{"PubmedArticle":{"MedlineCitation":{"@attributes":{"Status":"MEDLINE","Owner":"NLM","IndexingMethod":"Automated"},"PMID":{"@attributes":{"Version":"1"},"@text":"33377255"},"DateCompleted":{"Year":"2021","Month":"07","Day":"09"},"DateRevised":{"Year":"2021","Month":"07","Day":"09"},"Article":{"@attributes":{"PubModel":"Print-Electronic"},"Journal":{"ISSN":{"@attributes":{"IssnType":"Electronic"},"@text":"1463-1326"},"JournalIssue":{"@attributes":{"CitedMedium":"Internet"},"Volume":"23","Issue":"5","PubDate":{"Year":"2021","Month":"May"}},"Title":"Diabetes, obesity & metabolism","ISOAbbreviation":"Diabetes Obes Metab"},"ArticleTitle":"Prediction of mortality and major cardiovascular complications in type 2 diabetes: External validation of UK Prospective Diabetes Study outcomes model version 2 in two European observational cohorts.","Pagination":{"StartPage":"1084","EndPage":"1091","MedlinePgn":"1084-1091"},"ELocationID":[{"@attributes":{"EIdType":"doi","ValidYN":"Y"},"@text":"10.1111\/dom.14311"}],"Abstract":{"AbstractText":[{"@attributes":{"Label":"AIM"},"@text":"To externally validate the UK Prospective Diabetes Study Outcomes Model version 2 (UKPDS-OM2) by comparing the predicted and observed outcomes in two European population-based cohorts of people with type 2 diabetes."},{"@attributes":{"Label":"MATERIALS AND METHODS"},"@text":"We used data from the Casale Monferrato Survey (CMS; n = 1931) and a subgroup of the Hoorn Diabetes Care System (DCS) cohort (n = 5188). The following outcomes were analysed: all-cause mortality, myocardial infarction (MI), ischaemic heart disease (IHD), stroke, and congestive heart failure (CHF). Model performance was assessed by comparing predictions with observed cumulative incidences in each cohort during follow-up."},{"@attributes":{"Label":"RESULTS"},"@text":"All-cause mortality was overestimated by the UKPDS-OM2 in both the cohorts, with a bias of 0.05 in the CMS and 0.12 in the DCS at 10\u2009years of follow-up. For MI, predictions were consistently higher than observed incidence over the entire follow-up in both cohorts (10\u2009years bias 0.07 for CMS and 0.10 for DCS). The model performed well for stroke and IHD outcomes in both cohorts. CHF incidence was predicted well for the DCS (5\u2009years bias -0.001), but underestimated for the CMS cohort."},{"@attributes":{"Label":"CONCLUSIONS"},"@text":"The UKPDS-OM2 consistently overpredicted the risk of mortality and MI in both cohorts during follow-up. Period effects may partially explain the differences. Results indicate that transferability is not satisfactory for all outcomes, and new or adjusted risk equations may be needed before applying the model to the Italian or Dutch settings."}],"CopyrightInformation":"\u00a9 2020 John Wiley & Sons Ltd."},"AuthorList":{"@attributes":{"CompleteYN":"Y"},"Author":[{"@attributes":{"ValidYN":"Y"},"LastName":"Pagano","ForeName":"Eva","Initials":"E","Identifier":[{"@attributes":{"Source":"ORCID"},"@text":"0000-0001-7552-2901"}],"AffiliationInfo":[{"Affiliation":"Unit of Clinical Epidemiology, \"Citt\u00e0 della Salute e della Scienza\" Hospital and CPO Piemonte, Turin, Italy."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Konings","ForeName":"Stefan R A","Initials":"SRA","AffiliationInfo":[{"Affiliation":"Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Di Cuonzo","ForeName":"Daniela","Initials":"D","AffiliationInfo":[{"Affiliation":"Unit of Clinical Epidemiology, \"Citt\u00e0 della Salute e della Scienza\" Hospital and CPO Piemonte, Turin, Italy."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Rosato","ForeName":"Rosalba","Initials":"R","AffiliationInfo":[{"Affiliation":"Department of Psychology, University of Turin, Turin, Italy."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Bruno","ForeName":"Graziella","Initials":"G","AffiliationInfo":[{"Affiliation":"Laboratory of Diabetic Nephropathy, Department of Medical Sciences, University of Turin, Turin, Italy."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"van der Heijden","ForeName":"Amber A","Initials":"AA","AffiliationInfo":[{"Affiliation":"Department of General Practice, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands."},{"Affiliation":"Department of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Beulens","ForeName":"Joline","Initials":"J","AffiliationInfo":[{"Affiliation":"Department of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Slieker","ForeName":"Roderick","Initials":"R","AffiliationInfo":[{"Affiliation":"Department of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands."},{"Affiliation":"Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Leal","ForeName":"Jose","Initials":"J","Identifier":[{"@attributes":{"Source":"ORCID"},"@text":"0000-0001-7870-6730"}],"AffiliationInfo":[{"Affiliation":"Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK."}]},{"@attributes":{"ValidYN":"Y"},"LastName":"Feenstra","ForeName":"Talitha L","Initials":"TL","Identifier":[{"@attributes":{"Source":"ORCID"},"@text":"0000-0002-5788-0454"}],"AffiliationInfo":[{"Affiliation":"University of Groningen, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy, Groningen, The Netherlands."},{"Affiliation":"RIVM, Bilthoven, The Netherlands."}]}]},"Language":["eng"],"GrantList":{"@attributes":{"CompleteYN":"Y"},"Grant":[{"Agency":"This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 115881 (RHAPSODY). This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA. This work is supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 16.0097. The opinions expressed and arguments employed herein do not necessarily reflect the official views of these funding bodies","Country":""}]},"PublicationTypeList":{"PublicationType":[{"@attributes":{"UI":"D016428"},"@text":"Journal Article"},{"@attributes":{"UI":"D064888"},"@text":"Observational Study"},{"@attributes":{"UI":"D013485"},"@text":"Research Support, Non-U.S. Gov't"}]},"ArticleDate":[{"@attributes":{"DateType":"Electronic"},"Year":"2021","Month":"01","Day":"22"}]},"MedlineJournalInfo":{"Country":"England","MedlineTA":"Diabetes Obes Metab","NlmUniqueID":"100883645","ISSNLinking":"1462-8902"},"CitationSubset":["IM"],"MeshHeadingList":{"MeshHeading":[{"DescriptorName":{"@attributes":{"UI":"D003924","MajorTopicYN":"Y"},"@text":"Diabetes Mellitus, Type 2"},"QualifierName":[{"@attributes":{"UI":"Q000150","MajorTopicYN":"N"},"@text":"complications"},{"@attributes":{"UI":"Q000453","MajorTopicYN":"N"},"@text":"epidemiology"}]},{"DescriptorName":{"@attributes":{"UI":"D006801","MajorTopicYN":"N"},"@text":"Humans"}},{"DescriptorName":{"@attributes":{"UI":"D015994","MajorTopicYN":"N"},"@text":"Incidence"}},{"DescriptorName":{"@attributes":{"UI":"D007558","MajorTopicYN":"N","Type":"Geographic"},"@text":"Italy"}},{"DescriptorName":{"@attributes":{"UI":"D011446","MajorTopicYN":"N"},"@text":"Prospective Studies"}},{"DescriptorName":{"@attributes":{"UI":"D012307","MajorTopicYN":"N"},"@text":"Risk Factors"}},{"DescriptorName":{"@attributes":{"UI":"D006113","MajorTopicYN":"N","Type":"Geographic"},"@text":"United Kingdom"},"QualifierName":[{"@attributes":{"UI":"Q000453","MajorTopicYN":"N"},"@text":"epidemiology"}]}]},"KeywordList":[{"@attributes":{"Owner":"NOTNLM"},"Keyword":[{"@attributes":{"MajorTopicYN":"N"},"@text":"cardiovascular disease"},{"@attributes":{"MajorTopicYN":"N"},"@text":"diabetes complications"},{"@attributes":{"MajorTopicYN":"N"},"@text":"health economics"}]}]},"PubmedData":{"History":{"PubMedPubDate":[{"@attributes":{"PubStatus":"revised"},"Year":"2020","Month":"12","Day":"3"},{"@attributes":{"PubStatus":"received"},"Year":"2020","Month":"9","Day":"8"},{"@attributes":{"PubStatus":"accepted"},"Year":"2020","Month":"12","Day":"20"},{"@attributes":{"PubStatus":"pubmed"},"Year":"2020","Month":"12","Day":"31","Hour":"6","Minute":"0"},{"@attributes":{"PubStatus":"medline"},"Year":"2021","Month":"7","Day":"10","Hour":"6","Minute":"0"},{"@attributes":{"PubStatus":"entrez"},"Year":"2020","Month":"12","Day":"30","Hour":"5","Minute":"25"}]},"PublicationStatus":"ppublish","ArticleIdList":{"ArticleId":[{"@attributes":{"IdType":"pubmed"},"@text":"33377255"},{"@attributes":{"IdType":"doi"},"@text":"10.1111\/dom.14311"}]},"ReferenceList":[{"Title":"REFERENCES","Reference":[{"Citation":"Kuntz KM, Russell LB, Owens DK, Sanders GD, Trikalinos TA, Salomon JA. 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