Rate and predictors of the conversion of abstracts presented at the Canadian Cardiovascular Congress scientific meetings to full peer-reviewed publications

Can J Cardiol. 2013 Nov;29(11):1520-3. doi: 10.1016/j.cjca.2013.06.012.

Abstract

The rate of conversion of abstracts presented at scientific meetings into peer-reviewed published manuscripts is an important metric for medical societies, because it facilitates translation of scientific knowledge into practice. We determined the rate and predictors of conversion of scientific abstracts presented at the Canadian Cardiovascular Congress (CCC) from 2006 to 2010 into peer-reviewed article publications within 2 years of their initial presentation. Using a previously validated computer algorithm, we searched the International Statistical Institute Web of Science to identify peer-reviewed full manuscript publications of these abstracts. A multivariable logistic regression was used to identify independent factors associated with successful publication. From 2006 to 2010, 3565 abstracts were presented at the CCC. Overall 24.1% of presented abstracts were published within 2 years of the conference. Mean impact factor for publications was 5.2 (range, 0.4-53.2). The type of presentation (for poster vs oral; odds ratio, 0.71; 95% confidence interval, 0.60-0.83; P < 0.001) and category of presentation (P < 0.001) were significantly associated with successful publication. Late breaking abstracts and those related to cancer and clinical sciences were more likely to be published, compared with prevention, vascular biology, and pediatrics. In conclusion, the publication rate at the CCC is only marginally lower than that reported for large international North American and European cardiology conferences (30.6%). Efforts should focus on several identified barriers to improve conversion of abstracts to full report publication.

MeSH terms

  • Abstracting and Indexing / statistics & numerical data*
  • Algorithms
  • Cardiology
  • Congresses as Topic
  • Humans
  • Journal Impact Factor
  • Multivariate Analysis
  • Peer Review, Research*
  • Publishing / statistics & numerical data*