This article is based on the lecture given at the European Society of Clinical Investigation Annual Meeting in Uppsala, Sweden, in April 2007 on the occasion of the 2007 ESCI Award for Excellence in Clinical Science.
Molecular evidence-based medicine
Evolution and integration of information in the genomic era
Article first published online: 24 APR 2007
European Journal of Clinical Investigation
Volume 37, Issue 5, pages 340–349, May 2007
How to Cite
Ioannidis, J. P. A. (2007), Molecular evidence-based medicine. European Journal of Clinical Investigation, 37: 340–349. doi: 10.1111/j.1365-2362.2007.01794.x
Clinical and Molecular Epidemiology Unit and Evidence-Based Medicine and Clinical Trials Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Greece; Biomedical Research Institute-Foundation for Research and Technology-Hellas, Ioannina, Greece; Department of Medicine, Tufts University School of Medicine, Boston, USA (J. P. A. Ioannidis).
- Issue published online: 24 APR 2007
- Article first published online: 24 APR 2007
- Received 9 January 2007; accepted 23 January 2007
- Evidence-based medicine;
- molecular medicine;
Evidence-based medicine and molecular medicine have both been influential in biomedical research in the last 15 years. Despite following largely parallel routes to date, the goals and principles of evidence-based and molecular medicine are complementary and they should be converging. I define molecular evidence-based medicine as the study of medical information that makes sense of the advances of molecular biological disciplines and where errors and biases are properly appreciated and placed in context. Biomedical measurement capacity improves very rapidly. The exponentially growing mass of hypotheses being tested requires a new approach to both statistical and biological inference. Multidimensional biology requires careful exact replication of research findings, but indirect corroboration is often all that is achieved at best. Besides random error, bias remains a major threat. It is often difficult to separate bias from the spirit of scientific inquiry to force data into coherent and ‘significant’ biological stories. Transparency and public availability of protocols, data, analyses and results may be crucial to make sense of the complex biology of human disease and avoid being flooded by spurious research findings. Research efforts should be integrated across teams in an open, sharing environment. Most research in the future may be designed, performed, and integrated in the public cyberspace.