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

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

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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

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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:

http://hdl.handle.net/10453/147316