{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T22:27:35Z","timestamp":1790116055676,"version":"4.0.1"},"reference-count":25,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>\n                    A\n                    <jats:sc>BSTRACT<\/jats:sc>\n                  <\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction and Objectives:<\/jats:title>\n                    <jats:p>Cardiovascular diseases are the leading cause of mortality worldwide, with the risk being exacerbated in patients with type 2 diabetes mellitus (T2DM). Traditionally, the Systematic coronary risk evaluation (SCORE) system has been used to estimate the 10-year risk of fatal cardiovascular events. However, in 2023, the European Society of Cardiology introduced SCORE2-Diabetes, a diabetes-specific model that incorporates disease-related variables. This study aimed to compare the cardiovascular risk estimates from the SCORE and SCORE2-diabetes algorithms in patients with type 2 diabetes in primary care, assessing adherence to Low-density Lipoprotein (LDL) therapeutic targets and the impact on cardiovascular risk management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This cross-sectional study evaluated 360 diabetic patients aged 40-65 years in a primary care unit in northern Portugal, comparing the cardiovascular risk estimated by the SCORE and SCORE2-diabetes models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The results showed that the SCORE model classified 95% of patients as high risk and 5% as very high risk, while the SCORE2-diabetes model categorized patients into four groups: 6% low risk, 30% moderate, 57% high, and 7% very high risk. Additionally, 58% of patients did not meet LDL therapeutic targets by SCORE2-Diabetes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The findings suggest that SCORE2-diabetes provides better discrimination of cardiovascular risk, allowing for more personalized treatment. Its integration into clinical systems could optimize decision-making, reduce therapeutic inertia, and improve clinical outcomes in patients with T2DM.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jfmpc.jfmpc_663_25","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T12:01:10Z","timestamp":1774008070000},"page":"904-911","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":1,"title":["SCORE2-diabetes vs SCORE for evaluation of cardiovascular risk in diabetic patients"],"prefix":"10.4103","volume":"15","author":[{"given":"Sara","family":"Leite","sequence":"first","affiliation":[{"name":"Anta Family Health Unit, Gaia and Espinho Local Health Unit, 4500-056 Espinho, Portugal"},{"name":"Department of Surgery and Physiology, Faculty of Medicine, Cardiovascular R & D Centre-UnIC@RISE, University of Porto, 4200-319 Porto, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel S.","family":"Barros","sequence":"additional","affiliation":[{"name":"Department of Surgery and Physiology, Faculty of Medicine, Cardiovascular R & D Centre-UnIC@RISE, University of Porto, 4200-319 Porto, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"In\u00eas","family":"Trindade","sequence":"additional","affiliation":[{"name":"Anta Family Health Unit, Gaia and Espinho Local Health Unit, 4500-056 Espinho, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carolina","family":"Carneiro","sequence":"additional","affiliation":[{"name":"Anta Family Health Unit, Gaia and Espinho Local Health Unit, 4500-056 Espinho, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joana","family":"Silva","sequence":"additional","affiliation":[{"name":"Anta Family Health Unit, Gaia and Espinho Local Health Unit, 4500-056 Espinho, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonieta","family":"Barbosa","sequence":"additional","affiliation":[{"name":"Anta Family Health Unit, Gaia and Espinho Local Health Unit, 4500-056 Espinho, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helena","family":"Milheiro","sequence":"additional","affiliation":[{"name":"Anta Family Health Unit, Gaia and Espinho Local Health Unit, 4500-056 Espinho, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,3,20]]},"reference":[{"key":"R2-20260325","doi-asserted-by":"crossref","first-page":"e93","DOI":"10.1161\/CIR.0000000000001123","article-title":"Heart disease and stroke statistics-2023 update: A report from the American Heart Association","volume":"147","author":"Tsao","year":"2023","journal-title":"Circulation"},{"key":"R3-20260325","doi-asserted-by":"crossref","first-page":"1736","DOI":"10.1016\/S0140-6736(18)32203-7","article-title":"Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: A systematic analysis for the Global Burden of Disease Study 2017","volume":"392","year":"2018","journal-title":"Lancet"},{"key":"R4-20260325","doi-asserted-by":"crossref","first-page":"2215","DOI":"10.1016\/S0140-6736(10)60484-9","article-title":"Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: A collaborative meta-analysis of 102 prospective studies","volume":"375","author":"Sarwar","year":"2010","journal-title":"Lancet"},{"key":"R5-20260325","doi-asserted-by":"crossref","first-page":"107843","DOI":"10.1016\/j.diabres.2019.107843","article-title":"Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition","volume":"157","author":"Saeedi","year":"2019","journal-title":"Diabetes Res Clin Pract"},{"key":"R6-20260325","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1161\/CIRCULATIONAHA.108.829176","article-title":"Trends in all-cause and cardiovascular disease mortality among women and men with and without diabetes mellitus in the Framingham Heart Study, 1950 to 2005","volume":"119","author":"Preis","year":"2009","journal-title":"Circulation"},{"key":"R7-20260325","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.2337\/dc11-1162","article-title":"Trends in death rates among U. 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