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@ARTICLE{vanVulpen:144831,
author = {J. K. van Vulpen and M. G. Sweegers and P. H. M. Peeters
and K. S. Courneya and R. U. Newton and N. K. Aaronson and
P. B. Jacobsen and D. A. Galvão and M. J. Chinapaw and K.
Steindorf$^*$ and M. L. Irwin and M. M. Stuiver and S. Hayes
and K. A. Griffith and I. Mesters and H. Knoop and M. M.
Goedendorp and N. Mutrie and A. J. Daley and A. McConnachie
and M. Bohus and L. Thorsen and K.-H. Schulz and C. E. Short
and E. L. James and R. C. Plotnikoff and M. E. Schmidt$^*$
and C. M. Ulrich and M. van Beurden and H. S. Oldenburg and
G. S. Sonke and W. H. van Harten and K. H. Schmitz and K. M.
Winters-Stone and M. J. Velthuis and D. R. Taaffe and W. van
Mechelen and M. J. Kersten and F. Nollet and J. Wenzel and
J. Wiskemann and I. M. Verdonck-de Leeuw and J. Brug and A.
M. May and L. M. Buffart},
title = {{M}oderators of {E}xercise {E}ffects on {C}ancer-related
{F}atigue: {A} {M}eta-analysis of {I}ndividual {P}atient
{D}ata.},
journal = {Medicine and science in sports and exercise},
volume = {52},
number = {2},
issn = {0195-9131},
address = {[s.l.]},
publisher = {Ovid},
reportid = {DKFZ-2019-02256},
pages = {303-314},
year = {2020},
note = {2020 Feb;52(2):303-314},
abstract = {Fatigue is a common and potentially disabling symptom in
patients with cancer. It can often be effectively reduced by
exercise. Yet, effects of exercise interventions might
differ across subgroups. We conducted a meta-analysis using
individual patient data of randomized controlled trials
(RCTs) to investigate moderators of exercise intervention
effects on cancer-related fatigue.We used individual patient
data from 31 exercise RCTs worldwide, representing 4,366
patients, of whom 3,846 had complete fatigue data. We
performed a one-step individual patient data meta-analysis,
using linear mixed-effect models to analyze the effects of
exercise interventions on fatigue (z-score) and to identify
demographic, clinical, intervention- and exercise-related
moderators. Models were adjusted for baseline fatigue and
included a random intercept on study level to account for
clustering of patients within studies. We identified
potential moderators by testing their interaction with group
allocation, using a likelihood ratio test.Exercise
interventions had statistically significant beneficial
effects on fatigue (β= -0.17 $[95\%$ confidence interval
(CI) -0.22;-0.12]). There was no evidence of moderation by
demographic or clinical characteristics. Supervised exercise
interventions had significantly larger effects on fatigue
than unsupervised exercise interventions (βdifference=
-0.18 $[95\%CI$ -0.28;-0.08]). Supervised interventions with
a duration ≤12 weeks showed larger effects on fatigue (β=
-0.29 $[95\%$ CI -0.39;-0.20]) than supervised interventions
with a longer duration. Conclusions - In this individual
patient data meta-analysis, we found statistically
significant beneficial effects of exercise interventions on
fatigue, irrespective of demographic and clinical
characteristics. These findings support a role for exercise,
preferably supervised exercise interventions, in clinical
practice. Reasons for differential effects in duration
require further exploration.PROSPERO, CRD42013003805.},
cin = {C110},
ddc = {796},
cid = {I:(DE-He78)C110-20160331},
pnm = {313 - Cancer risk factors and prevention (POF3-313)},
pid = {G:(DE-HGF)POF3-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31524827},
doi = {10.1249/MSS.0000000000002154},
url = {https://inrepo02.dkfz.de/record/144831},
}