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Individuals with atrial fibrillation (AF) are at an increased risk for stroke. Early detection of undiagnosed AF by screening is recommended. Single-lead electrocardiogram (ECG) is the most widely used technology in AF detection. Several systematic reviews on the diagnostic accuracy of single-lead ECG devices for AF detection have been performed but have yielded inconclusive results.
The aim of this study was to synthesize the available evidence on the effectiveness of single-lead ECG devices in detecting AF.
An overview of systematic reviews was conducted. Five English databases (Cochrane Database of Systematic Reviews, PubMed, Embase, Ovid, and Web of Science) and two Chinese databases (Wanfang and CNKI) were searched from inception to July 31, 2021. Systematic reviews that examined the accuracy of tools based on single-lead ECG technology for detecting AF were included. A narrative data synthesis was performed.
Eight systematic reviews were finally included. Systematic reviews with meta-analysis showed that single-lead ECG-based devices had good sensitivity and specificity (both ≥90%) in detecting AF. According to subgroup analysis, the sensitivities of tools used in populations with a history of AF were all >90%. However, among handheld and thoracic placed single-lead ECG devices, large variations in diagnostic performance were observed.
Single-lead ECG devices can potentially be used for AF detection. Due to the heterogeneity in the study population and tools, future studies are warranted to explore the suitable circumstances in which each tool could be applied for AF screening in an effective and cost-effective manner.
As a devastating neurodegenerative disease, Alzheimer's disease (AD) imposes a considerable direct and indirect financial burden. However, effective drug treatment options are limited. In recent years, game therapy has become a research hotspot in this field.
The purpose of this study was to synthesize the conclusions of existing studies and integrate the data to evaluate the effects of game therapy on people living with dementia (PLWD).
We included randomized clinical trials and quasi-experimental studies which assessed the impacts of game therapy on PLWD and took cognitive function, quality of life, and depression as outcome indicators. Two trained researchers independently screened the studies, evaluated the quality, and extracted the data. Statistical analysis was performed by Review Manager (Revman) 5.3 and STATA16.0 software.
There were 12 studies involving 877 PLWD included, total. The results of the meta-analysis demonstrated that the Mini-Mental State Examination (MMSE) scores of the test group were significantly higher than that of the control group (SMD = 2.69, 95% CI [1.88, 3.51], p < .01), and the Cornell Scale for Depression in Dementia scores of the test group were significantly lower than those of the control group (SMD = −4.28, 95% CI [−6.96, −1.60], p < .01); but in terms of quality of life (SMD = 0.17, 95% CI [−0.82, 1.16], p = .74), the difference was not statistically significant.
Game therapy can improve cognitive function and depression in PLWD. The combination of different types of games can improve the different clinical symptoms of PLWD, and different intervention time also have different effects on the outcome, which shows that we can develop unique, systematic, safe, and scientific game intervention programs for PLWD to improve their cognitive function and depression.
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