ArticleBMJ open diabetes research & care2019
Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study.
Article in BMJ open diabetes research & care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06195566 (Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Pooled it
- Using HbA1c measurements and the Finnish Diabetes Risk Score to identify undiagnosed individuals and those at risk of diabetes in primary care.BMC public health · 2023Trial
- Ethnic and Gender Disparities in Risk Factors for Prediabetes-A Retrospective Exploratory Analysis in Southern Israel.Journal of clinical medicine · 2026Article
- Assessing the Risk of Type 2 Diabetes Among University Employees in Kuwait: A Cross-Sectional Study.International journal of environmental research and public health · 2026Article
- 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
- Improving Diabetes and Pre-Diabetes Detection in the UK: Insights From HbA1c Screening in an Acute Hospital's Emergency Department.Diabetes therapy : research, treatment and education of diabetes and related disorders · 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
- FINDRISC modified for Cuba as a tool for the detection of prediabetes and undiagnosed diabetes in cuban population.Revista peruana de medicina experimental y salud publica · 2025Article
- [Design of a Tool for Patient Classification Based on Pharmacotherapeutic Attitudes].Farmaceuticos comunitarios · 2024Observational
- [Detection of people at risk of having diabetes in the community pharmacy with the Findrisc test 2014-2021].Farmaceuticos comunitarios · 2024Article
- No clear evidence of neuropathy among patients with high risk for the development of prediabetes/diabetes-a pilot study.Frontiers in endocrinology · 2024Article
- Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees.Scandinavian journal of work, environment & health · 2023Article
- Can Waist-to-Height Ratio and Health Literacy Be Used in Primary Care for Prioritizing Further Assessment of People at T2DM Risk?International journal of environmental research and public health · 2023Article
- Prevalence of increased risk of type 2 diabetes in general practice: a cross-sectional study in Norway.BMC primary care · 2023Article
- Predicting work disability among people with chronic conditions: a prospective cohort study.Scientific reports · 2023Article
- The impact of population-level HbADiabetologia · 2023Article
- Development and External Validation of a Multivariable Prediction Model to Identify Nondiabetic Hyperglycemia and Undiagnosed Type 2 Diabetes: Diabetes Risk Assessment in Dentistry Score (DDS).Journal of dental research · 2023Article
- Large scale application of the Finnish diabetes risk score in Latin American and Caribbean populations: a descriptive study.Frontiers in endocrinology · 2023Article
- ModAsian FINDRISC as a Screening Tool for People with Undiagnosed Type 2 Diabetes Mellitus in Vietnam: A Community-Based Cross-Sectional Study.Journal of multidisciplinary healthcare · 2023Article
- Development of a 5-year risk prediction model for type 2 diabetes in individuals with incident HbA1c-defined pre-diabetes in Denmark.BMJ open diabetes research & care · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The Finnish Diabetes Risk Score (FINDRISC) is a recommended tool for type 2 diabetes prediction. There is a lack of studies examining the performance of the current 0-26 point FINDRISC scale. We examined the validity of FINDRISC in a contemporary Norwegian risk environment. Research design and methods: We followed 47 804 participants without known diabetes and aged ≥20 years in the HUNT3 survey (2006-2008) by linkage to information on glucose-lowering drug dispensing in the Norwegian Prescription Database (2004-2016). We estimated the C-statistic, sensitivity and specificity of FINDRISC as predictor of incident diabetes, as indicated by incident use of glucose-lowering drugs. We estimated the 10-year cumulative diabetes incidence by categories of FINDRISC. Results: The C-statistic (95% CI) of FINDRISC in predicting future diabetes was 0.77 (0.76 to 0.78). FINDRISC ≥15 (the conventional cut-off value) had a sensitivity of 38% and a specificity of 90%. The 10-year cumulative diabetes incidence (95% CI) was 4.0% (3.8% to 4.2%) in the entire study population, 13.5% (12.5% to 14.5%) for people with FINDRISC ≥15 and 2.8% (2.6% to 3.0%) for people with FINDRISC <15. Thus, FINDRISC ≥15 had a positive predictive value of 13.5% and a negative predictive value of 97.2% for diabetes within the next 10 years. To approach a similar sensitivity as in the study in which FINDRISC was developed, we would have to lower the cut-off value for elevated FINDRISC to ≥11. This would yield a sensitivity of 73%, specificity of 67%, positive predictive value of 7.7% and negative predictive value of 98.5%. Conclusions: The validity of FINDRISC and the risk of diabetes among people with FINDRISC ≥15 is substantially lower in the contemporary Norwegian population than assumed in official guidelines. To identify ~3/4 of those developing diabetes within the next 10 years, we would have to lower the threshold for elevated FINDRISC to ≥11, which would label ~1/3 of the entire adult population as having an elevated FINDRISC necessitating a glycemia assessment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.