Translational Medicine Communications (Nov 2022)

Planning preclinical confirmatory multicenter trials to strengthen translation from basic to clinical research – a multi-stakeholder workshop report

  • Natascha Ingrid Drude,
  • Lorena Martinez-Gamboa,
  • Meggie Danziger,
  • Anja Collazo,
  • Silke Kniffert,
  • Janine Wiebach,
  • Gustav Nilsonne,
  • Frank Konietschke,
  • Sophie K. Piper,
  • Samuel Pawel,
  • Charlotte Micheloud,
  • Leonhard Held,
  • Florian Frommlet,
  • Daniel Segelcke,
  • Esther M. Pogatzki-Zahn,
  • Bernhard Voelkl,
  • Tim Friede,
  • Edgar Brunner,
  • Astrid Dempfle,
  • Bernhard Haller,
  • Marie Juliane Jung,
  • Lars Björn Riecken,
  • Hans-Georg Kuhn,
  • Matthias Tenbusch,
  • Lina Maria Serna Higuita,
  • Edmond J. Remarque,
  • Servan Luciano Grüninger-Egli,
  • Katrin Manske,
  • Sebastian Kobold,
  • Marion Rivalan,
  • Lisa Wedekind,
  • Juliane C. Wilcke,
  • Anne-Laure Boulesteix,
  • Marcus W. Meinhardt,
  • Rainer Spanagel,
  • Simone Hettmer,
  • Irene von Lüttichau,
  • Carla Regina,
  • Ulrich Dirnagl,
  • Ulf Toelch

DOI
https://doi.org/10.1186/s41231-022-00130-8
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 13

Abstract

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Abstract Clinical translation from bench to bedside often remains challenging even despite promising preclinical evidence. Among many drivers like biological complexity or poorly understood disease pathology, preclinical evidence often lacks desired robustness. Reasons include low sample sizes, selective reporting, publication bias, and consequently inflated effect sizes. In this context, there is growing consensus that confirmatory multicenter studies -by weeding out false positives- represent an important step in strengthening and generating preclinical evidence before moving on to clinical research. However, there is little guidance on what such a preclinical confirmatory study entails and when it should be conducted in the research trajectory. To close this gap, we organized a workshop to bring together statisticians, clinicians, preclinical scientists, and meta-researcher to discuss and develop recommendations that are solution-oriented and feasible for practitioners. Herein, we summarize and review current approaches and outline strategies that provide decision-critical guidance on when to start and subsequently how to plan a confirmatory study. We define a set of minimum criteria and strategies to strengthen validity before engaging in a confirmatory preclinical trial, including sample size considerations that take the inherent uncertainty of initial (exploratory) studies into account. Beyond this specific guidance, we highlight knowledge gaps that require further research and discuss the role of confirmatory studies in translational biomedical research. In conclusion, this workshop report highlights the need for close interaction and open and honest debate between statisticians, preclinical scientists, meta-researchers (that conduct research on research), and clinicians already at an early stage of a given preclinical research trajectory.

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