World Journal of Cardiovascular Diseases

Volume 5, Issue 1 (January 2015)

ISSN Print: 2164-5329   ISSN Online: 2164-5337

Google-based Impact Factor: 0.38  Citations  

Some Methods to Maximize Extraction of Scientific Knowledge from Parallel Group Randomized Trials

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DOI: 10.4236/wjcd.2015.51003    2,564 Downloads   3,245 Views  Citations

ABSTRACT

The amount of scientific knowledge from randomized parallel group trials have been improved by the CONSORT Guideline, but important intelligence with important clinical implications remains to be extracted. This may though be obtained if the conventional statistical significance testing is supplied by 1) Addition of an unbiased and reproducible quantification of the magnitude or size of the clinical significance/importance of a difference in treatment outcome; 2) Addition of a quantification of the credulity of statements on any possible effect size and finally; 3) Addition of a quantification of the risk of committing an error when the null hypothesis is either accepted or rejected. These matters are crucial to proper conversion of trial results into good usage in every-day clinical practice and may produce immediate therapeutic consequence in quite opposite direction to the usual ones. In our drug eluting stent trial “SORT OUT II”, the implementation of our suggestions would have led to immediate cessation of use of the paclitaxel-eluting stent, which the usual Consort like reporting did not lead to. Consequently harm to subsequent patients treated by this stent might have been avoided. Our suggestions are also useful in cancer treatment trials and in fact generally so in most randomized trial. Therefore increased scientific knowledge with immediate and potentially altered clinical consequence may be the result if hypothesis testing is made complete and the corresponding adjustments are added to the CONSORT Guideline—first of all— for the potential benefit of future patients.

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Galløe, A. and Larsen, C. (2015) Some Methods to Maximize Extraction of Scientific Knowledge from Parallel Group Randomized Trials. World Journal of Cardiovascular Diseases, 5, 19-26. doi: 10.4236/wjcd.2015.51003.

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