Literature DB >> 15749157

Individual responder analyses for pain: does one pain scale fit all?

Raymond A Dionne1, Linda Bartoshuk, Jeffrey Mogil, James Witter.   

Abstract

The outcomes of clinical trials are based on the mean responses of large numbers of subjects but fail to address inter-individual differences. The molecular mechanisms that underlie pain vary among individuals over time and among different types of pain to produce wide inter-individual variations in pain perception and response. Gender, ethnicity, temperament and genetic factors also contribute to individual variation in pain sensitivity and responses to analgesics. Pain measurement scales can be used differently across individuals based on the past pain experiences of individuals. We propose that individual responder analyses could be used in clinical trials to better detect analgesic activity across patient groups and within sub-groups, and to identify molecular-genetic mechanisms that contribute to individual variation.

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Year:  2005        PMID: 15749157     DOI: 10.1016/j.tips.2005.01.009

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  29 in total

Review 1.  Individual differences in pain responses.

Authors:  Roger B Fillingim
Journal:  Curr Rheumatol Rep       Date:  2005-10       Impact factor: 4.592

2.  The use of a responder analysis to identify differences in patient outcomes following a self-care intervention to improve cancer pain management.

Authors:  Christine Miaskowski; Marylin Dodd; Claudia West; Steven M Paul; Karen Schumacher; Debu Tripathy; Peter Koo
Journal:  Pain       Date:  2007-01-25       Impact factor: 6.961

3.  The Brief Pain Inventory and its "pain at its worst in the last 24 hours" item: clinical trial endpoint considerations.

Authors:  Thomas M Atkinson; Tito R Mendoza; Laura Sit; Steven Passik; Howard I Scher; Charles Cleeland; Ethan Basch
Journal:  Pain Med       Date:  2010-01-15       Impact factor: 3.750

Review 4.  Psychophysics of sweet and fat perception in obesity: problems, solutions and new perspectives.

Authors:  Linda M Bartoshuk; Valerie B Duffy; John E Hayes; Howard R Moskowitz; Derek J Snyder
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-07-29       Impact factor: 6.237

Review 5.  Sex differences in pain and pain inhibition: multiple explanations of a controversial phenomenon.

Authors:  Jeffrey S Mogil
Journal:  Nat Rev Neurosci       Date:  2012-12       Impact factor: 34.870

6.  Establishing mild, moderate, and severe scores for cancer-related symptoms: how consistent and clinically meaningful are interference-based severity cut-points?

Authors:  Barbara Given; Charles W Given; Alla Sikorskii; Sangchoon Jeon; Ruth McCorkle; Victoria Champion; David Decker
Journal:  J Pain Symptom Manage       Date:  2007-12-26       Impact factor: 3.612

7.  Do past pain events systematically impact pain ratings of healthy subjects or fibromyalgia patients?

Authors:  Roland Staud; Michael E Robinson; Donald D Price
Journal:  J Pain       Date:  2009-09-26       Impact factor: 5.820

Review 8.  Do interference-based cut-points differentiate mild, moderate, and severe levels of 16 cancer-related symptoms over time?

Authors:  Sangchoon Jeon; Charles W Given; Alla Sikorskii; Barbara Given
Journal:  J Pain Symptom Manage       Date:  2008-07-10       Impact factor: 3.612

9.  Ethnic differences in diffuse noxious inhibitory controls.

Authors:  Claudia M Campbell; Christopher R France; Michael E Robinson; Henrietta L Logan; Gary R Geffken; Roger B Fillingim
Journal:  J Pain       Date:  2008-05-14       Impact factor: 5.820

10.  Prescription coverage in indigent patients affects the use of long-acting opioids in the management of cancer pain.

Authors:  Robert Wieder; Nila Delarosa; Margarette Bryan; Ann Marie Hill; William J Amadio
Journal:  Pain Med       Date:  2013-09-23       Impact factor: 3.750

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