scholarly journals What is the minimal dose for resistance exercise effectiveness in prostate cancer patients? Systematic review and meta-analysis on patient-reported outcomes

2020 ◽  
Author(s):  
Pedro Lopez ◽  
Dennis R. Taaffe ◽  
Robert U. Newton ◽  
Laurien M. Buffart ◽  
Daniel A. Galvão
Keyword(s):  
Prostate Cancer ◽  
Resistance Exercise ◽  
Cancer Patients ◽  
Effect Size ◽  
Meta Analysis ◽  
Anxiety Symptoms ◽  
Considerable Proportion ◽  
Depression And Anxiety ◽  
Exercise Programs ◽  
Meta Regression

Abstract Background Active treatments for prostate cancer are well known to result in several adverse effects such as fatigue, depression and anxiety symptoms, impacting the overall quality of life (QoL) and wellbeing of a considerable proportion of patients. Resistance-based exercise interventions have shown positive effects to reduce or mitigate these treatment-related side effects. However, the minimal dosage required to derive these benefits is unknown. We systematically reviewed the resistance training effects in prostate cancer patients to determine the minimal dosage regarding the exercise components (mode, duration, volume and intensity) on fatigue, QoL, depression and anxiety. Methods Using PRISMA guidelines, MEDLINE, CINAHL, EMBASE, SPORTDiscus and Web of Science databases were searched. Eligible randomised controlled trials examined prostate cancer patients undertaking resistance-based exercise programs during or following treatment. Meta-analysis was undertaken when more than three studies were included. Associations between resistance exercise components and its effects were tested by meta-regression analysis. Results Eighteen trials involving 1112 men with prostate cancer were included. Resistance-based exercise programs resulted in significant effects on fatigue (effect size = −0.3, 95% CI: −0.4 to −0.2, P < 0.001) and QoL (effect size = 0.2, 95% CI: 0.0 to 0.4, P = 0.018), with significant effects in specific questionnaires and domains of these outcomes. Resistance-based exercise effects on depression (effect size = −0.3, 95% CI: −0.7 to 0.0) and anxiety symptoms (effect size = −0.3, 95% CI: −0.5 to 0.0) were positive but not significant (P = 0.071 to 0.077). Meta-regression indicated no significant association between resistance exercise components with fatigue and QoL outcomes (P = 0.186–0.689). Conclusions Low volume resistance exercise undertaken at a moderate-to-high intensity is sufficient to achieve significant fatigue and QoL benefits for men with prostate cancer and also mitigate depression and anxiety symptoms. A lower resistance exercise dosage than usually prescribed may help enhance adherence by reducing exercise barriers.

scholarly journals Effects of resistance exercise in prostate cancer patients: a meta-analysis

2017 ◽  
Vol 25 (9) ◽  
pp. 2953-2968 ◽  
Author(s):  
M. Keilani ◽  
T. Hasenoehrl ◽  
L. Baumann ◽  
R. Ristl ◽  
M. Schwarz ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Resistance Exercise ◽  
Cancer Patients ◽  
Meta Analysis

Body mass index and mortality in prostate cancer patients: a dose–response meta-analysis

2016 ◽  
Vol 19 (2) ◽  
pp. 122-131 ◽  
Author(s):  
S Zhong ◽  
X Yan ◽  
Y Wu ◽  
X Zhang ◽  
L Chen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Dose Response ◽  
Meta Analysis

scholarly journals When the Bough Breaks: A Systematic Review and Meta-Analysis of Mental Health Symptoms in Mothers of Young Children during the COVID-19 Pandemic

2021 ◽  
Author(s):  
Nicole Racine ◽  
Rachel Eirich ◽  
Jessica Cookee ◽  
Jenney Zhu ◽  
Paolo Pador ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Children ◽  
Maternal Mental Health ◽  
Meta Analysis ◽  
Random Effect ◽  
Well Being ◽  
Anxiety Symptoms ◽  
Study Quality ◽  
Depression And Anxiety ◽  
Meta Analyses

Parents have experienced considerable challenges and stress during the COVID-19 pandemic, which may impact their well-being. This meta-analysis sought to identify: 1) the prevalence of depression and anxiety in parents of young children (&lt; age 5) during the COVID-19 pandemic, and 2) sociodemographic (e.g., parent age, minority status) and methodological moderators (e.g., study quality) that explain heterogeneity among studies. A systematic search was conducted across four databases from January 1st, 2020 to March 3st, 2021. A total of 18 non-overlapping studies (9,101 participants), all focused on maternal mental health, met inclusion criteria. Random-effect meta-analyses were conducted. Pooled prevalence estimates for clinically significant depression and anxiety symptoms for mothers of young children during the COVID-19 pandemic were 27.4% (95% CI: 21.5-34.3) and 43.5% (95% CI:27.5-60.9), respectively. Prevalence of clinically elevated depression and anxiety symptoms were higher in Europe and North America and among older mothers. Clinically elevated depressive symptoms were lower in studies with a higher percentage of racial and ethnic minority individuals. In comparison, clinically elevated anxiety symptoms were higher among studies of low study quality and in samples with highly educated mothers. Policies and resources targeting improvements in maternal mental health are essential.

scholarly journals Association of Caveolin-1 Expression With Prostate Cancer: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 ◽  
Author(s):  
Pei Chen ◽  
Yu-ling Zhang ◽  
Bai Xue ◽  
Guo-ying Xu
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Specific Antigen ◽  
Intraepithelial Neoplasia ◽  
Clinicopathological Characteristics ◽  
Clinicopathological Feature ◽  
Caveolin 1 ◽  
The Relationship

PurposeThe prognostic value of caveolin-1 in prostate cancer remains uncertain. Hence, this meta-analysis was performed to evaluate the prognostic value of caveolin-1 in prostate cancer, as well as ascertain the relationship between caveolin-1 expression and clinicopathological characteristics of prostate cancer patients.MethodsThe PubMed, Embase, Chinese National Knowledge Infrastructure and Chinese Biology Medicine databases were electronically searched to retrieve published studies on caveolin-1 expression in prostate cancer. After study selection and data extraction, the meta-analysis was conducted using Review manager 5.3 software. Odds ratio (OR) with 95% confidence interval (CI) was used to estimate the pooled effect. Funnel plot was used to assess publication bias.ResultsA total of ten studies were enrolled, which included 3976 cases of prostate cancer, 72 cases of high-grade intraepithelial neoplasia (HGPIN), and 157 normal controls. Results of the meta-analysis showed that the positive rate of caveolin-1 expression in prostate cancer was 18.28 times higher than that in normal control (OR= 18.28, 95% CI: 9.02–37.04, p&lt;0.01), and 4.73 times higher than that in HGPIN (OR= 4.73, 95% CI: 2.38–9.42, p&lt;0.01). The relationship between caveolin-1 and clinicopathological characteristics of prostate cancer showed that the differences in caveolin-1 expression in patients with prostate-specific antigen (PSA) &gt;10 vs. ≤ 10 (OR=2.09, 95% CI: 1.35–3.22, p&lt;0.01), differentiation degree low vs. medium/high (OR=2.74, 95% CI: 1.84–4.08, p&lt;0.01), TNM stage T3+T4 vs. T1+T2 (OR=2.77, 95% CI: 1.78–4.29, p&lt;0.01), and lymph node metastasis present vs. absent (OR=2.61, 95% CI: 1.84–3.69, p&lt;0.01) were statistically significant. The correlation analysis between caveolin-1 and the survival time of patients with prostate cancer demonstrated that caveolin-1 was closely related to the prognosis of prostate cancer patients (HR=1.50, 95% CI: 1.28–1.76, p&lt;0.01).ConclusionCaveolin-1 is overexpressed in prostate cancer, which can serve as a risk factor and adverse clinicopathological feature of prostate cancer. Caveolin-1 can also predict poor survival in prostate cancer patients after radical prostatectomy.

scholarly journals Estimating the statistical performance of different approaches to meta-analysis of data from animal studies in identifying the impact of aspects of study design

2018 ◽  
Author(s):  
Qianying Wang ◽  
Jing Liao ◽  
Kaitlyn Hair ◽  
Alexandra Bannach-Brown ◽  
Zsanett Bahor ◽  
...  
Keyword(s):  
Effect Size ◽  
False Positive ◽  
Latent Variable ◽  
Statistical Power ◽  
Animal Studies ◽  
Meta Analysis ◽  
False Positive Rate ◽  
Mean Difference ◽  
Positive Rate ◽  
Meta Regression

AbstractBackgroundMeta-analysis is increasingly used to summarise the findings identified in systematic reviews of animal studies modelling human disease. Such reviews typically identify a large number of individually small studies, testing efficacy under a variety of conditions. This leads to substantial heterogeneity, and identifying potential sources of this heterogeneity is an important function of such analyses. However, the statistical performance of different approaches (normalised compared with standardised mean difference estimates of effect size; stratified meta-analysis compared with meta-regression) is not known.MethodsUsing data from 3116 experiments in focal cerebral ischaemia to construct a linear model predicting observed improvement in outcome contingent on 25 independent variables. We used stochastic simulation to attribute these variables to simulated studies according to their prevalence. To ascertain the ability to detect an effect of a given variable we introduced in addition this “variable of interest” of given prevalence and effect. To establish any impact of a latent variable on the apparent influence of the variable of interest we also introduced a “latent confounding variable” with given prevalence and effect, and allowed the prevalence of the variable of interest to be different in the presence and absence of the latent variable.ResultsGenerally, the normalised mean difference (NMD) approach had higher statistical power than the standardised mean difference (SMD) approach. Even when the effect size and the number of studies contributing to the meta-analysis was small, there was good statistical power to detect the overall effect, with a low false positive rate. For detecting an effect of the variable of interest, stratified meta-analysis was associated with a substantial false positive rate with NMD estimates of effect size, while using an SMD estimate of effect size had very low statistical power. Univariate and multivariable meta-regression performed substantially better, with low false positive rate for both NMD and SMD approaches; power was higher for NMD than for SMD. The presence or absence of a latent confounding variables only introduced an apparent effect of the variable of interest when there was substantial asymmetry in the prevalence of the variable of interest in the presence or absence of the confounding variable.ConclusionsIn meta-analysis of data from animal studies, NMD estimates of effect size should be used in preference to SMD estimates, and meta-regression should, where possible, be chosen over stratified meta-analysis. The power to detect the influence of the variable of interest depends on the effect of the variable of interest and its prevalence, but unless effects are very large adequate power is only achieved once at least 100 experiments are included in the meta-analysis.

scholarly journals The association of POLR2E rs3787016 polymorphism and cancer risk: a Chinese case–control study and meta-analysis

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Bifeng Chen ◽  
Shang Wang ◽  
Guangxin Ma ◽  
Jin Han ◽  
Jingli Zhang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Lung Cancer ◽  
Liver Cancer ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Case Control Study ◽  
Meta Analysis ◽  
Case Control ◽  
A Genome ◽  
Control Study

How single nucleotide polymorphisms in long non-coding RNAs are involved in cancer susceptibility remains poorly understood. We hypothesized that polymerase II polypeptide E (POLR2E) rs3787016 polymorphism, identified in a genome-wide association study of prostate cancer, might be a common genetic risk factor for cancer risk. To address this issue, we here conducted a case–control study to investigate the association of POLR2E rs3787016 polymorphism with risk of liver and lung cancer (including 800 normal controls, 480 liver cancer patients, and 550 lung cancer patients), followed by a meta-analysis. The genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism and confirmed by sequencing. Although no significant association was found for rs3787016 with risk of liver or lung cancer, the further stratified analysis identified that rs3787016 contributed to liver cancer risk particularly for over than 60 years individuals who drink. Moreover, the meta-analysis demonstrated that rs3787016 was associated with overall cancer risk and prostate cancer risk. Collectively, the POLR2E rs3787016 polymorphism may be a valuable biomarker for cancer predisposition.

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