ArticleJournal of diabetes and its complications2017
Utility of existing diabetes risk prediction tools for young black and white adults: Evidence from the Bogalusa Heart Study.
Article in Journal of diabetes and its complications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00005129 (The Bogalusa Heart Study), which is not on this map. Cited by 4 papers.
What it found
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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.
The Bogalusa Heart Study
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- A 6-CpG validated methylation risk score model for metabolic syndrome: The HyperGEN and GOLDN studies.PloS one · 2021Article
- A nomogram model for screening the risk of diabetes in a large-scale Chinese population: an observational study from 345,718 participants.Scientific reports · 2020Observational
- Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.Journal of diabetes research · 2020Article
- Unlocking Population-Specific Treatments to Render Equitable Approaches and Management in Cardiovascular Disease: Development of a Situation-Specific Theory for African American Emerging Adults.The Journal of cardiovascular nursingArticle
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
aimsTo evaluate several adult diabetes risk calculation tools for predicting the development of incident diabetes and pre-diabetes in a bi-racial, young adult population.
methodsSurveys beginning in young adulthood (baseline age ≥18) and continuing across multiple decades for 2122 participants of the Bogalusa Heart Study were used to test the associations of five well-known adult diabetes risk scores with incident diabetes and pre-diabetes using separate Cox models for each risk score. Racial differences were tested within each model. Predictive utility and discrimination were determined for each risk score using the Net Reclassification Index (NRI) and Harrell's c-statistic.
resultsAll risk scores were strongly associated (p<.0001) with incident diabetes and pre-diabetes. The Wilson model indicated greater risk of diabetes for blacks versus whites with equivalent risk scores (HR=1.59; 95% CI 1.11-2.28; p=.01). C-statistics for the diabetes risk models ranged from 0.79 to 0.83. Non-event NRIs indicated high specificity (non-event NRIs: 76%-88%), but poor sensitivity (event NRIs: -23% to -3%).
conclusionsFive diabetes risk scores established in middle-aged, racially homogenous adult populations are generally applicable to younger adults with good specificity but poor sensitivity. The addition of race to these models did not result in greater predictive capabilities. A more sensitive risk score to predict diabetes in younger adults is needed.
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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.