ArticleDiabetes care2012
One risk assessment tool for cardiovascular disease, type 2 diabetes, and chronic kidney disease.
Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Tools for Assessing Cardiovascular Disease Risk Factors in Underserved Young Adult Populations: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Risk models to predict chronic kidney disease and its progression: a systematic review.PLoS medicine · 2012Pooled it
- Cost-effectiveness of a stepwise cardiometabolic disease prevention program: results of a randomized controlled trial in primary care.BMC medicine · 2021Trial
- Mismatch between self-perceived and calculated cardiometabolic disease risk among participants in a prevention program for cardiometabolic disease: a cross-sectional study.BMC public health · 2020Trial
- Approaches to predict future type 2 diabetes mellitus and chronic kidney disease: A scoping review.PloS one · 2025Article
- Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review.BMC primary care · 2023Article
- Understanding the risk of developing weight-related complications associated with different body mass index categories: a systematic review.Diabetology & metabolic syndrome · 2022Review
- The Acceptance and Use of the e-Health Instrument 'The Personal Health Check' in Four Dutch Municipalities: Lessons Learned.Journal of prevention (2022) · 2022Article
- Using clinical prediction models to personalise lifestyle interventions for cardiovascular disease prevention: A systematic literature review.Preventive medicine reports · 2022Review
- A newly developed and externally validated non-clinical score accurately predicts 10-year cardiovascular disease risk in the general adult population.Scientific reports · 2021Article
- Article
- External validation of the European risk assessment tool for chronic cardio-metabolic disorders in a Middle Eastern population.Journal of translational medicine · 2020Article
- Uptake and detection rate of a stepwise cardiometabolic disease detection program in primary care-a cohort study.European journal of public health · 2020Article
- External Validation of a Tool Predicting 7-Year Risk of Developing Cardiovascular Disease, Type 2 Diabetes or Chronic Kidney Disease.Journal of general internal medicine · 2018Article
- Risk prediction of major complications in individuals with diabetes: the Atherosclerosis Risk in Communities Study.Diabetes, obesity & metabolism · 2016Article
- Validation of EGCRISC for Chronic Hepatitis C Infection Screening and Risk Assessment in the Egyptian Population.PloS one · 2016Article
- A six question screen to facilitate primary cardiovascular disease prevention.BMC cardiovascular disorders · 2015Article
- Design of the INTEGRATE study: effectiveness and cost-effectiveness of a cardiometabolic risk assessment and treatment program integrated in primary care.BMC family practice · 2014Article
- Socioeconomic measures and CKD in the United States and The Netherlands.Clinical journal of the American Society of Nephrology : CJASN · 2013Article
- Health care providers' perspective on using family history in the prevention of type 2 diabetes: a qualitative study including different disciplines.BMC family practice · 2013Article
Corrections and comments
- Commented on by
Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIndividuals at high risk for chronic cardiometabolic disease (cardiovascular disease [CVD], type 2 diabetes, and chronic kidney disease [CKD]) share many risk factors and would benefit from early intervention. We developed a nonlaboratory-based risk-assessment tool for identification of people at high cardiometabolic disease risk. RESEARCH DESIGN AND
methodsData of three population-based cohorts from different regions of the Netherlands were merged. Participants were 2,840 men and 3,940 women, white, aged 28-85 years, free from CVD, type 2 diabetes, and CKD diagnosis at baseline. The outcome was developing cardiometabolic disease during 7 years follow-up.
resultsAge, BMI, waist circumference, antihypertensive treatment, smoking, family history of myocardial infarction or stroke, and family history of diabetes were significant predictors, whereas former smoking, history of gestational diabetes, and use of lipid-lowering medication were not. The models showed acceptable calibration (Hosmer and Lemeshow statistics, P > 0.05) and discrimination (area under the receiver operating characteristic [ROC] curve 0.82 [95% CI 0.81-0.83] for women and 0.80 [0.78-0.82] for men). Discrimination of individual outcomes was lowest for diabetes (area under the ROC curve 0.70 for men and 0.73 for women) and highest for CVD mortality (0.83 for men and 0.85 for women).
conclusionsWe demonstrate that a single risk stratification tool can identify people at high risk for future CVD, type 2 diabetes, and/or CKD. The present risk-assessment tool can be used for referring the highest risk individuals to health care for further (multivariable) risk assessment and may as such serve as an important part of prevention programs targeting chronic cardiometabolic disease.
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.