The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Evaluation of Finnish Diabetes Risk Score in Screening Undiagnosed Diabetes and Prediabetes among U.S. Adults by Gender and Race: NHANES 1999-2010
Open accessAbstract
OBJECTIVE: To evaluate the performance of Finnish Diabetes Risk Score (FINDRISC) in detecting undiagnosed diabetes and prediabetes among U.S. adults by gender and race. METHODS: This 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. RESULTS: Among 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. CONCLUSIONS: FINDRISC 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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“In addition, our previous study has indicated that FINDRISC score is a valid tool in detecting both undiagnosed diabetes and pre-diabetes in U.S. men and women with different race/ethnicities [26].”
From A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults (2015) · cites this paper as [26]
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“In addition, our group recently evaluated the validity of FINDRISC in the general U.S. population and found it is a valid and reliable tool to identify undiagnosed diabetes and pre-diabetes in both men and women with different races/ethnicities [26].”
From A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults (2015) · cites this paper as [26]
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1 retracted
Barengo, N. C., Acosta, T., Arrieta, A., Ricaurte, C., Mayor, D., Tuomilehto, J. O., & the DEMOJUAN study group (2013) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2462 · Cited by 26
RetractedReduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
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Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · cited 1×
“Emerging evidence from both observational studies and randomized controlled trials (RCTs) has clearly shown that people with high risk for type 2 diabetes or people at prediabetes stage will be benefited by early identification followed by the intensive lifestyle intervention and pharmacological treatment [5–9].”
BackgroundStandards of Medical Care in Diabetes
Power, D. V. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1593 · Cited by 8,676
Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369
Economic Costs of Diabetes in the U.S. in 2002
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.3.917 · Cited by 4,147
Basevi, V., Mario, S. D., Morciano, C., Nonino, F., & Magrini, N. (2011) · Diabetes Care · doi:10.2337/dc11-0174 · Cited by 3,058
Prediabetes: a high-risk state for diabetes development
Tabák, A. G., Herder, C., Rathmann, W., Brunner, E. J., & Kivimäki, M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60283-9 · Cited by 2,958
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s067 · Cited by 2,245
Cited by
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Bernabé‐Ortiz, A., Perel, P., Miranda, J. J., & Smeeth, L. L. (2018) · Primary care diabetes · doi:10.1016/j.pcd.2018.07.015 · Cited by 117
Pretorius, E., Bester, J., Vermeulen, N., Alummoottil, S., Soma, P., Buys, A. V., & Kell, D. B. (2015) · Cardiovascular Diabetology · doi:10.1186/s12933-015-0192-5 · Cited by 89
Comparison of screening scores for diabetes and prediabetes
Poltavskiy, E. A., Kim, D. J., & Bang, H. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.06.022 · Cited by 71
Salinero-Fort, M. Á., de Burgos‐Lunar, C., Lahoz, C., Mostaza, J. M., Abánades-Herranz, J. C., Cuesta, F. L., Cabo, E. E.-D., García-Iglesias, F., González-Alegre, T., Fernández-Puntero, B., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158489 · Cited by 65
Masconi, K. L., Matsha, T. E., Echouffo-Tcheugui, J. B., Erasmus, R. T., & Kengne, A. P. (2015) · The EPMA Journal · doi:10.1186/s13167-015-0028-0 · Cited by 57
Metadata
- Authors
- Zhang, L., Zhang, Z., Zhang, Y., Hu, G., & Chen, L.
- Affiliations
- Louisiana State University Health Sciences Center New Orleans (US)
- Michigan State University (US)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Pennington Biomedical Research Center (US)
- Clemson University (US)
- Corresponding author
- Chen, Liwei
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-05-22
- Volume
- 9
- Issue
- 5
- Pages
- e97865
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4031122
- OpenAlex
- W1966075779
- Cited by
- 130
- References
- 54
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 8 · 2023: 11 · 2022: 11 · 2021: 14 · 2020: 18 · 2019: 10 · 2018: 13 · 2017: 8 · 2016: 16 · 2015: 9 · 2014: 1
- FWCI
- 9.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Clemson University
- Louisiana State University
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- FINDRISC, undiagnosed diabetes, prediabetes, diabetes screening, risk prediction model, sex differences, racial and ethnic differences, sensitivity and specificity, cut-off values, NHANES, United States adults, Black and Hispanic populations, non-Hispanic whites, diabetes prevalence, diabetes risk stratification
- MeSH terms
- Adult, Cross-Sectional Studies, Diabetes Mellitus, Female, Humans, Male, Middle Aged, Nutrition Surveys, Prediabetic State, Risk Factors, Sex Factors, United States, Population Groups, Young Adult
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