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https://hdl.handle.net/10216/114843
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DC Field | Value | Language |
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dc.creator | Gray, LJ | |
dc.creator | Barros, H | |
dc.creator | Raposo, L | |
dc.creator | Khunti, K | |
dc.creator | Davies, MJ | |
dc.creator | Santos, AC | |
dc.date.accessioned | 2018-08-27T11:35:01Z | - |
dc.date.available | 2018-08-27T11:35:01Z | - |
dc.date.issued | 2013 | |
dc.identifier.issn | 1751-9918 | |
dc.identifier.uri | http://hdl.handle.net/10216/114843 | - |
dc.description.abstract | Aims: To develop and validate a non-invasive score for detecting undiagnosed impaired fasting glucose (IFG) and type 2 diabetes (T2DM) in a Portuguese population. Methods: We used data from 3,374 individuals aged 18–94 years from a Portuguese cross-sectional study. We developed a logistic regression model for predicting IFG/T2DM (diagnosed using fasting glucose). We externally validated the score using data from two cohorts of the EPI-Porto study, cross-sectional (n = 2,131) and data from the 5 year follow-up (n = 1,304). Results: The final model included age, sex, BMI and hypertension with an area under the ROC curve of 70.1 (95%CI 68.4, 71.7). Using a cut-point which classifies 50% of the EPI-Porto cross-sectional data as high-risk gave sensitivity 73.2% (95%CI 68.5%, 77.6%), specificity 55.5% (53.1%, 57.8%), positive predictive value (PPV) 27.0% (24.3%, 29.8%) and negative predictive value (NPV) 90.2% (88.3%, 92.0%) for IFG/T2DM. Using the same cut-point on the prospective data classified 45% as high-risk; sensitivity 69.1% (63.4%, 74.4%), specificity 63.3% (60.0%, 66.5%), PPV 38.0% (33.9%, 42.4%), and NPV 86.2% (83.3%, 88.8%). Conclusion: The Portuguese risk score can be used to identify those at high risk of both prevalent undiagnosed and incident IFG/T2DM. | |
dc.language.iso | eng | |
dc.relation.ispartof | Prim Care Diabetes, vol. 7(1), p. 11-18 | |
dc.rights | openAccess | |
dc.subject | Type 2 diabetes mellitus | |
dc.title | The development and validation of the Portuguese risk score for detecting type 2 diabetes and impaired fasting | |
dc.type | Artigo em Revista Científica Internacional | |
dc.contributor.uporto | Instituto de Saúde Pública | |
dc.identifier.doi | 10.1016/j.pcd.2013.01.003 | |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1751991813000053?via%3Dihub | |
Appears in Collections: | ISPUP - Artigo em Revista Científica Internacional |
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File | Description | Size | Format | |
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GrayLJ2013.pdf | 370.5 kB | Adobe PDF | View/Open |
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