Action observation therapy for improving arm function, walking ability, and daily activity performance after stroke: a systematic review and meta-analysis

2019 ◽  
Vol 33 (8) ◽  
pp. 1277-1285 ◽  
Author(s):  
Tzu-Hsuan Peng ◽  
Jun-Ding Zhu ◽  
Chih-Chi Chen ◽  
Ruei-Yi Tai ◽  
Chia-Yi Lee ◽  
...  

Objective:This study was to investigate the effectiveness of action observation therapy on arm and hand motor function, walking ability, gait performance, and activities of daily living in stroke patients.Design:Systematic review and meta-analysis of randomized controlled trials.Data sources:Searches were completed in January 2019 from electronic databases, including PubMed, Scopus, the Cochrane Library, and OTseeker.Review methods:Two independent reviewers performed data extraction and evaluated the study quality by the PEDro scale. The pooled effect sizes on different aspects of outcome measures were calculated. Subgroup analyses were performed to examine the impact of stroke phases on treatment efficacy.Results:Included were 17 articles with 600 patients. Compared with control treatments, the action observation therapy had a moderate effect size on arm and hand motor outcomes (Hedge’s g = 0.564; P < 0.001), a moderate to large effect size on walking outcomes (Hedge’s g = 0.779; P < 0.001), a large effect size on gait velocity (Hedge’s g = 0.990; P < 0.001), and a moderate to large effect size on activities of daily function (Hedge’s g = 0. 728; P = 0.004). Based on subgroup analyses, the action observation therapy showed moderate to large effect sizes in the studies of patients with acute/subacute stroke or those with chronic stroke (Hedge’s g = 0.661 and 0.783).Conclusion:This review suggests that action observation therapy is an effective approach for stroke patients to improve arm and hand motor function, walking ability, gait velocity, and daily activity performance.

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Liansheng Larry Tang ◽  
Michael Caudy ◽  
Faye Taxman

Multiple meta-analyses may use similar search criteria and focus on the same topic of interest, but they may yield different or sometimes discordant results. The lack of statistical methods for synthesizing these findings makes it challenging to properly interpret the results from multiple meta-analyses, especially when their results are conflicting. In this paper, we first introduce a method to synthesize the meta-analytic results when multiple meta-analyses use the same type of summary effect estimates. When meta-analyses use different types of effect sizes, the meta-analysis results cannot be directly combined. We propose a two-step frequentist procedure to first convert the effect size estimates to the same metric and then summarize them with a weighted mean estimate. Our proposed method offers several advantages over existing methods by Hemming et al. (2012). First, different types of summary effect sizes are considered. Second, our method provides the same overall effect size as conducting a meta-analysis on all individual studies from multiple meta-analyses. We illustrate the application of the proposed methods in two examples and discuss their implications for the field of meta-analysis.


2020 ◽  
pp. 1-9
Author(s):  
Devin S. Kielur ◽  
Cameron J. Powden

Context: Impaired dorsiflexion range of motion (DFROM) has been established as a predictor of lower-extremity injury. Compression tissue flossing (CTF) may address tissue restrictions associated with impaired DFROM; however, a consensus is yet to support these effects. Objectives: To summarize the available literature regarding CTF on DFROM in physically active individuals. Evidence Acquisition: PubMed and EBSCOhost (CINAHL, MEDLINE, and SPORTDiscus) were searched from 1965 to July 2019 for related articles using combination terms related to CTF and DRFOM. Articles were included if they measured the immediate effects of CTF on DFROM. Methodological quality was assessed using the Physiotherapy Evidence Database scale. The level of evidence was assessed using the Strength of Recommendation Taxonomy. The magnitude of CTF effects from pre-CTF to post-CTF and compared with a control of range of motion activities only were examined using Hedges g effect sizes and 95% confidence intervals. Randomeffects meta-analysis was performed to synthesize DFROM changes. Evidence Synthesis: A total of 6 studies were included in the analysis. The average Physiotherapy Evidence Database score was 60% (range = 30%–80%) with 4 out of 6 studies considered high quality and 2 as low quality. Meta-analysis indicated no DFROM improvements for CTF compared with range of motion activities only (effect size = 0.124; 95% confidence interval, −0.137 to 0.384; P = .352) and moderate improvements from pre-CTF to post-CTF (effect size = 0.455; 95% confidence interval, 0.022 to 0.889; P = .040). Conclusions: There is grade B evidence to suggest CTF may have no effect on DFROM when compared with a control of range of motion activities only and results in moderate improvements from pre-CTF to post-CTF. This suggests that DFROM improvements were most likely due to exercises completed rather than the band application.


2021 ◽  
Vol 11 ◽  
Author(s):  
Martin Götze ◽  
Matthias W. Hoppe

The relative age effect (RAE) is associated with (dis)advantages in competitive sports. While the RAE in elite male soccer reveals a skewed birthdate distribution in relation to a certain cut-off date, research of RAE in elite female soccer is affected by small number of samples and conflicting results. The purpose of this study was to investigate the RAE in elite adult German soccer regarding gender and competition level. The sample comprised 680 female and 1,083 male players of the two top German leagues during the 2019/20 season and German national teams (A-Team to Under 19). Differences between the observed and expected birthdate distributions were analyzed using chi-square statistics and effect sizes followed by calculating odds ratios. Results showed a statistically significant RAE with small effect size across all players included for both genders (female players: P &lt; 0.001, W = 0.16, male players: P &lt; 0.001, W = 0.23). The identified RAE was based on an over-representation of players born at the beginning of the year. According to gender and competition level, RAEs were more pronounced in German male soccer. While significant RAEs were found among males in the first two leagues (first league: P &lt; 0.001, W = 0.19, second league: P &lt; 0.001, W = 0.26), the RAE of females was more pronounced in the second league (first league: P = 0.080, W = 0.16, second league: P = 0.002, W = 0.20). The analysis of RAE regarding the national teams revealed a statistically significant RAE with large effect size for only the youngest investigated age group of male players (Under 19: P = 0.022, W = 0.52). Our data show an RAE in female and male German adult soccer, which could be accompanied by a loss of valuable elite players during the youth phase of the career. Consequently, the pool of talented players at the adult level would be limited.


Author(s):  
Michael S. Rosenberg ◽  
Hannah R. Rothstein ◽  
Jessica Gurevitch

One of the fundamental concepts in meta-analysis is that of the effect size. An effect size is a statistical parameter that can be used to compare, on the same scale, the results of different studies in which a common effect of interest has been measured. This chapter describes the conventional effect sizes most commonly encountered in ecology and evolutionary biology, and the types of data associated with them. While choice of a specific measure of effect size may influence the interpretation of results, it does not influence the actual inference methods of meta-analysis. One critical point to remember is that one cannot combine different measures of effect size in a single meta-analysis: once you have chosen how you are going to estimate effect size, you need to use it for all of the studies to be analyzed.


Author(s):  
Noémie Laurens

This chapter illustrates meta-analysis, which is a specific type of literature review, and more precisely a type of research synthesis, alongside traditional narrative reviews. Unlike in primary research, the unit of analysis of a meta-analysis is the results of individual studies. And unlike traditional reviews, meta-analysis only applies to: empirical research studies with quantitative findings hat are conceptually comparable and configured in similar statistical forms. What further distinguishes meta-analysis from other research syntheses is the method of synthesizing the results of studies — i.e. the use of statistics and, in particular, of effect sizes. An effect size represents the degree to which the phenomenon under study exists.


2019 ◽  
Vol 34 (6) ◽  
pp. 876-876
Author(s):  
A Walker ◽  
A Hauson ◽  
S Sarkissians ◽  
A Pollard ◽  
C Flora-Tostado ◽  
...  

Abstract Objective The Category Test (CT) has consistently been found to be sensitive at detecting the effects of alcohol on the brain. However, this test has not been as widely used in examining the effects of methamphetamine. The current meta-analysis compared effect sizes of studies that have examined performance on the CT in alcohol versus methamphetamine dependent participants. Data selection Three researchers independently searched nine databases (e.g., PsycINFO, Pubmed, ProceedingsFirst), extracted required data, and calculated effect sizes. Inclusion criteria identified studies that had (a) compared alcohol or methamphetamine dependent groups to healthy controls and (b) matched groups on either age, education, or IQ (at least 2 out of 3). Studies were excluded if participants were reported to have Axis I diagnoses (other than alcohol or methamphetamine dependence) or comorbidities known to impact neuropsychological functioning. Sixteen articles were coded and analyzed for the current study. Data synthesis Alcohol studies showed a large effect size (g = 0.745, p < 0.001) while methamphetamine studies evidenced a moderate effect size (g = 0.406, p = 0.001); both without statistically significant heterogeneity (I2 = 0). Subgroup analysis revealed a statistically significant difference between the effect sizes from alcohol versus methamphetamine studies (Q-between = 5.647, p = 0.017). Conclusions The CT is sensitive to the effects of both alcohol and methamphetamine and should be considered when examining dependent patients who might exhibit problem solving, concept formation, and set loss difficulties in everyday living.


2019 ◽  
Vol 43 (3-4) ◽  
pp. 111-151 ◽  
Author(s):  
Richard P. Phelps

Background: Test frequency, stakes associated with educational tests, and feedback from test results have been identified in the research literature as relevant factors in student achievement. Objectives: Summarize the separate and joint contribution to student achievement of these three treatments and their interactions via multivariable meta-analytic techniques using a database of English-language studies spanning a century (1910–2010), comprising 149 studies and 509 effect size estimates. Research design: Analysis employed robust variance estimation. Considered as potential moderators were hundreds of study features comprising various test designs and test administration, demographic, and source document characteristics. Subjects: Subjects were students at all levels, from early childhood to adult, mostly from the United States but also eight other countries. Results: We find a summary effect size of 0.84 for the three treatments collectively. Further analysis suggests benefits accrue to the incremental addition of combinations of testing and feedback or stakes and feedback. Moderator analysis shows higher effect sizes associated with the following study characteristics: more recent year of publication, summative (rather than formative) testing, constructed (rather than selected) item response formats, alignment of subject matter between pre- and posttests, and recognition/recall (rather than core subjects, art, or physical education). Conversely, lower effect sizes are associated with postsecondary students (rather than early childhood–upper secondary), special education population, larger study population, random assignment (rather than another sampling method), use of shadow test as outcome measure, designation of individuals (rather than groups) as units of analysis, and academic (rather than corporate or government) research.


2020 ◽  
Vol 8 (8) ◽  
pp. 232596712092832
Author(s):  
Shanshan Li ◽  
Qianjin Wu ◽  
Zichao Chen

Background: Studies have shown that preventive psychological interventions can reduce the occurrence of sports injuries. Purpose: To systematically evaluate the published literature on the effects of psychological interventions on rates of sports injuries and propose a set of psychological interventions to reduce such injuries. Study Design: Systematic review; Level of evidence, 1. Methods: A total of 11 randomized controlled trials and intervention control trials involving 1287 participants were included. A random-effects model was used to analyze the data. Pooled results were expressed as effect sizes and 95% CIs. Bias and heterogeneity among the studies were assessed, and sensitivity and subgroup analyses were performed. Results: Meta-analysis suggested that preventive psychological interventions effectively prevented the occurrence of sports injuries (effect size = –0.55; P < .001), although the studies showed substantial heterogeneity ( I 2 = 94.2%; P < .001), which could not be attributed to specific variables. Nevertheless, sensitivity analysis suggested that overall results were reliable. No significant risk of publication bias was found. Conclusion: Preventive psychological interventions moderately reduced the risk of sports injuries. Risk screening also significantly reduced the risk of sports injuries. These interventions should focus on cognitive behavior and be administered in 1 to 6 sessions over 7 to 12 weeks for 60 minutes per session.


2020 ◽  
pp. 194855062092945
Author(s):  
Junhua Dang ◽  
Xiaoping Liu ◽  
Shanshan Xiao ◽  
Lihua Mao ◽  
Ka Tung Chan ◽  
...  

Unlike the presentation format in a typical delay discounting task (e.g., “Would you prefer [A] US$4.3 today OR [B] US$7.5 in 22 days?”), Magen et al. inserted a zero to each alternative (e.g., “Would you prefer [A] US$4.3 today and US$0 in 22 days OR [B] US$0 today and US$7.5 in 22 days?”) and found this manipulation effectively reduced delay discounting ( d = .84), which was referred to as the hidden-zero effect. Study 1 was a direct replication of this effect. In Study 2, we tested whether the explicit-zero format could buffer against the detrimental effect of exposure to sexy cues on delay discounting. In Study 3, we explored the mechanism underlying the hidden-zero effect. Taken together, the hidden-zero effect was consistently found across all studies ( N = 2,440) and our internal meta-analysis yielded a medium to large effect size ( d = .52).


2019 ◽  
Vol 48 (10) ◽  
pp. 2572-2585 ◽  
Author(s):  
Kai Huang ◽  
Grey Giddins ◽  
Li-dong Wu

Background: Platelet-rich plasma (PRP), as a promising alternative to traditional corticosteroid (CS), is now increasingly used in the treatment of elbow epicondylitis (EE) and plantar fasciitis (PF). To date, however, the synthesis of information on the clinical efficacy of PRP versus CS is limited with divergent conclusions. Purpose: To compare the clinical efficacy of PRP and CS injections in reducing pain and improving function in EE and PF. Study Design: Systematic review and meta-analysis. Methods: Online databases were searched from inception to October 2018 for prospective studies evaluating PRP versus CS injections for EE or PF. Independent reviewers undertook searches, screening, and risk-of-bias appraisals. The primary outcomes of interest were pain and function in both the short term (1-3 months) and the long term (≥6 months). Results: Twenty trials with 1268 participants were included. For EE, PRP provides a statistically and clinically meaningful long-term improvement in pain, with a very large effect size of −1.3 (95% CI, −1.9 to −0.7) when compared with CS, but the evidence level was low. For EE, there was moderate evidence that CS provides a statistically meaningful improvement in pain in the short term, with a medium effect size of 0.56 (95% CI, 0.08-1.03) as compared with PRP; this improvement might not be clinically significant. For PF, there was low evidence that PRP provides a statistically and clinically meaningful long-term improvement in function (American Orthopedic Foot & Ankle Society score), with a very large effect size of 1.94 (95% CI, 0.61-3.28). There were no significant differences between the groups in improvement in function in EE and pain and short-term function in PF, but the quality of the evidence was low. Conclusion: The use of PRP yields statistically and clinically better improvement in long-term pain than does CS in the treatment of EE. The use of PRP yields statistically and clinically better long-term functional improvement than that of CS in the treatment of PF.


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