METHODS: We searched several databases, including PubMed, Web of Science, Embase (via Ovid), PsychINFO (through EBSCO), and The Cochrane Library, comprising the Cochrane Database of Systematic Reviews and the Cochrane Central Register of Controlled Trials. Additionally, Chinese databases such as CNKI (China National Knowledge Infrastructure) and Wan Fang Data were explored from their beginnings until October 22, 2023. Studies that investigated the impact of art therapy on anxiety compared to a control group were included. The methodological quality of these randomized controlled trials was evaluated using the Cochrane Handbook's risk of bias instrument.
RESULTS: Six studies involving 422 participants were included. The findings indicated a notable decrease in anxiety symptoms due to art therapy, with a Standardized Mean Difference (SMD) of -1.42, 95% Confidence Interval (95%CI -2.33, -0.51), p < 0.002. Notably, there was pronounced heterogeneity, as evidenced by Tau2 = 1.41, Chi2 = 101.19, df = 6, and I² = 94%, with Z = 3.06.
CONCLUSION: Art therapy significantly improved the anxiety symptoms of children and adolescents, positioning it as an effective means of treating anxiety.
METHODOLOGY: The study was performed by searching four databases (PubMed, Embase, Web of Science, and the Cochrane Library) to determine randomized controlled trials (RCTs) exploring the impacts of physical exercise therapies among college students with symptoms of depression. The sequential execution of a meta-analyses, subgroup analyses, and publication bias analyses was accomplished utilizing the software package RevMan version 5.3.
RESULTS: There were eight articles included. This research demonstrated a significant impact (d = -0.75, P < 0.05), indicating that physical exercise has a substantial impact on decreasing or mitigating depression. The subgroup analyses revealed that interventions involving physical exercise workouts lasting 12 weeks or longer (d = -0.93, P < 0.05), with physical exercise sessions lasting between 30 and 60 min (d = -0.77, P < 0.05), and with physical exercise performed minimum of three times a week (d = -0.90, P < 0.05) were the most effective in reducing symptoms of depression.
CONCLUSION: Physical exercise interventions have a beneficial impact on reducing depression among college students. The optimal mode was discovered to be college students participating in each session for a duration of 30 to 60 min, at least three times per week, and for more than 12 weeks. College students are encouraged to cultivate a consistent and long-term physical exercise routine to sustain their physical and mental health.
PURPOSE: To examine the accuracy of AI-based radiomics in diagnosis, prognosis assessment and predicting the diagnostic value of radiomics for pelvic LN metastasis in cervical cancer patients.
MATERIAL AND METHODS: The study included 118 female patients with 660 LNs and 118 merged LNs. Four imaging histology models-decision tree, random forest, logistic regression, and support vector machine (SVM)-were created in this study. The imaging histology features were extracted from both the independent and merged LN groups. The AUC values for the test sets and the training sets of the four imaging histology models were compared for the independent LN group and the merged LN group. The DeLong test was used to compare the models.
RESULT: The imaging histology prediction model developed in the merged LN group outperformed the independent LN group in terms of test set AUC (0.668 vs. 0.535 for decision tree, 0.841 vs. 0.627 for logistic regression, 0.785 vs. 0.637 for random forest, 0.85 vs. 0.648 for SVM) and accuracy (0.754 vs. 0.676 for decision tree, 0.780 vs. 0.671 for random forest, 0.848 vs. 0.685 for logistic regression, 0.822 vs. 0.657 for SVM).
CONCLUSION: The constructed SVM imaging histology model for the merged LN group might be advantageous in predicting pelvic LN metastasis in cervical cancer.