| scholarly article | Q13442814 |
| P819 | ADS bibcode | 2012PLoSO...733437G |
| P356 | DOI | 10.1371/JOURNAL.PONE.0033437 |
| P932 | PMC publication ID | 3307727 |
| P698 | PubMed publication ID | 22442692 |
| P5875 | ResearchGate publication ID | 221971452 |
| P50 | author | Marta Guasch-Ferré | Q57145222 |
| Bernardo Costa | Q57298267 | ||
| Núria Ibarrola-Jurado | Q114438189 | ||
| Jordi Salas-Salvadó | Q35028955 | ||
| Mònica Bulló | Q47392947 | ||
| P2093 | author name string | Ramon Estruch | |
| Francisco Barrio | |||
| Miguel Ángel Martínez-Gonzalez | |||
| PREDI-PLAN Investigators | |||
| P2860 | cites work | Reduction in the Incidence of Type 2 Diabetes with Lifestyle Intervention or Metformin | Q22250892 |
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| Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore | Q37138275 | ||
| Tools for predicting the risk of type 2 diabetes in daily practice | Q37330190 | ||
| The role of diet in the prevention of type 2 diabetes | Q37900005 | ||
| Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose tolerance test? | Q43960351 | ||
| An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes | Q44040130 | ||
| Projected impact of implementing the results of the diabetes prevention program in the U.S. population | Q44195308 | ||
| Delaying progression to type 2 diabetes among high-risk Spanish individuals is feasible in real-life primary healthcare settings using intensive lifestyle intervention | Q44233266 | ||
| The diabetes risk score: a practical tool to predict type 2 diabetes risk | Q44333486 | ||
| Finnish questionnaire reasonably good predictor of the incidence of diabetes in The Netherlands | Q46215066 | ||
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | type 2 diabetes | Q3025883 |
| P304 | page(s) | e33437 | |
| P577 | publication date | 2012-03-19 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | A risk score to predict type 2 diabetes mellitus in an elderly Spanish Mediterranean population at high cardiovascular risk | |
| P478 | volume | 7 |
| Q37514546 | Analysis of a sample of type 2 diabetic patients with obesity or overweight and at cardiovascular risk: a cross sectional study in Spain. |
| Q28551276 | Development and Validation of a Risk-Score Model for Type 2 Diabetes: A Cohort Study of a Rural Adult Chinese Population |
| Q35838582 | Development of Risk Score for Predicting 3-Year Incidence of Type 2 Diabetes: Japan Epidemiology Collaboration on Occupational Health Study |
| Q35988135 | Diabetes-related alterations in the enteric nervous system and its microenvironment |
| Q57659474 | Diabetesrisikoscores |
| Q61814477 | Driving Type 2 Diabetes Risk Scores into Clinical Practice: Performance Analysis in Hospital Settings |
| Q33650310 | Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010. |
| Q35971848 | H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus |
| Q47570610 | Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes. |
| Q44589292 | Prediction of 4-year incident diabetes in older Chinese: recalibration of the Framingham diabetes score on Guangzhou Biobank Cohort Study. |
| Q37055110 | Prevalence of Type II diabetes in District Dir Lower in Pakistan |
| Q90262020 | Prognostic Modeling and Prevention of Diabetes Using Machine Learning Technique |
| Q34600964 | Shifting from glucose diagnosis to the new HbA1c diagnosis reduces the capability of the Finnish Diabetes Risk Score (FINDRISC) to screen for glucose abnormalities within a real-life primary healthcare preventive strategy |
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