%0 Journal Article
%T Moderators of the effect of psychosocial interventions on fatigue in women with breast cancer and men with prostate cancer: Individual patient data meta-analyses.
%A Abrahams HJG
%A Knoop H
%A Schreurs M
%A Aaronson NK
%A Jacobsen PB
%A Newton RU
%A Courneya KS
%A Aitken JF
%A Arving C
%A Brandberg Y
%A Chambers SK
%A Gielissen MFM
%A Glimelius B
%A Goedendorp MM
%A Graves KD
%A Heiney SP
%A Horne R
%A Hunter MS
%A Johansson B
%A Northouse LL
%A Oldenburg HSA
%A Prins JB
%A Savard J
%A van Beurden M
%A van den Berg SW
%A Verdonck-de Leeuw IM
%A Buffart LM
%J Psychooncology
%V 29
%N 11
%D 11 2020
%M 33448521
%F 3.955
%R 10.1002/pon.5522
%X 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.<BR>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).<BR>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]).<BR>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.