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Identifying children who develop severe chronic kidney disease using primary care records

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Listed:
  • Lucy Plumb
  • Manish D Sinha
  • Timothy Jones
  • M Theresa Redaniel
  • Matthew J Ridd
  • Amanda Owen-Smith
  • Fergus J Caskey
  • Yoav Ben-Shlomo

Abstract

Background: Understanding whether symptoms suggestive of chronic kidney disease (CKD) are reported to primary care before diagnosis may provide opportunities for earlier detection, thus supporting strategies to prevent progression and improve long-term outcomes. Our aim was to determine whether symptoms/signs or consultation frequency recorded in primary care could predict a subsequent diagnosis of chronic kidney disease in children. Methods: We undertook a case-control study within Clinical Practice Research Datalink. Cases were children

Suggested Citation

  • Lucy Plumb & Manish D Sinha & Timothy Jones & M Theresa Redaniel & Matthew J Ridd & Amanda Owen-Smith & Fergus J Caskey & Yoav Ben-Shlomo, 2025. "Identifying children who develop severe chronic kidney disease using primary care records," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-14, February.
    • Handle: RePEc:plo:pone00:0314084
    DOI: 10.1371/journal.pone.0314084
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    1. repec:plo:pone00:0244709 is not listed on IDEAS
    2. B. M. Fernandez-Felix & E. García-Esquinas & A. Muriel & A. Royuela & J. Zamora, 2021. "Bootstrap internal validation command for predictive logistic regression models," Stata Journal, StataCorp LLC, vol. 21(2), pages 498-509, June.
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