title: Evidence-based medicine, medical decision analysis, and pathology.
abstract: Recent advances in molecular pathology and other technologies such as proteomics present pathologists with the challenge of integrating the new information generated with high-throughput methods with current diagnostic models based mostly on histopathology and clinicopathologic correlations. Parallel developments in the field of medical informatics and bioinformatics provide the technical and mathematical methods to approach these problems in a rational manner. However, it remains unclear whether pathologists or other medical specialists will become primarily responsible for the development and maintenance of these multivariate and multidisciplinary diagnostic and prognostic models that are hoped to provide more accurate, individualized patient-based information. Evidence-based medicine (EBM) and medical decision analysis (MDA) are relatively new disciplines that use quantitative methods to assess the value of information, differentiate fact from myth, and integrate so-called best evidence into multivariate models for the assessment of prognosis, response to therapy, selection of laboratory tests, and other complex problems that influence individual patient care. We review from an epistemological viewpoint the current approach to information in pathology and describe some of the concepts developed by the practitioners of EBM and MDA.
authors.affiliation: Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
authors.forename: Alberto M
authors.initials: AM
authors.lastname: Marchevsky
authors.forename: Mark R
authors.initials: MR
authors.lastname: Wick
mesh_terms: D019295:Computational Biology; D003661:Decision Support Techniques; D004502:Education, Medical, Continuing; D019317:Evidence-Based Medicine; D006801:Humans; D010338:Pathology, Clinical