Effect of Transcranial Direct Current Stimulation in the Treatment of Aphasia after Stroke：A Meta-Analysis by CUI Ying, LI Bo, TIAN Guang

“…Due to the limitations of the included studies, high-quality, large-sample clinical randomized controlled trials are still needed in the further research to provide more reliable evidence-based basis.…”
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Intimate partner violence among women of reproductive age during the COVID-19 pandemic in Ethiopia: a systematic review and meta-analysis by Gizachew Yilak, Alemayehu Sayih Belay, Aychew Kassie, Befkad Derese Tilahun, Ambaw Abebaw Emrie, Mulat Ayele, Eyob Shitie Lake, Legese Fekede Abza

“…The heterogeneity between studies was assessed using I2 test statistics and the random-effects meta-analysis was done using the restricted maximum likelihood method. …”
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Impact of antiviral prophylaxis on EBV viremia and posttransplant lymphoproliferative disorders in solid organ transplant recipients: a systematic review and meta-analysis by Marjan Moghadamnia, Khadijeh Delroba, Shima Heidari, Zahra Rezaie, Simin Dashti-Khavidaki

“…Method A comprehensive search was conducted up to December 31, 2023, in databases including PubMed, Embase, and the Cochrane Library for retrospective and prospective studies comparing antiviral prophylaxis effects on EVB viremia and PTLD incidence in SOT recipients. Fixed or random effect models were applied based on the heterogeneity assessed via the I2 statistic, using Stata 16.0 software for data analysis. …”
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Beneficial and harmful effects of duloxetine versus placebo, ‘active placebo’ or no intervention for adults with major depressive disorder: a systematic review with meta-analysis a... by Christian Gluud, Marija Barbateskovic, Joanna Moncrieff, Faiza Siddiqui, Janus C Jakobsen, Mathias Maagaard, Sophie Juul, Johanne Juul Petersen, Caroline Barkholt Kamp, Mark Abie Horowitz, Kiran Kumar Katakam

“…Intervention effects were assessed by both random-effects and fixed-effect model meta-analyses, risk of bias assessments were performed by two independent review authors using Cochrane’s risk of bias tool V.2 and the certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation.Results We included 28 trials randomising a total of 7872 participants. …”
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Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer by Lin Ni, Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Hu Zhao, Hu Zhao, Bing Wang, Bing Wang, Bing Wang

“…The above 62 DEGs were included in Cox analysis, LASSO regression, Random Forest and SVMV-RFE, respectively, and then the intersection was used to obtain 5 prognostic related characteristic genes (SUV39H2, OPN4, RORB, FBXL6 and SIAH2). …”
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Risk of SARS-CoV-2 infection among front-line healthcare workers in Northeast Brazil: a respondent-driven sampling approach by Thalia Velho Barreto de Araújo, Demócrito de Barros Miranda-Filho, Ricardo Arraes de Alencar Ximenes, Ulisses Ramos Montarroyos, Celina Maria Turchi Martelli, Maria de Fátima Pessoa Militão de Albuquerque, Wayner Vieira de Souza, Cresio Romeu Pereira, Cynthia Braga, Celia Landmann Szwarcwald, Paulo Roberto Borges de Souza-Junior, Morgana Nascimento Xavier, Clarice Neuenschwander Lins de Morais, Gabriela Diniz Militao de Albuquerque, Cristiane Bresani-Salvi, Carolline Araújo Mariz, Noemia Teixeira de Siqueira-Filha, Jadson Mendonça Galindo, Cláudio Luiz França-Neto, Jessyka Mary Vasconcelos Barbosa, Maria Amelia Sousa Mascena Veras, Luana Nepomuceno Gondim Costa Lima, Luciane Nascimento Cruz, Carl Kendall, Ligia Regina Franco Sansigolo Kerr

“…The overall prevalence of SARS-CoV-2 infection was 61.8% (95% CI: 55.7% to 67.5%) after adjustment for the cluster random effect, weighted by network, and the reference population size. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…For developing a predictive model for HF risk in AMI patients, the least absolute shrinkage and selection operator (LASSO) Regression was used to feature selection, and four ML algorithms including Random Forest (RF), Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Logistic Regression (LR) were employed to develop the model on the training set. …”
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Muscarinic receptor agonists and positive allosteric modulators in animal models of psychosis: protocol for a systematic review and meta-analysis [version 2; peer review: 1 approve... by Spyridon Siafis, Johannes Schneider-Thoma, Alexandra Bannach-Brown, Oliver D. Howes, Virginia Chiocchia, Ulf Tölch, Natascha I. Drude, Sabine M. Hölter, Andrea de Bartolomeis, Anthony C. Vernon, Georgia Salanti, Sridhar Natesan, Stefan Leucht, Irene Bighelli, Sameer Jauhar, Ioannis Mantas, Josef Priller, Francesca Tinsdeall, Wulf-Peter Hansen, Fiona J. Ramage, Nobuyuki Nomura, Malcolm R. Macleod

“…We will synthesize the data using multi-level meta-analysis with a predefined random-effects structure, considering the non-independence of the data. …”
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The diagnostic performance of International Ovarian Tumor Analysis: Simple Rules for diagnosing ovarian tumors—a systematic review and meta-analysis by Awadia Gareeballah, Moawia Gameraddin, Moawia Gameraddin, Sultan Abdulwadoud Alshoabi, Amirah Alsaedi, Maisa Elzaki, Walaa Alsharif, Ibrahim Mohamed Daoud, Ibrahim Mohamed Daoud, Shrooq Aldahery, Magbool Alelyani, Elrashed AbdElrahim, Fahad H. Alhazmi, Zuhal Y. Hamd, Raga Ahmed Abouraida, Mayeen Uddin Khandaker, Mayeen Uddin Khandaker, Mayeen Uddin Khandaker, Mohamed Adam

“…After estimating the pooled effect of the sensitivity, specificity, and diagnostic odds ratio (DOR), the summary receiver operating characteristic (SROC) curve was estimated using the bivariate random effects model. Utilizing Cochran’s Q statistics and Higgins’s inconsistency test through the I2 index for pooled analysis, the heterogeneity of studies was quantitatively evaluated. …”
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Effects of Exercise Preconditioning Mediating Oxidative Stress to Regulate PI3K/Akt and Nrf2/HO-1 Pathways to Alleviate Cognitive and Learning Disorders in Rats by KONG Haijun, LI Xinlong, WANG Fenghua, CHEN Xiaoan

“…ObjectiveTo explore the basic mechanism of exercise preconditioning regulating PI3K/Akt and Nrf2/HO-1 signa-ling pathways and oxidative stress to alleviate cognitive and learning disabilities in rats with hypoxic exposure.MethodsA total of sixty 6-week-old SPF male SD rats were divided into control group, exercise group, exposure group and exercise + exposure group according to random number table method, with 15 rats in each group. …”
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Investigating the Effect of Solanum lycopersicum L. (Tomato) Pomace on Growth Performance and some Blood Indices of Broiler Chickens by Meta-Analysis Method by Zahra Sahragard, seyyed javad Hosseini-vashan, Hossein Naeemipour Younesi, Seyyed Homayon Farhangfar

“…Then the statistical analysis of the data was done in the CMI (CMA) software. Both fixed and random effects models were used to combine the effect size. …”
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Serum lipid profile in systemic lupus erythematosus by Jingxiu Xuan, Jingxiu Xuan, Jingxiu Xuan, Chaoqiong Deng, Huiqin Lu, Yan He, Yan He, Yan He, Jimin Zhang, Xiaoli Zeng, Xiaoli Zeng, Yuechi Sun, Yuechi Sun, Yuechi Sun, Shiju Chen, Shiju Chen, Shiju Chen, Yuan Liu, Yuan Liu, Yuan Liu

“…A systematic review and meta-analysis were conducted to assess the epidemiology of lipid profiles in patients with SLE, and a random-effects meta-analysis was performed for data synthesis.ResultsTC and TG were elevated significantly, and HDL decreased in patients with SLE compared to HCs. …”
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Analyzing Expressions of the Design Argument and Answering Doubts Attributed to it Based on the Type of Logical Reasoning by Shokoh Monazzam, Abbas Abbaszadeh, Naser Forouhi

“…Therefore, design order should prove that the existence of purpose in the world of nature, and its random emergence refusal indicates that the world moderator has characteristics of science and power. …”
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Associations between changes in the gut microbiota and liver cirrhosis: a systematic review and meta-analysis by Ye Liu, Ziwei Chen, Chang Li, Tianhan Sun, Xuanmei Luo, Boyue Jiang, Meilan Liu, Qing Wang, Tong Li, Jianfu Cao, Yayu Li, Yuan Chen, Lu Kuai, Fei Xiao, Hongtao Xu, Hongyuan Cui

“…Ratio of autochthonous to non-autochthonous taxa was calculated as the cirrhosis dysbiosis ratio (CDR). Using a random-effects model, the standard mean deviation (SMD) and 95% confidence interval (CI) were calculated. …”
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Analysis of the risk of oncological adverse events associated with infliximab in combination with azathioprine compared to monotherapy: insights from the FAERS database by Qian Qiao, Qian Qiao, Qian Qiao, Jiachen Sun, Jiachen Sun, Jiachen Sun, Ya Zheng, Ya Zheng, Yingying Mi, Yingying Mi, Yingying Mi, Yanan Gong, Yanan Gong, Jiahui Liu, Jiahui Liu, Jiahui Liu, Wenyue Rui, Wenyue Rui, Wenyue Rui, Yumei Ma, Yumei Ma, Yumei Ma, Yongning Zhou, Yongning Zhou, Min Liu, Min Liu

“…The results of the Weber distribution suggest a random failure-type profile for the infliximab and azathioprine-only group, while an early failure-type profile was observed for the combination therapy. …”
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Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China by Hui Wen, Ziyu Zhong, Xujie Kong, Jichun Wang, Renqiang Li, Zhaosheng Wang, Shulin Yu, Zhen Xu, Hexin Chen, Qi Zhu, Pan Wang, Jiaquan Duan, Yan Ren

“…We conducted an in-depth analysis of ecosystem carbon benefit in Shandong Province from 2000 to 2020 using the multimodel random forest ensemble method, which enhances the accuracy of carbon sink simulations across terrestrial ecosystems. …”
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Effect of Tiaoxin Recipe on Memory Learning and Synaptic Plasticity in APP/PS1 Double Transgenic Alzheimer's Disease Mice based on αCaMKⅡ-CREB-BDNF Signal Pathway by Xiaowen WANG, Hong QIAN, Chunjuan SHEN, Yanjun LI, Haixin YUAN, Jian WANG

“…To explore the mechanism of Tiaoxin recipe in improving memory learning and synaptic plasticity in APP/PS1 double transgenic AD mice from the point of view of αCaMKⅡ-CREB-BDNF signal pathway.Methods:A total of 54 3-month-old APP/PS1 male mice were randomly divided into the model group, the Tiaoxin recipe group and the Donepezil group according to the method of random number table, with 18 cases in each group. …”
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Effect of Electroacupuncture at Shuigou Acupoint on L-type Voltage-gated Calcium Channels in hippocampal CA1 region of MCAO rats by Da LONG, Ling CHEN, Yu YAO, Mingan ZENG

“…After the mice waking up, Zausinger six acupoint scale was used to the neurological function score of the mice, and the mice which scored 1 to 3 points were selected for the experiment. They were randomly divided into Shuigou group, control group and non-acupiont group according the random number method, with 10 mice in each group. …”
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Application effect of behavioral intervention using the transtheoretical model of behavioral change on improving elderly patients’ adherence of fall prevention (基于跨理论模型的行为干预对提高老年患者... by YANG Jing (杨静), DU Hongdi (杜红娣)

“…Cases (n=115) and controls (n=116) were randomized using random number table method. Controls were applied with common fall prevention practices, while the cases were applied with TTM method in addition to the common practices applied to the controls. …”
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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

“…In constructing the short-term treatment efficacy prediction model, ensemble learning methods such as adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and RandomForest performed the best. However, in terms of model interpretability, decision tree methods provide the most intuitive display of the predictive details of the model. …”
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