Mechanisms in Clinical Research and Medical Practice

In Mario Augusto Bunge, Michael R. Matthews, Guillermo M. Denegri, Eduardo L. Ortiz, Heinz W. Droste, Alberto Cordero, Pierre Deleporte, María Manzano, Manuel Crescencio Moreno, Dominique Raynaud, Íñigo Ongay de Felipe, Nicholas Rescher, Richard T. W. Arthur, Rögnvaldur D. Ingthorsson, Evandro Agazzi, Ingvar Johansson, Joseph Agassi, Nimrod Bar-Am, Alberto Cupani, Gustavo E. Romero, Andrés Rivadulla, Art Hobson, Olival Freire Junior, Peter Slezak, Ignacio Morgado-Bernal, Marta Crivos, Leonardo Ivarola, Andreas Pickel, Russell Blackford, Michael Kary, A. Z. Obiedat, Carolina I. García Curilaf, Rafael González del Solar, Luis Marone, Javier Lopez de Casenave, Francisco Yannarella, Mauro A. E. Chaparro, José Geiser Villavicencio- Pulido, Martín Orensanz, Jean-Pierre Marquis, Reinhard Kahle, Ibrahim A. Halloun, José María Gil, Omar Ahmad, Byron Kaldis, Marc Silberstein, Carolina I. García Curilaf, Rafael González del Solar, Javier Lopez de Casenave, Íñigo Ongay de Felipe & Villavicencio-Pulid (eds.), Mario Bunge: A Centenary Festschrift. Springer Verlag. pp. 735-749 (2019)
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Abstract

Mario Bunge’s medical philosophy emphasizes the importance of mechanismic models in guiding the design, analysis, and practical application of clinical research. By contrast, the Evidence-Based Medicine movement regards mechanismic hypotheses as “evidence” dissociable from, and of secondary importance to, the findings of experimental research. In agreement with Bunge, it is argued here that mechanismic models and mechanismic thinking play essential roles in both clinical research and practice. Mechanismic models in medicine view health and disease as emergent processes occurring in complex biological systems and draw upon established scientific knowledge from multiple disciplines to help identify and control parameters that have decisive effects on clinical outcomes. Models play an essential role in designing efficient and reliable population-based studies, and in detecting and correcting for random error and systematic bias in clinical research. They are important both for extrapolating the results of clinical research to novel contexts and for tailoring interventions to the specific circumstances of an individual case. Contrary to the subordinate status they are accorded by EBM, empirically-validated mechanismic models should constitute the foundation of a scientific approach to medicine.

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