Individual responder analyses for pain: does one pain scale fit all?
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...
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| Published in | Trends in pharmacological sciences (Regular ed.) Vol. 26; no. 3; pp. 125 - 130 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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England
Elsevier Ltd
01.03.2005
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| 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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| AbstractList | 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. 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.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. |
| Author | Mogil, Jeffrey Dionne, Raymond A. Bartoshuk, Linda Witter, James |
| Author_xml | – sequence: 1 givenname: Raymond A. surname: Dionne fullname: Dionne, Raymond A. email: raymond.dionne@nih.gov organization: NIDCR, National Institutes of Health, 10 Center Drive, Room 1N-103, Bethesda, MD 20892-1197, USA – sequence: 2 givenname: Linda surname: Bartoshuk fullname: Bartoshuk, Linda organization: Yale University School of Medicine, Surgery PO Box 208041, New Haven, CT 06520-8041, USA – sequence: 3 givenname: Jeffrey surname: Mogil fullname: Mogil, Jeffrey organization: Department of Psychology and Centre for Research on Pain, McGill University, 1205 Dr Penfield Drive, Montreal, QC H3A 1B1, Canada – sequence: 4 givenname: James surname: Witter fullname: Witter, James organization: Food and Drug Administration, 9200 Corporate Boulevard, Rockville, MD 20850, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15749157$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Clinical Trials as Topic - methods Clinical Trials as Topic - trends Humans Pain - drug therapy Pain - physiopathology Pain Measurement - drug effects Pain Measurement - methods Pain Measurement - standards Reproducibility of Results |
| Title | Individual responder analyses for pain: does one pain scale fit all? |
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