ArticleDiabetologia2011
The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes.
Article in Diabetologia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Accuracy of Machine Learning Classification Models for the Prediction of Type 2 Diabetes Mellitus: A Systematic Survey and Meta-Analysis Approach.International journal of environmental research and public health · 2022Pooled it
- Risk models and scores for type 2 diabetes: systematic review.BMJ (Clinical research ed.) · 2011Pooled it
- The 6-Month Efficacy of an Intensive Lifestyle Modification Program on Type 2 Diabetes Risk Among Rural Women with Prior Gestational Diabetes Mellitus: a Cluster Randomized Controlled Trial.Prevention science : the official journal of the Society for Prevention Research · 2022Trial
- Prevalence of undiagnosed abnormal glucose tolerance in adult patients cared for by general practitioners in Hungary. Results of a risk-stratified screening based on FINDRISC questionnaire.Medical science monitor : international medical journal of experimental and clinical research · 2013Trial
- Performance of diabetes risk prediction models: a systematic review and meta-analysis.Endocrine connections · 2025Article
- Validation of the Finnish Diabetes Risk Score (FINDRISC) in a Central-European Population for the Prediction of Cumulative Incidence of Type 2 Diabetes Over 8-Years-Follow-Up of the Budakalász Health Examination Survey (BHES).Diabetes/metabolism research and reviews · 2025Article
- Adaptation of finnish diabetes risk score for screening undiagnosed diabetes and hyperglycemia in Chinese adults.PloS one · 2025Article
- Camp-style lifestyle modification program (CAMP) for diabetes prevention among rural women with prior GDM: study protocol for a three-arm cluster hybrid type 2 randomized controlled trial.BMC public health · 2024Article
- Article
- A non-invasive risk score including skin autofluorescence predicts diabetes risk in the general population.Scientific reports · 2022Article
- Development of Various Diabetes Prediction Models Using Machine Learning Techniques.Diabetes & metabolism journal · 2022Article
- Non-Alcoholic Fatty Liver Disease Markers Associated with Fasting Serum Insulin and Urinary Albumin Excretion Independent of Fasting Plasma Glucose.Journal of clinical medicine · 2020Article
- Agreement between Type 2 Diabetes Risk Scales in a Caucasian Population: A Systematic Review and Report.Journal of clinical medicine · 2020Article
- Driving Type 2 Diabetes Risk Scores into Clinical Practice: Performance Analysis in Hospital Settings.Journal of clinical medicine · 2019Article
- Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study.BMJ open diabetes research & care · 2019Article
- Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait.Frontiers in endocrinology · 2019Article
- Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes.Sensors (Basel, Switzerland) · 2017Article
- Article
- Update and Next Steps for Real-World Translation of Interventions for Type 2 Diabetes Prevention: Reflections From a Diabetes Care Editors' Expert Forum.Diabetes care · 2016Review
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14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisThe Finnish diabetes risk questionnaire is a widely used, simple tool for identification of those at risk for drug-treated type 2 diabetes. We updated the risk questionnaire by using clinically diagnosed and screen-detected type 2 diabetes instead of drug-treated diabetes as an endpoint and by considering additional predictors.
methodsData from 18,301 participants in studies of the Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) project with baseline and follow-up information on oral glucose tolerance status were included. Incidence of type 2 diabetes within 5 years was used as the outcome variable. Improvement in discrimination and classification of the logistic regression model was assessed by the area under the receiver-operating characteristic (ROC) curve and by the net reclassification improvement. Internal validation was by bootstrapping techniques.
resultsOf the 18,301 participants, 844 developed type 2 diabetes in a period of 5 years (4.6%). The Finnish risk score had an area under the ROC curve of 0.742 (95% CI 0.726-0.758). Re-estimation of the regression coefficients improved the area under the ROC curve to 0.766 (95% CI 0.750-0.783). Additional items such as male sex, smoking and family history of diabetes (parent, sibling or both) improved the area under the ROC curve and net reclassification. Bootstrapping showed good internal validity. CONCLUSIONS/
interpretationThe predictive value of the original Finnish risk questionnaire could be improved by adding information on sex, smoking and family history of diabetes. The DETECT-2 update of the Finnish diabetes risk questionnaire is an adequate and robust predictor for future screen-detected and clinically diagnosed type 2 diabetes in Europid populations.
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