ArticleMetabolism open2023
Do diabetes phenotypes in US women differ by race/ethnicity? A population-based cluster analysis.
Article in Metabolism open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
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Who cites it
1 citing paper in PubMed.
- Cluster Analysis in Diabetes Research: A Systematic Review Enhanced by a Cross-Sectional Study.Journal of clinical medicine · 2025Review
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Authors and funding
4 authors.
Funding
Abstract
Objective: US women exhibit racial disparities in the lifetime risk of diabetes and related outcomes. Identifying heterogeneity in clinical presentation may assist with reducing racial disparities in diabetes outcomes. We identified clinical phenotypes of diabetes and examined their racial and ethnic distribution in US women. Research design and methods: We conducted cluster analysis based on five factors in US women with diagnosed diabetes assessed in the National Health and Nutrition Examination Surveys 1999-2018 (n = 825). Multinomial logistic regression analysis was performed to identify racial and ethnic differences in the distribution of phenotypes. Results: We identified four distinct clinical phenotypes. Two phenotypes, mild age-related and severe insulin-deficient diabetes, each included approximately a third of women. Mild insulin-resistant and severe insulin-resistant diabetes phenotypes accounted for 19.9% and 13.7%, respectively. The distribution of clusters did not differ by race and ethnicity. Conclusions: The prevalence of four clinically distinct diabetes phenotypes identified in US women did not differ by race and ethnicity.
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