Literature DB >> 15492984

Evidence-based medicine, medical decision analysis, and pathology.

Alberto M Marchevsky1, Mark R Wick.   

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.

Entities:  

Mesh:

Year:  2004        PMID: 15492984     DOI: 10.1016/j.humpath.2004.06.004

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  11 in total

Review 1.  What is quality in surgical pathology?

Authors:  R E Nakhleh
Journal:  J Clin Pathol       Date:  2006-07       Impact factor: 3.411

2.  Unison or cacophony: postgraduate training in pathology in Europe.

Authors:  Fred T Bosman; Jan G van den Tweel
Journal:  Virchows Arch       Date:  2009-03-03       Impact factor: 4.064

Review 3.  Can artificial intelligence overtake human intelligence on the bumpy road towards glioma therapy?

Authors:  Precilla S Daisy; T S Anitha
Journal:  Med Oncol       Date:  2021-04-03       Impact factor: 3.064

4.  Overview of laboratory data tools available in a single electronic medical record.

Authors:  Neil R Kudler; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2010-05-26

Review 5.  Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.

Authors:  Fabrício Guimarães Gonçalves; Sanjeev Chawla; Suyash Mohan
Journal:  J Magn Reson Imaging       Date:  2020-03-19       Impact factor: 4.813

Review 6.  Localized malignant mesothelioma, an unusual and poorly characterized neoplasm of serosal origin: best current evidence from the literature and the International Mesothelioma Panel.

Authors:  Alberto M Marchevsky; Andras Khoor; Ann E Walts; Andrew G Nicholson; Yu Zhi Zhang; Victor Roggli; John Carney; Anja C Roden; Henry D Tazelaar; Brandon T Larsen; Nolwenn LeStang; Lucian R Chirieac; Sonja Klebe; Ming-Sound Tsao; Marc De Perrot; Andrew Pierre; David M Hwang; Yin P Hung; Mari Mino-Kenudson; William Travis; Jennifer Sauter; Mary Beth Beasley; Françoise Galateau-Sallé
Journal:  Mod Pathol       Date:  2019-09-04       Impact factor: 7.842

7.  Health care systems in Sweden and China: Legal and formal organisational aspects.

Authors:  Björn Albin; Katarina Hjelm; Wen Chang Zhang
Journal:  Health Res Policy Syst       Date:  2010-06-22

8.  The pathology informatics curriculum wiki: Harnessing the power of user-generated content.

Authors:  Ji Yeon Kim; Thomas M Gudewicz; Anand S Dighe; John R Gilbertson
Journal:  J Pathol Inform       Date:  2010-07-13

Review 9.  Quality and safety aspects in histopathology laboratory.

Authors:  Soniya Adyanthaya; Maji Jose
Journal:  J Oral Maxillofac Pathol       Date:  2013-09

Review 10.  Pathogen profiling for disease management and surveillance.

Authors:  Vitali Sintchenko; Jonathan R Iredell; Gwendolyn L Gilbert
Journal:  Nat Rev Microbiol       Date:  2007-05-08       Impact factor: 60.633

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