Hospital, Ottawa, Ontario, Canada
- 4Bruyere Research Institute, Ottawa, Ontario, Canada
Abstract
Purpose: Cardiovascular disease remains a leading cause of morbidity and mortality in women. Cardiovascular risk prediction models are widely used to guide preventative management, although many do not incorporate female-specific risk factors. The aim of this review is to identify published cardiovascular risk prediction models for women or those which include female-specific predictors and to summarize the predictors and model performance. Methods: The protocol was developed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-P) guidelines. The protocol has been registered in PROSPERO (CRD420261420766). An update of the systematic review by Baart et al. will be performed by searching MEDLINE and EMBASE from July 27 2017 to May 2026 to identify primary articles reporting on the development and/or validation of models predicting incident cardiovascular disease in women. Data on model predictors, performance, validation and clinical usability will be extracted. Risk of bias will be assessed using PROBAST+AI. Findings will be synthesized descriptively although quantitative synthesis will be considered when sufficiently comparable studies are available. Conclusions: This systematic review will provide an updated synthesis of cardiovascular risk prediction models in women and summarize how female-specific risk factors are incorporated into contemporary risk assessment.
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BibTeX
@article{frank2026cardiovascular,
title = {{Cardiovascular risk prediction models for women: A systematic review protocol}},
author = {Cairina Frank and Hadi Tehfe and Charles Ghanem and Jade Choo-Foo and Ramtin Hakimjavadi and Hawre Jalal and Risa Shorr and Daniel Kobewka},
journal = {PLOS One},
year = {2026},
month = oct,
doi = {10.1371/journal.pone.0360860},
url = {https://doi.org/10.1371/journal.pone.0360860},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Cardiovascular risk prediction models for women: A systematic review protocol
AU - Cairina Frank
AU - Hadi Tehfe
AU - Charles Ghanem
AU - Jade Choo-Foo
AU - Ramtin Hakimjavadi
AU - Hawre Jalal
AU - Risa Shorr
AU - Daniel Kobewka
PY - 2026
DA - 2026/10/15
JO - PLOS One
DO - 10.1371/journal.pone.0360860
UR - https://doi.org/10.1371/journal.pone.0360860
AB - Purpose: Cardiovascular disease remains a leading cause of morbidity and mortality in women. Cardiovascular risk prediction models are widely used to guide preventative management, although many do not incorporate female-specific risk factors. The aim of this review is to identify published cardiovascular risk prediction models for women or those which include female-specific predictors and to summarize the predictors and model performance. Methods: The protocol was developed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-P) guidelines. The protocol has been registered in PROSPERO (CRD420261420766). An update of the systematic review by Baart et al. will be performed by searching MEDLINE and EMBASE from July 27 2017 to May 2026 to identify primary articles reporting on the development and/or validation of models predicting incident cardiovascular disease in women. Data on model predictors, performance, validation and clinical usability will be extracted. Risk of bias will be assessed using PROBAST+AI. Findings will be synthesized descriptively although quantitative synthesis will be considered when sufficiently comparable studies are available. Conclusions: This systematic review will provide an updated synthesis of cardiovascular risk prediction models in women and summarize how female-specific risk factors are incorporated into contemporary risk assessment.
SN - 1932-6203
ER -