Predictors of duloxetine response in patients with neuropathic cancer pain: a secondary analysis of a randomized controlled trial—JORTC-PAL08 (DIRECT) study
Matsuoka, H
Iwase, S
Miyaji, T
Kawaguchi, T
Ariyoshi, K
Oyamada, S
Satomi, E
Ishiki, H
Hasuo, H
Sakuma, H
Tokoro, A
Matsuda, Y
Tahara, K
Otani, H
Ohtake, Y
Tsukuura, H
Matsumoto, Y
Hasegawa, Y
Kataoka, Y
Otsuka, M
Sakai, K
Nakura, M
Morita, T
Yamaguchi, T
Koyama, A
- Publisher:
- Springer Science and Business Media LLC
- Publication Type:
- Journal Article
- Citation:
- Supportive Care in Cancer, 2020, 28, (6), pp. 2931-2939
- Issue Date:
- 2020
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Matsuoka2020_Article_PredictorsOfDuloxetineResponse.pdf | Published version | 459.79 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Matsuoka, H | |
dc.contributor.author | Iwase, S | |
dc.contributor.author | Miyaji, T | |
dc.contributor.author | Kawaguchi, T | |
dc.contributor.author | Ariyoshi, K | |
dc.contributor.author | Oyamada, S | |
dc.contributor.author | Satomi, E | |
dc.contributor.author | Ishiki, H | |
dc.contributor.author | Hasuo, H | |
dc.contributor.author | Sakuma, H | |
dc.contributor.author | Tokoro, A | |
dc.contributor.author | Matsuda, Y | |
dc.contributor.author | Tahara, K | |
dc.contributor.author | Otani, H | |
dc.contributor.author | Ohtake, Y | |
dc.contributor.author | Tsukuura, H | |
dc.contributor.author | Matsumoto, Y | |
dc.contributor.author | Hasegawa, Y | |
dc.contributor.author | Kataoka, Y | |
dc.contributor.author | Otsuka, M | |
dc.contributor.author | Sakai, K | |
dc.contributor.author | Nakura, M | |
dc.contributor.author | Morita, T | |
dc.contributor.author | Yamaguchi, T | |
dc.contributor.author | Koyama, A | |
dc.date.accessioned | 2020-09-02T01:39:35Z | |
dc.date.available | 2019-10-16 | |
dc.date.available | 2020-09-02T01:39:35Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Supportive Care in Cancer, 2020, 28, (6), pp. 2931-2939 | |
dc.identifier.issn | 0941-4355 | |
dc.identifier.issn | 1433-7339 | |
dc.identifier.uri | http://hdl.handle.net/10453/142487 | |
dc.description.abstract | © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Purpose: Duloxetine has some effect against cancer neuropathic pain (CNP); however, predictors of duloxetine response are unclear. This study sought to identify predictors of duloxetine response in patients with CNP. Methods: Patients (N = 70) with CNP unresponsive to or intolerant of opioid–pregabalin combination therapy, with a brief pain inventory-short form (BPI-SF) Item 5 score (average pain) ≥ 4, and with a total hospital anxiety and depression scale score < 20, were randomized to a duloxetine or a placebo group. Multiple linear regression analysis was conducted to identify predictors of duloxetine response as a secondary analysis with the change in the average pain score on day 10 from day 0 as the dependent variable, and the following five covariates; baseline (day 0) average pain score, baseline opioid dose, continuation/discontinuation of pregabalin, and items 20 and 21 score of the short-form McGill pain questionnaire 2 (SF-MPQ-2) as independent variables. Results: Of the four domains (continuous pain, intermittent pain, neuropathic pain, and affective descriptors) score of SF-MPQ-2 on day 0, significant differences were observed in the neuropathic pain domain (p = 0.040) in change on the average pain between day 10 and day 0 in the duloxetine group. Multiple linear regression analysis revealed that patients with a high score for SF-MPQ-2 Item 21 (tingling pain) on day 0 had a significantly greater change in average pain between day 10 and day 0 (p = 0.046). Conclusion: Patients with a high score for SF-MPQ-2 Item 21 might benefit more from duloxetine. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | Supportive Care in Cancer | |
dc.relation.isbasedon | 10.1007/s00520-019-05138-9 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | 11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences | |
dc.subject.classification | Oncology & Carcinogenesis | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Neoplasms | |
dc.subject.mesh | Neuralgia | |
dc.subject.mesh | Placebos | |
dc.subject.mesh | Pain Measurement | |
dc.subject.mesh | Prognosis | |
dc.subject.mesh | Treatment Outcome | |
dc.subject.mesh | Double-Blind Method | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Japan | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Chronic Pain | |
dc.subject.mesh | Duloxetine Hydrochloride | |
dc.subject.mesh | Cancer Pain | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Cancer Pain | |
dc.subject.mesh | Chronic Pain | |
dc.subject.mesh | Double-Blind Method | |
dc.subject.mesh | Duloxetine Hydrochloride | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Japan | |
dc.subject.mesh | Male | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Neoplasms | |
dc.subject.mesh | Neuralgia | |
dc.subject.mesh | Pain Measurement | |
dc.subject.mesh | Placebos | |
dc.subject.mesh | Prognosis | |
dc.subject.mesh | Treatment Outcome | |
dc.title | Predictors of duloxetine response in patients with neuropathic cancer pain: a secondary analysis of a randomized controlled trial—JORTC-PAL08 (DIRECT) study | |
dc.type | Journal Article | |
utslib.citation.volume | 28 | |
utslib.location.activity | Germany | |
utslib.for | 11 Medical and Health Sciences | |
utslib.for | 17 Psychology and Cognitive Sciences | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney | |
utslib.copyright.status | closed_access | * |
pubs.consider-herdc | true | |
dc.date.updated | 2020-09-02T01:39:28Z | |
pubs.issue | 6 | |
pubs.publication-status | Published | |
pubs.volume | 28 | |
utslib.citation.issue | 6 |
Abstract:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Purpose: Duloxetine has some effect against cancer neuropathic pain (CNP); however, predictors of duloxetine response are unclear. This study sought to identify predictors of duloxetine response in patients with CNP. Methods: Patients (N = 70) with CNP unresponsive to or intolerant of opioid–pregabalin combination therapy, with a brief pain inventory-short form (BPI-SF) Item 5 score (average pain) ≥ 4, and with a total hospital anxiety and depression scale score < 20, were randomized to a duloxetine or a placebo group. Multiple linear regression analysis was conducted to identify predictors of duloxetine response as a secondary analysis with the change in the average pain score on day 10 from day 0 as the dependent variable, and the following five covariates; baseline (day 0) average pain score, baseline opioid dose, continuation/discontinuation of pregabalin, and items 20 and 21 score of the short-form McGill pain questionnaire 2 (SF-MPQ-2) as independent variables. Results: Of the four domains (continuous pain, intermittent pain, neuropathic pain, and affective descriptors) score of SF-MPQ-2 on day 0, significant differences were observed in the neuropathic pain domain (p = 0.040) in change on the average pain between day 10 and day 0 in the duloxetine group. Multiple linear regression analysis revealed that patients with a high score for SF-MPQ-2 Item 21 (tingling pain) on day 0 had a significantly greater change in average pain between day 10 and day 0 (p = 0.046). Conclusion: Patients with a high score for SF-MPQ-2 Item 21 might benefit more from duloxetine.
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