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. 2022 Mar;10(3):154-157.
doi: 10.1016/S2213-8587(21)00328-4. Epub 2022 Jan 10.

Maximising use of population data on cardiometabolic diseases

Affiliations

Maximising use of population data on cardiometabolic diseases

David Flood et al. Lancet Diabetes Endocrinol. 2022 Mar.
No abstract available

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Conflict of interest statement

No support was received for writing this manuscript. Authors declare the following support or relationships within 36 months of submitting the work. DF reports a Pilot and Feasibility Grant funded by the Michigan Center for Diabetes Translational Research (US National Institutes of Health grant P30-DK092926) and a grant from the Swinmurn Foundation to implement a sustainable diabetes clinic in Guatemala. DF also reports volunteer affiliations with Wuqu' Kawoq and GlucoSalud. DF has received research fellowship funding from the National Clinician Scholars Program at the University of Michigan Institute for Healthcare Policy and Innovation. TB reports grants from the Alexander von Humboldt Foundation, Wellcome Trust, and US National Institutes of Health. RA reports contracts with Novo Nordisk, the Union for International Cancer Control, Novo Nordisk, Hoffman-La Roche, and Sloan Memorial Kettering Hospital. RA also reports payments or honorario from Merck and Hoffmann-La Roche. JD reports grants from UK MRC and National Institute for Health Research, and US National Institute of Health. All other authors declare no competing interests.

Figures

Figure:
Figure:
Steps to maximising data availability and its use.

References

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