Efficacy and safety of nivolumab plus ipilimumab in gastrointestinal cancers: a systematic review and meta-analysis by Bowen Dai, Jiaping Jiang, Xiaoyu Yu, Haihua Zhan, Zhengchuan Hu

“…We extracted data from 10 randomized controlled trials and utilized a random effects model to assess the objective response rate (ORR), median progression-free survival (mPFS), median overall survival (mOS), median duration of response (mDOR), and treatment-related adverse events (TRAEs). …”
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Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study by Alan Kuang, Marie-France Hivert, M. Geoffrey Hayes, William L. Lowe, Denise M. Scholtens

“…GWAS was conducted within each ancestry group and results were combined using random-effects meta-analysis. For the heterogeneous ancestry mega-analysis pipeline, data for all individuals were collectively imputed to the Trans-Omics for Precision Medicine (TOPMed) cosmopolitan reference panel, and GWAS was conducted using a unified mega-analysis. …”
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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

“…Results Among the 110 combination predictive models, the Support Vector Machine + Random Forest (SVM + RF) model demonstrated the highest AUC values of 0.972 and 0.922 in the training and internal validation sets, respectively, indicating an optimal predictive performance. …”
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Medicinal plants with anti-SARS-CoV activity repurposing for treatment of COVID-19 infection: A systematic review and meta-analysis by EBENEZER OLUWAKEMI, BODEDE OLUSOLA, AWOLADE PAUL, JORDAAN MARYAM A., OGUNSAKIN ROPO E., SHAPI MICHAEL

“…Fourteen articles describing 30 different plants met our eligibility criteria. Random effects model and subgroup analysis were applied to investigate heterogeneity. …”
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Effect of preoperative hair removal vs. no removal on surgical site infections: a systematic review and meta-analysis [version 1; peer review: 2 approved] by Abdulsalam Aleid, Zainab Aleid, Abdulmajeed Aljabr, Abdulrahman Almoslem, Lama AlOraini, Mutlaq Alsubaie, Abdulaziz Alharthi, Hasan Ali Abdullah Alaidarous, Saud Nayef Aldanyowi, Abbas Al Mutair

“…Studies eligible for inclusion were randomized controlled trials (RCTs) and cohort studies reporting SSI rates. …”
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Historical and projected forest cover changes in the Mount Kenya Ecosystem: Implications for sustainable forest management by Brian Rotich, Abdalrahman Ahmed, Benjamin Kinyili, Harison Kipkulei

“…Land Use Land Cover (LULC) maps for 2000, 2014, and 2023 were classified using Random Forest (RF) in Google Earth Engine (GEE). Explanatory factors of LULC change (slope, aspect, population density, proximity to rivers, roads, and towns) were used to project LULC for 2035 using Cellular Automata and Markov Chain Analysis (CA-MCA).Six LULC types (open forest, closed forest, cropland, bareland, built-up, shrubland and grassland) were successfully classified with accuracies exceeding 82.5% and Kappa coefficients above 0.77. …”
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The interplay between sex, lifestyle factors and built environment on 20-year cardiovascular disease incidence; the ATTICA study (2002–2022) by Evangelia G. Sigala, Christina Chrysohoou, Fotios Barkas, Evangelos Liberopoulos, Petros P. Sfikakis, Antigoni Faka, Costas Tsioufis, Christos Pitsavos, Demosthenes Panagiotakos

“…Moreover, this study seeks to explore sex-specific differences in urban and rural settings.MethodsThe ATTICA Study is a prospective study conducted from 2002 onwards. At baseline, a random sample of 3,042 CVD-free adults (49.8% men) were randomly drawn from the population of the Attica region, in Greece, with 78% dwelling in urban and 22% in rural municipalities. …”
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Patient-sharing networks among Finnish primary healthcare professionals taking care of patients with mental health or substance use problems: a register study by Christian Hakulinen, Marko Elovainio, Jaana Suvisaari, Timo Sinervo, Laura Hietapakka, Visa Väisänen, Ripsa Niemi, Mai Gutvilig, Outi Linnaranta

“…A patient-sharing relationship was defined between two professionals if a same patient had visited both of them at least once.Primary outcome measures We analysed the potential associations of the network structure and the nodal attributes (municipality, belonging to a certain occupational group and the service type) with nodal formation using Exponential Random Graph Models.Results The main findings showed that two professionals were more likely to share patient(s) when they belonged to the same occupational group, provided similar types of services or worked in the same municipality. …”
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The Instant Effects of Continuous Transcutaneous Auricular Vagus Nerve Stimulation at Acupoints on the Functional Connectivity of Amygdala in Migraine without Aura: A Preliminary S... by Wenting Luo, Yue Zhang, Zhaoxian Yan, Xian Liu, Xiaoyan Hou, Weicui Chen, Yongsong Ye, Hui Li, Bo Liu

“…Each participant attended two kinds of eight-minute stimulations, taVNS and sham-taVNS (staVNS), separated by seven days in random order. Finally, 27 of them were included in the analysis of seed-to-voxel FC with the left/right amygdala as seeds. …”
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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

“…Thirteen machine learning techniques, including Random Forest, Support Vector Machine, and Artificial Neural Network, were employed. …”
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Association between Helicobacter pylori Infection and Occurrence of Anemia among Pregnant Women Attending Antenatal Care in Kulito Health Center, Halaba Zone, South Ethiopia, 2018 by Bahredin Abdella, Mohammed Ibrahim, Iyasu Tadesse, Kalkidan Hassen, Mekonnin Tesfa

“…Institution-based cross-sectional study was employed. Systematic random sampling procedure was employed to select 236 pregnant women who attended antenatal care at Kulito Health Center. …”
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Treatment of Vascular Dementia by Using Fuyuan Capsule Combined with "Xingnao Kaiqiao" Acupuncture by LI Hongmei, WANG Xiaoqin, GUO Yang, SHI Hongxing, GUO Xiao, WANG Xue

“…According to the principle of 1∶1 random allocation, they were divided into treatment group and control group, with 75 cases in each group. …”
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Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques by Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida

“…In this study, we evaluate the proposed model's performance using metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R2), alongside comparative analyses against SVR (Support Vector Regression), AdaBoost, and RF (Random Forest) models. The results show that STH-MLR-LSTM achieves the best average prediction results across the six locations. …”
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Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity by H. Chen, Q. Liang, J. Zhao, S. B. Maharjan

“…In the innovative framework, multi-temporal imagery is utilised with a random forest model to extract glacial lake water surfaces. …”
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Postoperative blood glucose increase can predict all-cause mortality within 3 months after successful interventional recanalization in patients with acute large vessel occlusion ce... by Wensheng Zhang, Yajie Liu, Hongxing Zhou, Jie Li, Weifang Xing, Kaifeng Li, Yudi Li, Xiongjun He, Li Ling, Jinzhao He

“…Methods BGI was defined as fasting blood glucose levels higher than preoperative random blood glucose levels on the first morning after surgery. …”
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Mortality and Its Predictors among Adult Human Immune-Deficiency Virus-Infected Patients Attending Their Antiretroviral Treatment at Health Centers, Addis Ababa, Ethiopia: Multicen... by Selam Tesfayohannes, Sisay Shine, Abinet Mekuria, Sisay Moges

“…A total of 665 samples were collected using a computer-generated simple random sampling method in each of the three health centers that were chosen by a lottery system depending on the number of patients in the follow-up. …”
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Association between body composition indices and vascular health: a systematic review and meta-analysis by Mohammad Nikoohemmat, Amirhossein Ramezani Ahmadi, Ali Valizadeh, Seyed Mohammadmisagh Moteshakereh, Reza Yari-Boroujeni, Zahra Seifi, Majid Valizadeh, Behnaz Abiri

“…Statistical analyses utilized Stata 17.0, employing random-effects meta-analysis, sensitivity analysis, and evaluation of publication bias. …”
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Temperature Is a Key Factor Affecting Total Phosphorus and Total Nitrogen Concentrations in Northeastern Lakes Based on Sentinel-2 Images and Machine Learning Methods by Haoming Qin, Chong Fang, Ge Liu, Kaishan Song, Zhuoshi Li, Sijia Li, Hui Tao, Zhaojiang Yan

“…Results indicate that random forest (RF) and XGBoost regression algorithms perform better. …”
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Retrieval of Land Surface Temperature From Passive Microwave Observations Using CatBoost-Based Adaptive Feature Selection by Yang Dai, Yingbao Yang, Xin Pan, Penghua Hu, Xiangjin Meng, Fanggang Li, Zhenwei Wang

“…We compared the accuracy of the proposed method with the Holmes, multichannel, and Random Forest algorithms. Results showed that the proposed method had lowest RMSE, with the value of 3.28 K (1.95 K), 2.69 K (1.65 K), and 3.71 K (2.22 K) on grassland, cropland, and barren land at daytime (nighttime), respectively. …”
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Regular human insulins versus rapid-acting insulin analogues in children and adolescents with type 1 diabetes: a protocol for a systematic review with meta-analysis and Trial Seque... by Johanne Juul Petersen, Sophie Juul, Caroline Barkholt Kamp, Pascal Faltermeier, Christina Dam Bjerregaard Sillassen, Tiago Jeronimo Dos Santos, Janus Christian Jakobsen

“…Data will be analyzed using fixed-effect meta-analyses, random-effects meta-analyses, and Trial Sequential Analysis. …”
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