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Updated: Jan 28, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
Published on: May 13, 2022
The 2018 ter Brugge Lecture: Problems with the Introduction of Innovations in Neurovascular Care
Jean Raymond1, Robert Fahed2, Daniel Roy1
1Service of Interventional Neuroradiology, Department of Radiology,Centre Hospitalier Universitaire de Montréal - CHUM,Montreal,Canada.
Abstract:
Most endovascular innovations have been introduced into clinical care by showing good outcomes in small enthusiastic case series of selected patients. Randomized clinical trials (RCTs) have rarely been performed, except for acute ischemic stroke, but even then most trial designs were too explanatory to inform clinical decisions. In this article, we review 2 × 2 tables and forest plots that summarize RCT results to examine methodological issues in the design and interpretation of clinical studies. Research results can apply in practice when RCTs are all-inclusive, pragmatic trials. Common problems include the following: (i) using restrictive eligibility criteria in explanatory trials, instead of including the diversity of patients in need of care, which hampers future generalizability of results; (ii) ignoring an entire line of the 2 × 2 table and excluding patients who do not meet the proposed criteria of a diagnostic test in its evaluation (perfusion studies) which renders clinical inferences misleading; (iii) ignoring an entire column of the 2 × 2 table and comparing different patients treated using the same treatment instead of different treatments in the same patients (the "wrong axis" comparisons of prognostic studies and clinical experience) which leads to unjustified treatment decisions and actions; or (iv) combining all aforementioned problems (case series and epidemiological studies). The most efficient and reliable way to improve patient outcomes, after as well as long before research results are available, is to change the way we practice: to use care trials to guide care in the presence of uncertainty.
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