Cardiovascular risk in patients with type 2 diabetes: A systematic review of prediction models
| العنوان: | Cardiovascular risk in patients with type 2 diabetes: A systematic review of prediction models |
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| المؤلفون: | Berta Ibáñez-Beroiz, Mónica Enguita-Germán, Arkaitz Galbete, Julián Librero, Koldo Cambra, Ibai Tamayo |
| المساهمون: | Universidad Pública de Navarra. Departamento de Ciencias de la Salud, Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas, Nafarroako Unibertsitate Publikoa. Osasun Zientziak Saila, Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematikak Saila |
| المصدر: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Population, Type 2 diabetes, Prediction models, Risk prediction models, Endocrinology, Risk Factors, Diabetes mellitus, Validation, Covariate, Internal Medicine, medicine, Humans, In patient, Intensive care medicine, education, Cardiovascular risk factors, education.field_of_study, business.industry, General Medicine, medicine.disease, Prognosis, Data extraction, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Heart Disease Risk Factors, business, Predictive modelling |
| الوصف: | Aims: to identify all cardiovascular disease risk prediction models developed in patients with type 2 diabetes or in the general population with diabetes as a covariate updating previous studies, describing model performance and analysing both their risk of bias and their applicability. Methods: a systematic search for predictive models of cardiovascular risk was performed in PubMed. The CHARMS and PROBAST guidelines for data extraction and for the assessment of risk of bias and applicability were followed. Google Scholar citations of the selected articles were reviewed to identify studies that conducted external validations. Results: the titles of 10,556 references were extracted to ultimately identify 19 studies with models developed in a population with diabetes and 46 studies in the general population. Within models developed in a population with diabetes, only six were classified as having a low risk of bias, 17 had a favourable assessment of applicability, 11 reported complete model information, and also 11 were externally validated. Conclusions: there exists an overabundance of cardiovascular risk prediction models applicable to patients with diabetes, but many have a high risk of bias due to methodological shortcomings and independent validations are scarce. We recommend following the existing guidelines to facilitate their applicability. This work has received funding from the Instituto de Salud Carlos III, Spain through grant PI15/02196 and via CONCEPT Project (grants PI19/00154, PI19/00306, PI19/00381, PI19/00056, PI20/00783). It has also received funding from the Research Network on Health Services in Chronic Diseases-REDISSEC grant RD16/0001/0014, a Spanish Network supported by Carlos III Health Institute and the European Regional Development Funding (FEDER). |
| وصف الملف: | application/pdf |
| تدمد: | 1872-8227 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72b4a28af7166b628904d0becd5bd3d8 https://pubmed.ncbi.nlm.nih.gov/34648890 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....72b4a28af7166b628904d0becd5bd3d8 |
| قاعدة البيانات: | OpenAIRE |
Full Text via ClinicalKey | تدمد: | 18728227 |
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