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abstract:
Aerobic Exercise and Cancer-Related Fatigue in Adults: A Reexamination Using the IVhet Model for Meta-analysis | Cancer Epidemiology, Biomarkers & Prevention
Background: Although the results of a
recent meta-analysis using the traditional random effects model yielded a
statistically significant standardized mean difference (SMD) reduction
in cancer-related fatigue (CRF) as a result of aerobic exercise, a
recently developed inverse heterogeneity (IVhet) model has been shown to
be more valid than the traditional random effects model. The purpose of
this study was to compare these previous meta-analytic results using
the IVhet model.
Conclusions: Insufficient evidence currently exists to support the use of aerobic exercise for reducing CRF in adults.
Impact: Additional studies are needed to determine the certainty of aerobic exercise on CRF in adults. Cancer Epidemiol Biomarkers Prev; 26(2); 1–3.
Methods: Using data
from a previous meta-analysis that included 36 SMD effect sizes (ES)
representing 2,830 adults (1,426 exercise, 1,404 control), results were
pooled using the IVhet model. Absolute and relative differences between
the IVhet and random effects results for CRF were also calculated as
well as influence analysis with each SMD ES deleted from the IVhet
model. Nonoverlapping 95% confidence intervals (CI) were considered
statistically significant.
Results: A
statistically nonsignificant reduction in CRF fatigue was found as a
result of aerobic exercise using the IVhet model (SMD, −0.08; 95% CI,
−0.31–0.14; P = 0.46). The IVhet model yielded a SMD ES that
was 0.14 (63.6%) smaller than the random effects model. With each study
deleted from the IVhet model once, results remained statistically
nonsignificant with SMD ESs ranging from −0.11 (95% CI, −0.33–0.11) to
−0.06 (95% CI, −0.28–0.16).
Conclusions: Insufficient evidence currently exists to support the use of aerobic exercise for reducing CRF in adults.
Impact: Additional studies are needed to determine the certainty of aerobic exercise on CRF in adults. Cancer Epidemiol Biomarkers Prev; 26(2); 1–3.
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