ArticleiScience2026
Multidimensional analysis of depression and diabetic kidney disease using GBD, NHANES, and MR.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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9 authors.
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Abstract
Depression and diabetic kidney disease (DKD) are leading global health burdens that frequently co-occur. Using Global Burden of Disease (GBD) 2023, National Health and Nutrition Examination Survey (NHANES) 2013-March 2020, and Mendelian randomization (MR), we investigated epidemiological patterns and genetic underpinnings of this relationship. GBD data indicate a rising DKD burden and high depression rates, especially in women and younger adults. NHANES demonstrated a strong, graded cross-sectional association between depressive symptom severity and prevalent DKD, with moderately severe-to-severe symptoms conferring the highest odds of disease. MR analyses, however, yielded predominantly null findings. Although a nominal association between depressed affect and DKD was observed in European ancestry populations, this estimate attenuated following sensitivity analyses and did not provide robust evidence for a direct causal relationship. Integrating mental health screening into diabetes care may mitigate the combined burden of these conditions.
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