Literature DB >> 17846976

A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population.

A Bergmann1, J Li, L Wang, J Schulze, S R Bornstein, P E H Schwarz.   

Abstract

AIMS: The FINDRISC questionnaire is a screening tool to estimate the risks for type 2 diabetes as well as asymptomatic type 2 diabetes. We aimed to evaluate its performance to predict diabetes in a German population and to compare its predictive and detective ability in the same population.
METHODS: A total of 552 subjects with increased risk of type 2 diabetes were investigated. All individuals completed the FINDRISC questionnaires and underwent an oral glucose tolerance test (OGTT). All individuals were followed for 3 years and underwent an OGTT again. The performance of the opportunistic screening was assessed with the area under the receiver operating characteristics curve (AUC). An intervention program was carried out for all diabetic and IFG/IGT patients at baseline.
RESULTS: For identification, the asymptomatic type 2 DM was named Condition 1; prediction of type 2 DM risk in the follow-up survey as Condition 2; and diabetes risk predicting in a hypothetical case of survey without intervention program as Condition 3. The ROC-AUC in the three condition were AUC (FINDRISC1)=0.745, AUC (FINDRISC2)=0.789, and AUC (FINDRISC3)=0.775, respectively. A significant association between FINDRISC and evolution of disease was found, but the variation of plasma glucose during the three years follow-up was not associated with FINDRISC. People in the intervention group with an improvement of glucose tolerance had a smaller FINDRISC score than persons with an unchanged or progressive condition of disease.
CONCLUSION: FINDRISC was validated in our study as a simple tool with high performance to predict diabetes risk and less efficient to identify asymptomatic type 2 diabetes. People with lower FINDRISC score will benefit easier from preventive intervention.

Entities:  

Mesh:

Year:  2007        PMID: 17846976     DOI: 10.1055/s-2007-985353

Source DB:  PubMed          Journal:  Horm Metab Res        ISSN: 0018-5043            Impact factor:   2.936


  28 in total

1.  Evaluation of a risk factor scoring model in screening for undiagnosed diabetes in China population.

Authors:  Jian-jun Dong; Neng-jun Lou; Jia-jun Zhao; Zhong-wen Zhang; Lu-lu Qiu; Ying Zhou; Lin Liao
Journal:  J Zhejiang Univ Sci B       Date:  2011-10       Impact factor: 3.066

2.  [Screening and prevention of diabetes].

Authors:  P E H Schwarz
Journal:  Internist (Berl)       Date:  2015-10       Impact factor: 0.743

3.  Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for the metabolic syndrome.

Authors:  Mohsen Janghorbani; Hoseinali Adineh; Masoud Amini
Journal:  Rev Diabet Stud       Date:  2014-02-10

4.  Evaluation of the modified FINDRISC to identify individuals at high risk for diabetes among middle-aged white and black ARIC study participants.

Authors:  Manjusha Kulkarni; Randi E Foraker; Ann M McNeill; Cynthia Girman; Sherita H Golden; Wayne D Rosamond; Bruce Duncan; Maria Ines Schmidt; Jaakko Tuomilehto
Journal:  Diabetes Obes Metab       Date:  2017-05-22       Impact factor: 6.577

Review 5.  Risk assessment tools for identifying individuals at risk of developing type 2 diabetes.

Authors:  Brian Buijsse; Rebecca K Simmons; Simon J Griffin; Matthias B Schulze
Journal:  Epidemiol Rev       Date:  2011-05-27       Impact factor: 6.222

6.  Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review.

Authors:  Katya L Masconi; Tandi E Matsha; Justin B Echouffo-Tcheugui; Rajiv T Erasmus; Andre P Kengne
Journal:  EPMA J       Date:  2015-03-11       Impact factor: 6.543

7.  Independent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.

Authors:  Katya Masconi; Tandi E Matsha; Rajiv T Erasmus; Andre P Kengne
Journal:  Diabetol Metab Syndr       Date:  2015-05-09       Impact factor: 3.320

8.  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.

Authors:  Gábor Winkler; Tibor Hídvégi; Győző Vándorfi; Sándor Balogh; György Jermendy
Journal:  Med Sci Monit       Date:  2013-01-24

9.  Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa.

Authors:  Katya L Masconi; Tandi E Matsha; Rajiv T Erasmus; Andre P Kengne
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

10.  Validating prediction scales of type 2 diabetes mellitus in Spain: the SPREDIA-2 population-based prospective cohort study protocol.

Authors:  Miguel Ángel Salinero-Fort; Carmen de Burgos-Lunar; José Mostaza Prieto; Carlos Lahoz Rallo; Juan Carlos Abánades-Herranz; Paloma Gómez-Campelo; Fernando Laguna Cuesta; Eva Estirado De Cabo; Francisca García Iglesias; Teresa González Alegre; Belén Fernández Puntero; Luis Montesano Sánchez; David Vicent López; Víctor Cornejo Del Río; Pedro J Fernández García; Concesa Sabín Rodríguez; Silvia López López; Pedro Patrón Barandío
Journal:  BMJ Open       Date:  2015-07-28       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.