Recommendations for kidney disease guideline updating: A report by the KDIGO Methods Committee

Katrin Uhlig, Jeffrey S. Berns, Serena Carville, Wiley Chan, Michael Cheung, Gordon H. Guyatt, Allyson Hart, Sandra Zelman Lewis, Marcello Tonelli, Angela C. Webster, Timothy J. Wilt, Bertram L. Kasiske

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Updating rather than de novo guideline development now accounts for the majority of guideline activities for many guideline development organizations, including Kidney Disease: Improving Global Outcomes (KDIGO), an international kidney disease guideline development entity that has produced guidelines on kidney diseases since 2008. Increasingly, guideline developers are moving away from updating at fixed intervals in favor of more flexible approaches that use periodic expert assessment of guideline currency (with or without an updated systematic review) to determine the need for updating. Determining the need for guideline updating in an efficient, transparent, and timely manner is challenging, and updating of systematic reviews and guidelines is labor intensive. Ideally, guidelines should be updated dynamically when new evidence indicates a need for a substantive change in the guideline based on a priori criteria. This dynamic updating (sometimes referred to as a living guideline model) can be facilitated with the use of integrated electronic platforms that allow updating of specific recommendations. This report summarizes consensus-based recommendations from a panel of guideline methodology professionals on how to keep KDIGO guidelines up to date.

Original languageEnglish (US)
Pages (from-to)753-760
Number of pages8
JournalKidney international
Volume89
Issue number4
DOIs
StatePublished - Apr 1 2016

Bibliographical note

Publisher Copyright:
© 2016 International Society of Nephrology.

Keywords

  • clinical practice guideline
  • guideline development
  • guideline updating
  • nephrology
  • systematic reviews

Fingerprint

Dive into the research topics of 'Recommendations for kidney disease guideline updating: A report by the KDIGO Methods Committee'. Together they form a unique fingerprint.

Cite this