ArticlePloS one2014
Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
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- Validation of DIABSCORE in screening for Type 2 Diabetes and prediabetes in Tunisian population.PloS one · 2018Trial
- Factors related to reversal of prediabetes in patients from a cardiovascular risk program during 2019 - 2023.Cardiovascular diabetology. Endocrinology reports · 2025Article
- Validation of the Finnish Diabetes Risk Score and development of a country-specific diabetes prediction model for Turkey.Primary health care research & development · 2025Article
- Adaptation of finnish diabetes risk score for screening undiagnosed diabetes and hyperglycemia in Chinese adults.PloS one · 2025Article
- Diabetes Screening in the Emergency Department: Development of a Predictive Model for Elevated Hemoglobin A1c.Journal of diabetes research · 2025Article
- No clear evidence of neuropathy among patients with high risk for the development of prediabetes/diabetes-a pilot study.Frontiers in endocrinology · 2024Article
- The Health Implications of Perceived Anti-Muslim Discrimination Among South Asian Muslim Americans.AJPM focus · 2023Article
- Finnish diabetes risk score outperformed triglyceride-glucose index in diabetes risk prediction.Journal of diabetes and metabolic disorders · 2023Article
- Prevalence of increased risk of type 2 diabetes in general practice: a cross-sectional study in Norway.BMC primary care · 2023Article
- Performance of a Finnish Diabetes Risk Score in detecting undiagnosed diabetes among Kenyans aged 18-69 years.PloS one · 2023Article
- Large scale application of the Finnish diabetes risk score in Latin American and Caribbean populations: a descriptive study.Frontiers in endocrinology · 2023Article
- External Validation of Finnish Diabetes Risk Score and Australian Diabetes Risk Assessment Tool Prediction Models to Identify People with Undiagnosed Type 2 Diabetes: A Cross-sectional Study in Iran.International journal of endocrinology and metabolism · 2022Article
- Diabetes care and prevention services provided by pharmacists: Progress made during the COVID-19 pandemic and the need for additional efforts in the post-pandemic era.Exploratory research in clinical and social pharmacy · 2022Article
- Development and Validation of a Risk Score Screening Tool to Identify People at Risk for Hypertension in Shanghai, China.Risk management and healthcare policy · 2022Article
- Non-invasive type 2 diabetes risk scores do not identify diabetes when the cause is β-cell failure: The Africans in America study.Frontiers in public health · 2022Article
- Comparison of the Finnish Diabetes Risk Score Model With the Metabolic Syndrome in a Shanghai Population.Frontiers in endocrinology · 2022Article
- Predicting youth diabetes risk using NHANES data and machine learning.Scientific reports · 2021Article
- Resilience, pain, and the brain: Relationships differ by sociodemographics.Journal of neuroscience research · 2021Observational
- Expanding the Finnish Diabetes Risk Score for Predicting Diabetes Incidence in People Living with HIV.AIDS research and human retroviruses · 2021Article
Corrections and comments
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagnosed diabetes and prediabetes among U.S. adults by gender and race.
methodsThis cross-sectional analysis included participants (aged ≥20 years) from the National Health and Nutrition Examination Survey (NHANES) 1999-2010. Sensitivity, specificity, area under the receiver operating characteristic (ROC) curve and the optimal cutoff points for identifying undiagnosed diabetes and prediabetes were calculated for FINDRISC by gender and race/ethnicity.
resultsAmong the 20,633 adults (≥20 years), 49.8% were women and 53.0% were non-Hispanic White. The prevalence of undiagnosed diabetes and prediabetes was 4.1% and 35.6%, respectively. FINDRISC was positively associated with the prevalence of diabetes (OR = 1.48 for 1 unit increase, p<0.001) and prediabetes (OR = 1.15 for 1 unit increase, p<0.001). The area under ROC for detecting undiagnosed diabetes was 0.75 for total population, 0.74 for men and 0.78 for women (p = 0.04); 0.76 for White, 0.76 for Black and 0.72 for Hispanics (p = 0.03 for White vs. Hispanics). The area under ROC for detecting prediabetes was 0.67 for total population, 0.66 for men and 0.70 for women (p<0.001); 0.68 for White, 0.67 for Black and 0.65 for Hispanics (p<0.001 for White vs. Hispanics). The optimal cutoff point was 10 (sensitivity = 0.75) for men and 12 (sensitivity = 0.72) for women for detecting undiagnosed diabetes; 9 (sensitivity = 0.61) for men and 10 (sensitivity = 0.69) for women for detecting prediabetes.
conclusionsFINDRISC is a simple and non-invasive screening tool to identify individuals at high risk for diabetes in the U.S. adults.
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