ReviewDiabetologia2025
Race, ethnicity and ancestry in global diabetes research: grappling with complexity to advance equity and scientific integrity - a narrative review and viewpoint.
Review in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Precision medicine in low-income settings and small island developing states.Nature reviews. Endocrinology · 2026Review
- Interplay between obesity-associated insulin resistance and immune system through the lens of evolutionary medicine.Molecular metabolism · 2026Review
- Equity, Diversity and Inclusion is essential for rigorous science and good for health.Diabetologia · 2026Article
- Interpretable Prediction of Late-Stage CKM Syndrome Association From Dietary Nutrients in Accelerated Aging Using SHAP and LIME.Food science & nutrition · 2026Article
- Shengdihuang Xiyangshen Zhimu Cangzhu Formula Improves Hepatic Glycogen Synthesis via the JNK/c-Jun/IRS1/GSK3β Signaling Pathway.Journal of diabetes research · 2026Article
- Article
- Diabetes prevention and treatment: a global perspective.Diabetologia · 2025Article
- Clinical Thresholds for Visceral Adiposity Accumulation: A Comparative Analysis in Sex-, Age-, and BMI-Matched Black and White Adults.American journal of human biology : the official journal of the Human Biology Council · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The global burden of diabetes-across major forms such as type 2 diabetes, type 1 diabetes and gestational diabetes mellitus-disproportionately affects people of non-European ancestry, the majority of whom live in low- and middle-income countries. The heterogeneity of diabetes risks and phenotypes indicates that knowledge derived principally from European-origin populations may not be readily transferable to other groups. In this review our aim is to enhance the quality of diabetes research by championing the inclusion of diverse populations, ensuring clarity of population definition and encouraging exploration of population differences. We review the terminology used to define populations and make recommendations on the use of these terms. We argue that population membership by itself does not determine risks or response to intervention; rather, it is the confluence of genetic, environmental, sociocultural and policy factors that are causal and should be identified. We note that, while common diabetes forms are polygenic and populations are unlikely to harbour single genes that account for significant risk, environmental change that impacts lifestyle and biology demonstrably alters diabetes risk and provides opportunities for effective intervention. Similarly, while genetic variants are associated with adverse events, population group membership may sometimes not be a valid proxy for such variants, which has implications for healthcare equity. For most drugs used in diabetes there is little evidence that drug responsiveness materially differs by population grouping, although it is only recently that well-designed studies have been performed. In contrast, other population characteristics, such as sex, age and obesity, appear to alter glucose-lowering drug effectiveness and should be considered when prescribing. Inclusion of diverse populations in diabetes research, combined with a multidisciplinary approach, is essential if we are to combat the global burden of diabetes.
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What Socratic 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 Socratic graph.