Literature DB >> 27592167

Validation of the Finnish Diabetes Risk Score (FINDRISC) questionnaire for undiagnosed type 2 diabetes screening in the Slovenian working population.

Gregor Štiglic1, Nino Fijačko2, Andraž Stožer3, Aziz Sheikh4, Majda Pajnkihar5.   

Abstract

We performed a cross-sectional population-based study on 632 participants, aged 20-65, who were screened using the Finnish Diabetes Risk Score (FINDRISC) questionnaire. Optimal results for men were achieved at FINDRISC⩾7 (100.0% sensitivity and 0.78 AUC) and for women at FINDRISC⩾13 (60.0% sensitivity and 0.78 AUC).
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Fasting plasma glucose; Prevention; Screening; Undiagnosed type 2 diabetes

Mesh：

Year:  2016        PMID： 27592167     DOI： 10.1016/j.diabres.2016.08.010

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN： 0168-8227            Impact factor:   5.602


  9 in total

1.  Diagnostic accuracy of the Finnish Diabetes Risk Score for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the Lebanese University.

Authors:  Maher Abdallah; Safa Sharbaji; Marwa Sharbaji; Zeina Daher; Tarek Faour; Zeinab Mansour; Mohammad Hneino
Journal:  Diabetol Metab Syndr       Date:  2020-09-30       Impact factor: 3.320

2.  Prevalence of people at risk of developing type 2 diabetes mellitus and the involvement of community pharmacies in a national screening campaign: a pioneer action in Brazil.

Authors:  Cassyano J Correr; Wendel Coura-Vital; Josélia C Q P Frade; Renata C R M Nascimento; Lúbia G Nascimento; Eliete B Pinheiro; Wesley M Ferreira; Janice S Reis; Karla F S Melo; Roberto Pontarolo; Mônica S A Lenzi; José V Almeida; Hermelinda C Pedrosa; Walter S J João
Journal:  Diabetol Metab Syndr       Date:  2020-10-08       Impact factor: 3.320

3.  Risk Score for Detecting Dysglycemia: A Cross-Sectional Study of a Working-Age Population in an Oil Field in China.

Authors:  Xiubiao Tian; Yan Liu; Ying Han; Jieli Shi; Tiehong Zhu
Journal:  Med Sci Monit       Date:  2017-06-11

4.  Early detection of type 2 diabetes mellitus using machine learning-based prediction models.

Authors:  Leon Kopitar; Primoz Kocbek; Leona Cilar; Aziz Sheikh; Gregor Stiglic
Journal:  Sci Rep       Date:  2020-07-20       Impact factor: 4.379

5.  NDSP 09: Risk Assessment of Pakistani Individual for Diabetes (RAPID) - Findings from Second National Diabetes Survey of Pakistan (NDSP) 2016-2017.

Authors:  Khalid Abdul Basit; Asher Fawwad; Musarrat Riaz; Bilal Tahir; Maria Khalid; Abdul Basit
Journal:  Diabetes Metab Syndr Obes       Date:  2021-01-19       Impact factor: 3.168

6.  Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population.

Authors:  M Rifqi Rokhman; Bustanul Arifin; Zulkarnain Zulkarnain; Satibi Satibi; Dyah Aryani Perwitasari; Cornelis Boersma; Maarten J Postma; Jurjen van der Schans
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

7.  Risk assessment and HbA1c measurement in Norwegian community pharmacies to identify people with undiagnosed type 2 diabetes - A feasibility study.

Authors:  Aslaug Johanne Risøy; Reidun Lisbet Skeide Kjome; Sverre Sandberg; Una Ørvim Sølvik
Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

8.  Early detection of type 2 diabetes in socioeconomically disadvantaged areas in Stockholm - comparing reach of community and facility-based screening.

Authors:  Linda Timm; Katri Harcke; Ida Karlsson; Kristi Sidney Annerstedt; Helle Mölsted Alvesson; Nouha Saleh Stattin; Birger C Forsberg; Claes-Göran Östenson; Meena Daivadanam
Journal:  Glob Health Action       Date:  2020-12-31       Impact factor: 2.640

9.  Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population.

Authors:  Antonio Bernabe-Ortiz; Pablo Perel; Juan Jaime Miranda; Liam Smeeth
Journal:  Prim Care Diabetes       Date:  2018-08-18       Impact factor: 2.459
  9 in total

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