{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(2)"],"submitter":["Gonzalez-Juanatey C"],"funding":["AstraZeneca"],"pubmed_abstract":["<h4>Introduction and objectives</h4>Patients with type 2 diabetes (T2D) and stable coronary artery disease (CAD) previously revascularized with percutaneous coronary intervention (PCI) are at high risk of recurrent ischemic events. We aimed to provide real-world insights into the clinical characteristics and management of this clinical population, excluding patients with a history of myocardial infarction (MI) or stroke, using Natural Language Processing (NLP) technology.<h4>Methods</h4>This is a multicenter, retrospective study based on the secondary use of 2014-2018 real-world data captured in the Electronic Health Records (EHRs) of 1,579 patients (0.72% of the T2D population analyzed; n = 217,632 patients) from 12 representative hospitals in Spain. To access the unstructured clinical in"],"journal":["PloS one"],"pagination":["e0263277"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8830700"],"repository":["biostudies-literature"],"pubmed_title":["Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing."],"pmcid":["PMC8830700"],"pubmed_authors":["Orts-Soler E","Gonzalez-Juanatey C","Barrios V","Munoz-Aguilera R","Rodriguez-Santamarta M","Lafuente-Gormaz C","Curcio-Ruigomez A","Anguita-Sa Nchez M","Vinolas-Prat X","Cequier A","Garcia-Moll X","Rollan-Gomez MJ","Gomez-Doblas JJ","Peral-Disdie V","Plaza I","Soriano-Colome T","Mate C","Nunez-Gil I","SAVANA Research Group","Segovia J","Martinez-Dolz L"],"additional_accession":[]},"is_claimable":false,"name":"Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.","description":"<h4>Introduction and objectives</h4>Patients with type 2 diabetes (T2D) and stable coronary artery disease (CAD) previously revascularized with percutaneous coronary intervention (PCI) are at high risk of recurrent ischemic events. We aimed to provide real-world insights into the clinical characteristics and management of this clinical population, excluding patients with a history of myocardial infarction (MI) or stroke, using Natural Language Processing (NLP) technology.<h4>Methods</h4>This is a multicenter, retrospective study based on the secondary use of 2014-2018 real-world data captured in the Electronic Health Records (EHRs) of 1,579 patients (0.72% of the T2D population analyzed; n = 217,632 patients) from 12 representative hospitals in Spain. To access the unstructured clinical in","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-06-01T12:03:18.357Z","creation":"2025-06-01T12:03:18.357Z"},"accession":"S-EPMC8830700","cross_references":{"pubmed":["35143527"],"doi":["10.1371/journal.pone.0263277"]}}