The effect of music therapy on the anxiety, depression and sleep quality in intensive care unit patients: A protocol for systematic review and meta-analysis.

BACKGROUND: Music therapy serves as a non-pharmacological intervention for a variety of disorders with promising results. However, the effect of music therapy on improving anxiety, depression, and sleep quality in intensive care unit (ICU) patients remains unclear. This meta-analysis aims to evaluate the effect of music therapy on improving anxiety, depression, and sleep quality in ICU patients, thus providing evidences to support music therapy as a novel complementary alternative therapy. METHODS: Randomized controlled trials (RCTs) reporting the efficacy of music therapy on improving anxiety, depression and sleep quality in ICU patients published before January 2022 will be searched in online databases, including the PubMed, the Cochrane Library, Web of Science, Embase, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, VIP Database, and WanFang Database. Literature screening, data extraction, and evaluation of risk of bias will be independently performed by two investigators. Meta-analysis will be performed using Stata 14.0 software. RESULTS: The results of this meta-analysis will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will provide reliable evidence-based evidence for the effect of music therapy on anxiety, depression, and sleep quality in ICU patients. ETHICS AND DISSEMINATION: Ethical approval was not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and shared on social media platforms. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/EXAZ6.

The effect of acupoint therapy on sleep quality of hemodialysis patients: A protocol for systematic review and meta-analysis.

BACKGROUND: Hemodialysis patients usually have sleep disturbance at varying degrees, which seriously affects the therapeutic efficacy and quality of life. Therefore, improving the sleep quality of hemodialysis patients is the key during treatment. Acupoint therapy can improve the sleep quality of patients. However, guidelines for improving sleep quality of hemodialysis patients by acupoint therapy are scant. This study aims to evaluate the effect of acupoint therapy on sleep quality in hemodialysis patients through a meta-analysis, providing clinical evidences. METHODS: Randomized controlled trials (RCTs) reporting the effect of acupoint therapy on sleep quality in hemodialysis patients published before November 2021 will be searched in the China National Knowledge Infrastructure, Chinese Biomedical Literature Database, Wanfang database, the Chinese Scientific Journal Database, PubMed, Embase, The Cochrane Library, and Web of Science databases. Eligible literatures will be screened according to inclusion and exclusion criteria and assessed for quality using the Cochrane Risk of Bias Assessment Tool. Meta-analysis will be performed using Revman 5.4 software. RESULTS: This study will evaluate the effect of acupoint therapy on sleep quality in hemodialysis patients using the Pittsburgh Sleep Quality Index (PSQI). CONCLUSION: This study will provide a reliable evidence-based basis for conducting acupoint therapy to improve sleep quality in hemodialysis patients.

The efficacy and safety of rivaroxaban in coronary artery disease patients with heart failure and sinus rhythm: a systematic review and meta-analysis.

PURPOSE: To explore the efficacy and safety of rivaroxaban in patients with coronary artery disease (CAD), heart failure (HF) and sinus rhythm (SR). METHODS: Comprehensive literature searches were conducted using the PubMed, Cochrane Library, Embase, CNKI and Wanfang databases from inception to February 2021. Randomized controlled trials (RCTs) focusing on the efficacy and safety of new oral anticoagulant (NOAC) therapy in CAD and HF patients in SR were eligible. Statistical analyses were performed using R Programming Language. RESULTS: Three RCTs included 10,658 adult patients treated with antiplatelet drugs with or without rivaroxaban were ultimately analysed. The average follow-up period was 20.4-24 months. Rivaroxaban had a favourable point estimate in myocardial infarction (MI) and stroke (MI rivaroxaban group (3.83%, 203/5306) vs. APT group (4.52%, 214/4731), RR = 0.78, 95% CI 0.65-0.94, P < 0.01, I2 = 0%), (stroke: rivaroxaban group (1.60%, 85/5306) vs. APT group (2.52%, 119/4731), RR = 0.64, 95% CI 0.49-0.85, P < 0.01, I2 = 12%) compared with the placebo. Rivaroxaban was comparable to the placebo for all-cause death and major bleeding (all-cause death: rivaroxaban group (12.27%, 688/5606) vs. APT group (14.59%, 737/5052), RR = 0.73, 95% CI 0.49-1.06, P > 0.05, I2 = 87%), (major bleeding: rivaroxaban group (1.52%, 85/5586) vs. APT group (1.37%, 69/5043), RR = 1.18, 95% CI 0.86-1.62, P > 0.05, I2 = 0%). CONCLUSIONS: In SR patients with CAD and HF, the rates of MI and stroke associated with rivaroxaban combined with APT were lower than those associated with APT alone, and the two treatments had similar rates of all-cause death and major bleeding.

Differential effects of adjuvant EGFR tyrosine kinase inhibitors in patients with different stages of non-small-cell lung cancer after radical resection: an updated meta-analysis.

PURPOSE: A survival improvement was achieved with adjuvant chemotherapy in non-small-cell lung cancer (NSCLC) patients, but its differential effects among patients with different stages remained controversial. This study aimed to compare the beneficial effects of adjuvant tyrosine kinase inhibitor (TKI) therapy with those of traditional therapy on NSCLC patients, specifically on EGFR-mutant and stage II-IIIA patients, who might benefit most from such treatment. METHODS: MEDLINE, Embase, and the Cochrane Library were searched, and the results were screened independently according to certain criteria by two authors. Disease-free survival (DFS) and overall survival (OS) with HRs were used as the summary statistics. RESULTS: A total of 2,915 publications were identified and screened. Six randomized control trials and three retrospective cohort studies of 2,467 patients with acceptable quality were included. The overall EGFR mutation rate was 48.62%. DFS was significantly improved in all the patients (HR, 0.77; 95% CI, 0.68-0.88) and in the subgroup of EGFR-mutant patients (HR, 0.49; 95% CI, 0.40-0.61). The difference of 5-year OS in the subgroup of EGFR-mutant patients (HR, 0.48; 95% CI, 0.31-0.72) was statistically significant, while in all the patients (HR, 1.01; 95% CI, 0.85-1.19), the difference was not significant. In the subgroups of studies in which <50% of patients were in stage I (HR, 0.46; 95% CI, 0.35-0.60) and >30% of patients were in stage IIIA (HR, 0.46; 95% CI, 0.35-0.60), DFS was significantly improved, while in the subgroups of studies in which <30% of patients were in stage IIIA (HR, 0.90; 95% CI, 0.77-1.04) and >50% of patients were in stage I (HR, 0.90; 95% CI, 0.77-1.04), DFS was not significantly improved. CONCLUSION: Stage IIIA NSCLC patients might benefit more from adjuvant TKIs than stage I NSCLC patients after radical resection.

Efficacy of Jintiange Capsules in the Treatment of Osteoporosis: A Network Meta-analysis.

OBJECTIVE: To evaluate the efficacy of Jintiange capsules and Jintiange combined with other therapies in the treatment of osteoporosis. METHODS: A systematic review of the literature was conducted through databases including China National Knowledge Infrastructure (CNKI), the VIP Database for Chinese Technical Periodicals (VIP), Wanfang, and PubMed from inception to April 2018. Network meta-analysis was used to determine the relative efficacy of related treatments on osteoporosis. The primary outcome measures are the bone mineral density (BMD) of the lumbar and femoral neck, and the secondary outcome measures are visual analog pain score (VAS) and adverse events. Two reviewers independently selected the studies, extracted information, and assessed the quality of included trials. Data extracted from eligible studies was pooled and meta-analyzed, and the mean differences (MD) with their 95% confidence intervals were estimated as the effect size between treatments. RESULTS: Thirty-one studies were included in this study, containing 28 randomized controlled trials (RCT) and 3 non-randomized controlled trials (non-RCT), with a total of 14 regimens treating osteoporosis. According to the surface under the cumulative ranking (SUCRA) curves, Jintiange capsules combined with atorvastatin (89.9%) and Jintiange combined with bisphosphonates (88.2%) have the best efficacy in terms of the BMD of the lumbar and femoral neck, respectively. Based on the VAS, Jintiange combined with calcium has the best analgesic effect (83.4%). CONCLUSION: Jintiange capsules alone and combined with other therapies is a good choice for treating patients with osteoporosis in terms of improving BMD, relieving pain, and reducing adverse events. More large-scale and well-designed RCT are warranted to confirm the results of this study.

Using FTIR spectra and pattern recognition for discrimination of tea varieties.

In order to classify typical Chinese tea varieties, Fourier transform infrared spectroscopy (FTIR) of tea polysaccharides (TPS) was used as an accurate and economical method. Partial least squares (PLS) modeling method along with a self-organizing map (SOM) neural network method was utilized due to the diversity and heterozygosis between teas. FTIR spectra results of tea extracts after spectra preprocessing were used as input data for PLS and SOM multivariate statistical analyses respectively. The predicted correlation coefficient of optimization PLS model was 0.9994, and root mean square error of calibration and cross-validation (RMSECV) was 0.03285. The features of PLS can be visualized in principal component (PC) space, contributing to discover correlation between different classes of spectra samples. After that, a data matrix consisted of the scores on the selected 3PCs computed by principle component analysis (PCA) and the characteristic spectrum data was used as inputs for training of SOM neural network. Compared with the PLS linear technique's recognition rate of 67% only, the correct recognition rate of the PLS-SOM as a non-linear classification algorithm to differentiate types of tea reaches up to 100%. And the models become reliable and provide a reasonable clustering of tea varieties.