Data from: Development and validation of prediction models of adverse kidney outcomes in the population with and without diabetes mellitus

  • Morgan E Grams (Creator)
  • Nigel J Brunskill (Creator)
  • Shoshana H Ballew (Creator)
  • Yingying Sang (Creator)
  • Josef Coresh (Creator)
  • Kunihiro Matsushita (Creator)
  • Simon Sawhney (Creator)



Objective: To predict adverse kidney outcomes for use in optimizing medical management and clinical trial design.

Data type

Figshare dataset

Copyright and Open Data Licencing

Date made available2022
PublisherUniversity of Aberdeen
  • Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes Mellitus

    Grams, M. E., Brunskill, N. J., Ballew, S. H., Sang, Y., Coresh, J., Matsushita, K., Surapaneni, A., Bell, S., Carrero, J. J., Chodick, G., Evans, M., Heerspink, H. J. L., Inker, L. A., Iseki, K., Kalra, P. A., Kirchner, H. L., Lee, B. J., Levin, A., Major, R. W., Medcalf, J., & 17 othersNadkarni, G. N., Naimark, D. M. J., Ricardo, A. C., Sawhney, S., Sood, M. M., Staplin, N., Stempniewicz, N., Stengel, B., Sumida, K., Traynor, J. P., van den Brand, J., Wen, C-P., Woodward, M., Yang, J. W., Wang, A. Y-M., Tangri, N. & CKD Prognosis Consortium, 1 Sept 2022, In: Diabetes Care. 45, 9, p. 2055-2063 8 p.

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

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