<HashMap><database>biostudies-literature</database><scores/><additional><submitter>SCORE2-Diabetes Working Group and the ESC Cardiovascular Risk Collaboration</submitter><funding>Kidney Research UK</funding><funding>GlaxoSmithKline</funding><funding>British Heart Foundation</funding><funding>British United Provident Association (BUPA) Foundation</funding><funding>National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre</funding><funding>Medical Research Council</funding><funding>National Institute for Health Research (NIHR)</funding><funding>Chief Scientist Office</funding><funding>Wellcome Trust</funding><funding>BHF Centre of Research Excellence</funding><pagination>2544-2556</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10361012</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>44(28)</volume><pubmed_abstract>&lt;h4>Aims&lt;/h4>To develop and validate a recalibrated prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes in Europe.&lt;h4>Methods and results&lt;/h4>SCORE2-Diabetes was developed by extending SCORE2 algorithms using individual-participant data from four large-scale datasets comprising 229 460 participants (43 706 CVD events) with type 2 diabetes and without previous CVD. Sex-specific competing risk-adjusted models were used including conventional risk factors (i.e. age, smoking, systolic blood pressure, total, and HDL-cholesterol), as well as diabetes-related variables (i.e. age at diabetes diagnosis, glycated haemoglobin [HbA1c] and creatinine-based estimated glomerular filtration rate [eGFR]). Models were recalibrat</pubmed_abstract><journal>European heart journal</journal><pubmed_title>SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe.</pubmed_title><pmcid>PMC10361012</pmcid><funding_grant_id>NIHR203312</funding_grant_id><funding_grant_id>JFDKcsf2/2017</funding_grant_id><funding_grant_id>RE/18/1/34212</funding_grant_id><funding_grant_id>SP/09/002</funding_grant_id><funding_grant_id>RG/18/13/33946</funding_grant_id><funding_grant_id>NIHR203769</funding_grant_id><funding_grant_id>HDR-9004</funding_grant_id><funding_grant_id>HDR-9005</funding_grant_id><funding_grant_id>MR/L003120/1</funding_grant_id><funding_grant_id>RG/13/13/30194</funding_grant_id><funding_grant_id>SP/18/3/33801</funding_grant_id><funding_grant_id>MC_UU_00017/3</funding_grant_id><funding_grant_id>MR/R007764/1</funding_grant_id><funding_grant_id>BRC-1215–20014</funding_grant_id><pubmed_authors>Willeit J</pubmed_authors><pubmed_authors>Volzke H</pubmed_authors><pubmed_authors>Willeit P</pubmed_authors><pubmed_authors>Stocker H</pubmed_authors><pubmed_authors>Azzopardi J</pubmed_authors><pubmed_authors>Rossing P</pubmed_authors><pubmed_authors>SCORE2-Diabetes Working Group and the ESC Cardiovascular Risk Collaboration</pubmed_authors><pubmed_authors>Vardas P</pubmed_authors><pubmed_authors>Hageman SHJ</pubmed_authors><pubmed_authors>Eliasson B</pubmed_authors><pubmed_authors>Du Y</pubmed_authors><pubmed_authors>Notdurfter M</pubmed_authors><pubmed_authors>Taylor O</pubmed_authors><pubmed_authors>Kaptoge S</pubmed_authors><pubmed_authors>Vlacho B</pubmed_authors><pubmed_authors>Taylor J</pubmed_authors><pubmed_authors>Poljicanin T</pubmed_authors><pubmed_authors>Prieto-Merino D</pubmed_authors><pubmed_authors>Heidemann C</pubmed_authors><pubmed_authors>Lavens A</pubmed_authors><pubmed_authors>Gillum RF</pubmed_authors><pubmed_authors>Gall T</pubmed_authors><pubmed_authors>Graham I</pubmed_authors><pubmed_authors>Walker MR</pubmed_authors><pubmed_authors>Holman N</pubmed_authors><pubmed_authors>Buble T</pubmed_authors><pubmed_authors>Visseren FLJ</pubmed_authors><pubmed_authors>Tilg H</pubmed_authors><pubmed_authors>Fumeron F</pubmed_authors><pubmed_authors>Urbancic-Rovan V</pubmed_authors><pubmed_authors>Magri CJ</pubmed_authors><pubmed_authors>Holleczek B</pubmed_authors><pubmed_authors>Kiechl S</pubmed_authors><pubmed_authors>Halle M</pubmed_authors><pubmed_authors>Mauricio D</pubmed_authors><pubmed_authors>Di Angelantonio E</pubmed_authors><pubmed_authors>Lawlor DA</pubmed_authors><pubmed_authors>Sascha R</pubmed_authors><pubmed_authors>Benedetti MM</pubmed_authors><pubmed_authors>Brenner H</pubmed_authors><pubmed_authors>Xu Z</pubmed_authors><pubmed_authors>Leitner C</pubmed_authors><pubmed_authors>Franch-Nadal J</pubmed_authors><pubmed_authors>Timmis A</pubmed_authors><pubmed_authors>Real J</pubmed_authors><pubmed_authors>Vistisen D</pubmed_authors><pubmed_authors>Schmidt CO</pubmed_authors><pubmed_authors>Dorr M</pubmed_authors><pubmed_authors>Herrington W</pubmed_authors><pubmed_authors>Stotl I</pubmed_authors><pubmed_authors>Mata-Cases M</pubmed_authors><pubmed_authors>Ference B</pubmed_authors><pubmed_authors>Sattar N</pubmed_authors><pubmed_authors>Pennells L</pubmed_authors><pubmed_authors>Carinci F</pubmed_authors><pubmed_authors>Balkau B</pubmed_authors><pubmed_authors>Sofat R</pubmed_authors><pubmed_authors>Danesh J</pubmed_authors><pubmed_authors>Ivanko P</pubmed_authors><pubmed_authors>Bonnet F</pubmed_authors><pubmed_authors>De Bacquer D</pubmed_authors><pubmed_authors>Sandor J</pubmed_authors><pubmed_authors>Janos S</pubmed_authors><pubmed_authors>Scheidt-Nave C</pubmed_authors><pubmed_authors>Vanherwegen AS</pubmed_authors><pubmed_authors>Dorresteijn JAN</pubmed_authors><pubmed_authors>Baltane Z</pubmed_authors><pubmed_authors>Pildava S</pubmed_authors><pubmed_authors>Read SH</pubmed_authors><pubmed_authors>Gualdi S</pubmed_authors><pubmed_authors>Schipf S</pubmed_authors><pubmed_authors>Lepiksone J</pubmed_authors><pubmed_authors>Tibor G</pubmed_authors><pubmed_authors>Pristas I</pubmed_authors><pubmed_authors>Dale C</pubmed_authors><pubmed_authors>Wood A</pubmed_authors><pubmed_authors>Carstensen B</pubmed_authors><pubmed_authors>Wild S</pubmed_authors><pubmed_authors>Petitjean C</pubmed_authors><pubmed_authors>Huculeci R</pubmed_authors><pubmed_authors>Potier L</pubmed_authors><pubmed_authors>Schottker B</pubmed_authors><pubmed_authors>Shi F</pubmed_authors><pubmed_authors>Fava S</pubmed_authors><pubmed_authors>McEvoy JW</pubmed_authors><pubmed_authors>Da Providencia E Costa RB</pubmed_authors><pubmed_authors>Ostergaard HB</pubmed_authors><pubmed_authors>Spackman S</pubmed_authors></additional><is_claimable>false</is_claimable><name>SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe.</name><description>&lt;h4>Aims&lt;/h4>To develop and validate a recalibrated prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes in Europe.&lt;h4>Methods and results&lt;/h4>SCORE2-Diabetes was developed by extending SCORE2 algorithms using individual-participant data from four large-scale datasets comprising 229 460 participants (43 706 CVD events) with type 2 diabetes and without previous CVD. Sex-specific competing risk-adjusted models were used including conventional risk factors (i.e. age, smoking, systolic blood pressure, total, and HDL-cholesterol), as well as diabetes-related variables (i.e. age at diabetes diagnosis, glycated haemoglobin [HbA1c] and creatinine-based estimated glomerular filtration rate [eGFR]). Models were recalibrat</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2026-06-17T06:45:21.944Z</modification><creation>2026-06-17T03:07:58.21Z</creation></dates><accession>S-EPMC10361012</accession><cross_references><pubmed>37247330</pubmed><doi>10.1093/eurheartj/ehad260</doi></cross_references></HashMap>