ArticlePloS one2026
Cardiovascular risk prediction models for women: A systematic review protocol.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
8 authors.
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Abstract
purposeCardiovascular 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.
methodsThe 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.
conclusionsThis 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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