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Introduction: Five-element music therapy is widely utilized as a complementary approach in stroke rehabilitation, particularly for addressing post-stroke depression (PSD). This study systematically evaluates the clinical impact of five-element music therapy on individuals experiencing PSD. Methods: A comprehensive search of nine electronic databases, encompassing published and unpublished gray literature up to February 15, 2022, was conducted. Two investigators independently reviewed and extracted data, evaluating bias risk according to predefined criteria. Meta-analysis was performed using RevMan 5.4 software. Results: Inclusive of 20 studies involving 1561 individuals with PSD, the meta-analysis revealed a significant difference in favor of five-element music therapy for relieving depression (standardized mean difference [SMD] = -1.07, 95% confidence interval [CI]: -1.34 to -0.81, P < 0.00001), improving daily living abilities (SMD = 2.49, 95% CI 1.00 to 3.98, P < 0.00001), and elevating serum 5-hydroxytryptamine(5-HT) levels (SMD = 0.87, 95% CI 0.56 to 1.17, P < 0.00001). Conclusion: Five-element music therapy demonstrated efficacy in improving depressive symptoms, daily living skills, and serum 5-HT levels in individuals experiencing PSD.The review was registered on International Prospective Register of Systematic Reviews (registration number CRD 42022332282).
RESUMO
OBJECTIVE: To systematically review the risk prediction model of Hemorrhages Transformation (HT) after intravenous thrombolysis in patients with Acute Ischemic Stroke (AIS). METHODS: Web of Science, The Cochrane Library, PubMed, Embase, CINAHL, CNKI, CBM, WanFang, and VIP were searched from inception to February 25, 2023 for literature related to the risk prediction model for HT after thrombolysis in AIS. RESULTS: A total of 17 included studies contained 26 prediction models, and the AUC of all models at the time of modeling ranged from 0.662 to 0.9854, 16 models had AUC>0.8, indicating that the models had good predictive performance. However, most of the included studies were at risk of bias. the results of the Meta-analysis showed that atrial fibrillation (OR=2.72, 95% CI:1.98-3.73), NIHSS score (OR=1.09, 95% CI:1.07-1.11), glucose (OR=1.12, 95% CI:1.06-1.18), moderate to severe leukoaraiosis (OR=3.47, 95% CI:1.61-7.52), hyperdense middle cerebral artery sign (OR=2.35, 95% CI:1.10-4.98), large cerebral infarction (OR=7.57, 95% CI:2.09-27.43), and early signs of infarction (OR=4.80, 95% CI:1.74-13.25) were effective predictors of HT after intravenous thrombolysis in patients with AIS. CONCLUSIONS: The performance of the models for HT after thrombolysis in patients with AIS in the Chinese population is good, but there is some risk of bias. Future post-intravenous HT conversion prediction models for AIS patients in the Chinese population should focus on predictors such as atrial fibrillation, NIHSS score, glucose, moderate to severe leukoaraiosis, hyperdense middle cerebral artery sign, massive cerebral infarction, and early signs of infarction.
