biostudies-literatureUnknown17(2)Gonzalez-Juanatey CAstraZeneca<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 inPloS onee0263277https://www.ebi.ac.uk/biostudies/studies/S-EPMC8830700biostudies-literatureAssessment 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.PMC8830700Orts-Soler EGonzalez-Juanatey CBarrios VMunoz-Aguilera RRodriguez-Santamarta MLafuente-Gormaz CCurcio-Ruigomez AAnguita-Sa Nchez MVinolas-Prat XCequier AGarcia-Moll XRollan-Gomez MJGomez-Doblas JJPeral-Disdie VPlaza ISoriano-Colome TMate CNunez-Gil ISAVANA Research GroupSegovia JMartinez-Dolz LfalseAssessment 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.<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 in2022-01-01T00:00:00Z20222025-06-01T12:03:18.357Z2025-06-01T12:03:18.357ZS-EPMC88307003514352710.1371/journal.pone.0263277