J
Joachim Scholz
Researcher at Biogen Idec
Publications - Â 4
Citations - Â 442
Joachim Scholz is an academic researcher from Biogen Idec. The author has contributed to research in topics: Chronic pain & Clinical trial. The author has an hindex of 3, co-authored 4 publications receiving 244 citations. Previous affiliations of Joachim Scholz include Columbia University.
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Journal ArticleDOI
Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations.
Robert R. Edwards,Robert H. Dworkin,Dennis C. Turk,Martin S. Angst,Raymond A. Dionne,Roy Freeman,Per Hansson,Simon Haroutounian,Lars Arendt-Nielsen,Nadine Attal,R. Baron,Joanna M. Brell,Shay Bujanover,Laurie B. Burke,Daniel B. Carr,Amy S. Chappell,Penney Cowan,Mila Etropolski,Roger B. Fillingim,Jennifer S. Gewandter,Nathaniel P. Katz,Ernest A. Kopecky,John D. Markman,George G. Nomikos,Linda Porter,Bob A. Rappaport,Andrew S.C. Rice,Joseph M. Scavone,Joachim Scholz,Lee S. Simon,Shannon M. Smith,Jeffrey Tobias,Tina Tockarshewsky,Christine Veasley,Mark Versavel,Ajay D. Wasan,Warren Wen,David Yarnitsky +37 more
TL;DR: Evidence is presented on the most promising phenotypic characteristics of patients that are most predictive of individual variation in analgesic treatment outcomes, and the measurement tools that are best suited to evaluate these characteristics.
Journal ArticleDOI
Discovery and validation of biomarkers to aid the development of safe and effective pain therapeutics: challenges and opportunities.
Karen D. Davis,Karen D. Davis,Nima Aghaeepour,Andrew H. Ahn,Martin S. Angst,David Borsook,Ashley Brenton,Michael E. Burczynski,Christopher Crean,Robert R. Edwards,Brice Gaudilliere,Georgene W. Hergenroeder,Michael J. Iadarola,Smriti Iyengar,Yunyun Jiang,Jiang-Ti Kong,Sean Mackey,Carl Y. Saab,Christine N. Sang,Joachim Scholz,Märta Segerdahl,Irene Tracey,Christin Veasley,Jing Wang,Tor D. Wager,Ajay D. Wasan,Mary Ann Pelleymounter +26 more
TL;DR: The NIH-led Discovery and Validation of Biomarkers to Develop Non-Addictive Therapeutics for Pain workshop convened scientific leaders from academia, industry, government and patient advocacy groups to discuss progress, challenges, gaps and ideas to facilitate the development of biomarkers and end points for pain.
Journal ArticleDOI
Research approaches for evaluating opioid sparing in clinical trials of acute and chronic pain treatments: Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials recommendations.
Jennifer S. Gewandter,Shannon M. Smith,Robert H. Dworkin,Dennis C. Turk,Tong J. Gan,Ian Gilron,Sharon Hertz,Nathaniel P. Katz,John D. Markman,Srinivasa N. Raja,Michael C. Rowbotham,Brett R. Stacey,Eric C. Strain,Denham S. Ward,John T. Farrar,Kurt Kroenke,James P. Rathmell,Richard Rauck,Colville Brown,Penney Cowan,Robert R. Edwards,James C. Eisenach,McKenzie C Ferguson,Roy Freeman,Royston A. Gray,Kathryn Giblin,Hanna Grol-Prokopczyk,Jennifer A. Haythornthwaite,Robert N. Jamison,Marc O. Martel,Ewan McNicol,Michael L. Oshinsky,Friedhelm Sandbrink,Joachim Scholz,Richard Scranton,Lee S. Simon,Deborah Steiner,Kenneth M. Verburg,Ajay D. Wasan,Kerry Wentworth +39 more
TL;DR: In this paper, the authors present the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) consensus recommendations for the design of opioid-sparing clinical trials based on the following definition: any intervention that prevents the initiation of treatment with opioid analgesics, decreases the duration of such treatment, reduces the total dosages of opioids that are prescribed for or used by patients, or reduces opioidrelated adverse outcomes (without increasing opioid dosages), all without causing an unacceptable increase in pain.
Journal ArticleDOI
Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations
Robert R. Edwards,Robert H. Dworkin,Dennis C. Turk,Martin S. Angst,Raymond A. Dionne,Roy Freeman,Per Hansson,Simon Haroutounian,Lars Arendt-Nielsen,Nadine Attal,R. Baron,Joanna M. Brell,Shay Bujanover,Laurie B. Burke,Daniel B. Carr,Amy S. Chappell,Penney Cowan,Mila Etropolski,Roger B. Fillingim,Jennifer S. Gewandter,Nathaniel P. Katz,Ernest A. Kopecky,John D. Markman,George G. Nomikos,Linda Porter,Bob A. Rappaport,Andrew S.C. Rice,Joseph M. Scavone,Joachim Scholz,Lee S. Simon,Shannon M. Smith,Jeffrey Tobias,Tina Tockarshewsky,Christine Veasley,Mark Versavel,Ajay D. Wasan,Warren Wen,David Yarnitsky +37 more
TL;DR: Evidence is presented on the most promising phenotypic characteristics of patients that are most predictive of individual variation in analgesic treatment outcomes, and the measurement tools that are best suited to evaluate these characteristics.