Moderators of the effect of psychosocial interventions on fatigue in women with breast cancer and men with prostate cancer: Individual patient data meta-analyses.
Abrahams, HJG
Knoop, H
Schreurs, M
Aaronson, NK
Jacobsen, PB
Newton, RU
Courneya, KS
Aitken, JF
Arving, C
Brandberg, Y
Chambers, SK
Gielissen, MFM
Glimelius, B
Goedendorp, MM
Graves, KD
Heiney, SP
Horne, R
Hunter, MS
Johansson, B
Northouse, LL
Oldenburg, HSA
Prins, JB
Savard, J
van Beurden, M
van den Berg, SW
Verdonck-de Leeuw, IM
Buffart, LM
- Publisher:
- Wiley
- Publication Type:
- Journal Article
- Citation:
- Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer, 2020, 29, (11), pp. 1772-1785
- Issue Date:
- 2020-11
Closed Access
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pon.5522.pdf | Published version | 1.78 MB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Abrahams, HJG | |
dc.contributor.author | Knoop, H | |
dc.contributor.author | Schreurs, M | |
dc.contributor.author | Aaronson, NK | |
dc.contributor.author | Jacobsen, PB | |
dc.contributor.author | Newton, RU | |
dc.contributor.author | Courneya, KS | |
dc.contributor.author | Aitken, JF | |
dc.contributor.author | Arving, C | |
dc.contributor.author | Brandberg, Y | |
dc.contributor.author | Chambers, SK | |
dc.contributor.author | Gielissen, MFM | |
dc.contributor.author | Glimelius, B | |
dc.contributor.author | Goedendorp, MM | |
dc.contributor.author | Graves, KD | |
dc.contributor.author | Heiney, SP | |
dc.contributor.author | Horne, R | |
dc.contributor.author | Hunter, MS | |
dc.contributor.author | Johansson, B | |
dc.contributor.author | Northouse, LL | |
dc.contributor.author | Oldenburg, HSA | |
dc.contributor.author | Prins, JB | |
dc.contributor.author | Savard, J | |
dc.contributor.author | van Beurden, M | |
dc.contributor.author | van den Berg, SW | |
dc.contributor.author | Verdonck-de Leeuw, IM | |
dc.contributor.author | Buffart, LM | |
dc.date.accessioned | 2021-03-18T02:43:36Z | |
dc.date.available | 2020-07-29 | |
dc.date.available | 2021-03-18T02:43:36Z | |
dc.date.issued | 2020-11 | |
dc.identifier.citation | Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer, 2020, 29, (11), pp. 1772-1785 | |
dc.identifier.issn | 1057-9249 | |
dc.identifier.issn | 1099-1611 | |
dc.identifier.uri | http://hdl.handle.net/10453/147316 | |
dc.description.abstract | <h4>Objective</h4>Psychosocial interventions can reduce cancer-related fatigue effectively. However, it is still unclear if intervention effects differ across subgroups of patients. These meta-analyses aimed at evaluating moderator effects of (a) sociodemographic characteristics, (b) clinical characteristics, (c) baseline levels of fatigue and other symptoms, and (d) intervention-related characteristics on the effect of psychosocial interventions on cancer-related fatigue in patients with non-metastatic breast and prostate cancer.<h4>Methods</h4>Data were retrieved from the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) consortium. Potential moderators were studied with meta-analyses of pooled individual patient data from 14 randomized controlled trials through linear mixed-effects models with interaction tests. The analyses were conducted separately in patients with breast (n = 1091) and prostate cancer (n = 1008).<h4>Results</h4>Statistically significant, small overall effects of psychosocial interventions on fatigue were found (breast cancer: β = -0.19 [95% confidence interval (95%CI) = -0.30; -0.08]; prostate cancer: β = -0.11 [95%CI = -0.21; -0.00]). In both patient groups, intervention effects did not differ significantly by sociodemographic or clinical characteristics, nor by baseline levels of fatigue or pain. For intervention-related moderators (only tested among women with breast cancer), statistically significant larger effects were found for cognitive behavioral therapy as intervention strategy (β = -0.27 [95%CI = -0.40; -0.15]), fatigue-specific interventions (β = -0.48 [95%CI = -0.79; -0.18]), and interventions that only targeted patients with clinically relevant fatigue (β = -0.85 [95%CI = -1.40; -0.30]).<h4>Conclusions</h4>Our findings did not provide evidence that any selected demographic or clinical characteristic, or baseline levels of fatigue or pain, moderated effects of psychosocial interventions on fatigue. A specific focus on decreasing fatigue seems beneficial for patients with breast cancer with clinically relevant fatigue. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | Wiley | |
dc.relation.ispartof | Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer | |
dc.relation.isbasedon | 10.1002/pon.5522 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 1103 Clinical Sciences, 1112 Oncology and Carcinogenesis, 1701 Psychology | |
dc.subject.classification | Oncology & Carcinogenesis | |
dc.subject.mesh | Breast Neoplasms | |
dc.subject.mesh | Fatigue | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Prostatic Neoplasms | |
dc.subject.mesh | Psychosocial Intervention | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Social Support | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Breast Neoplasms | |
dc.subject.mesh | Prostatic Neoplasms | |
dc.subject.mesh | Fatigue | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Social Support | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Psychosocial Intervention | |
dc.subject.mesh | Breast Neoplasms | |
dc.subject.mesh | Fatigue | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Prostatic Neoplasms | |
dc.subject.mesh | Psychosocial Intervention | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Social Support | |
dc.title | Moderators of the effect of psychosocial interventions on fatigue in women with breast cancer and men with prostate cancer: Individual patient data meta-analyses. | |
dc.type | Journal Article | |
utslib.citation.volume | 29 | |
utslib.location.activity | England | |
utslib.for | 1103 Clinical Sciences | |
utslib.for | 1112 Oncology and Carcinogenesis | |
utslib.for | 1701 Psychology | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
utslib.copyright.status | closed_access | * |
pubs.consider-herdc | true | |
dc.date.updated | 2021-03-18T02:43:34Z | |
pubs.issue | 11 | |
pubs.publication-status | Published | |
pubs.volume | 29 | |
utslib.citation.issue | 11 |
Abstract:
Objective
Psychosocial interventions can reduce cancer-related fatigue effectively. However, it is still unclear if intervention effects differ across subgroups of patients. These meta-analyses aimed at evaluating moderator effects of (a) sociodemographic characteristics, (b) clinical characteristics, (c) baseline levels of fatigue and other symptoms, and (d) intervention-related characteristics on the effect of psychosocial interventions on cancer-related fatigue in patients with non-metastatic breast and prostate cancer.Methods
Data were retrieved from the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) consortium. Potential moderators were studied with meta-analyses of pooled individual patient data from 14 randomized controlled trials through linear mixed-effects models with interaction tests. The analyses were conducted separately in patients with breast (n = 1091) and prostate cancer (n = 1008).Results
Statistically significant, small overall effects of psychosocial interventions on fatigue were found (breast cancer: β = -0.19 [95% confidence interval (95%CI) = -0.30; -0.08]; prostate cancer: β = -0.11 [95%CI = -0.21; -0.00]). In both patient groups, intervention effects did not differ significantly by sociodemographic or clinical characteristics, nor by baseline levels of fatigue or pain. For intervention-related moderators (only tested among women with breast cancer), statistically significant larger effects were found for cognitive behavioral therapy as intervention strategy (β = -0.27 [95%CI = -0.40; -0.15]), fatigue-specific interventions (β = -0.48 [95%CI = -0.79; -0.18]), and interventions that only targeted patients with clinically relevant fatigue (β = -0.85 [95%CI = -1.40; -0.30]).Conclusions
Our findings did not provide evidence that any selected demographic or clinical characteristic, or baseline levels of fatigue or pain, moderated effects of psychosocial interventions on fatigue. A specific focus on decreasing fatigue seems beneficial for patients with breast cancer with clinically relevant fatigue.Please use this identifier to cite or link to this item:
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