articleJAMAFeb 24, 2009Closed access

Scientific Evidence Underlying the ACC/AHA Clinical Practice Guidelines

Clinical Research Institute · Duke University

PubMed
Indexed incrossrefpubmed

Abstract

Objective

To describe the evolution of recommendations in ACC/AHA cardiovascular guidelines and the distribution of recommendations across classes of recommendations and levels of evidence. DATA SOURCES AND STUDY SELECTION: Data from all ACC/AHA practice guidelines issued from 1984 to September 2008 were abstracted by personnel in the ACC Science and Quality Division. Fifty-three guidelines on 22 topics, including a total of 7196 recommendations, were abstracted. DATA EXTRACTION: The number of recommendations and the distribution of classes of recommendation (I, II, and III) and levels of evidence (A, B, and C) were determined. The subset of guidelines that were current as of September 2008 was evaluated to describe changes in recommendations between the first and current versions as well as patterns in levels of evidence used in the current versions.

Results

Among guidelines with at least 1 revision or update by September 2008, the number of recommendations increased from 1330 to 1973 (+48%) from the first to the current version, with the largest increase observed in use of class II recommendations. Considering the 16 current guidelines reporting levels of evidence, only 314 recommendations of 2711 total are classified as level of evidence A (median, 11%), whereas 1246 (median, 48%) are level of evidence C. Level of evidence significantly varies across categories of guidelines (disease, intervention, or diagnostic) and across individual guidelines. Recommendations with level of evidence A are mostly concentrated in class I, but only 245 of 1305 class I recommendations have level of evidence A (median, 19%).

Citation impact

915
total citations
FWCI
110.53
Percentile
100%
References
90
Citations per year

Authors

1

Topics & keywords

Keywords
  • Medicine
  • Context (archaeology)
  • Evidence-based medicine
  • Data extraction
  • Evidence-based practice
  • MEDLINE
  • Family medicine
  • Alternative medicine
UN Sustainable Development Goals
  • Quality Education
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