Comparisons of open surgical repair, thoracic endovascular aortic repair, and optimal medical therapy for acute and subacute type B aortic dissection: a systematic review and meta-... by Jianping Liu, Xiaohong Chen, Juan Xia, Long Tang, Yongheng Zhang, Lin Cao, Yong Zheng

“…The results require further large-scale randomized controlled trials.…”
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A novel multi-model estimation of phosphorus in coal and its ash using FTIR spectroscopy by Arya Vinod, Anup Krishna Prasad, Sameeksha Mishra, Bitan Purkait, Shailayee Mukherjee, Anubhav Shukla, Nirasindhu Desinayak, Bhabesh Chandra Sarkar, Atul Kumar Varma

“…In this article, we explore the potential of FTIR spectroscopy combined with machine learning models (piecewise linear regression—PLR, partial least square regression—PLSR, random forest—RF, and support vector regression—SVR) for quantifying the phosphorus content in coal and coal ash. …”
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Improved Efficacy of a Predictive Model for Swallowing-Induced Breakthrough Pain Based on a Redefined Delineation Method in Locally Advanced Nasopharyngeal Carcinoma by Jian-Da Sun, MD, Ze-Kai Chen, MM, Shu-Peng Liu, PhD, Feng Ye, MD, Ting-Xi Tang, MD, Zhen-Hua Zhou, MD, Han-Bin Zhang, MM, Long-Shan Zhang, MD, Ting Xiao, BS, Lin-Lin Xiao, MM, Xiao-Qing Wang, MD, Jian Guan, MD

“…Assessment of the severity of RIOM was made with the National Cancer Institute's Common Terminology Criteria for Adverse Events, version 4.0. The random forest classification method was chosen to establish and validate the predictive models based on 3 contouring methods. …”
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Whether the Indications for Reverse Shoulder Arthroplasty Should Continue to Be Expanded? A Systematic Review and Meta‐Analysis by Huankun Li, Hangsheng Bao, Zhidong Yang, Baijun Hu, Yaocheng Pan, Yi Wang, Jiayi Chen, Hongjun Chen, Bisheng Shen, Yonggen Zou

“…The minimum follow‐up period was 1 year, and a random‐effects model was utilized for data synthesis. …”
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Extraction of tree branch skeletons from terrestrial LiDAR point clouds by Jimiao Gao, Liyu Tang, Honglin Su, Jiwei Chen, Yuehui Yuan

“…The density-based spatial clustering of applications with noise (DBSCAN) algorithm is then employed to cluster each layer of the point clouds and detect the main trunk. Subsequently, random sample consensus (RANSAC) circle feature detection and linear feature constraints are applied to achieve wood–leaf separation. …”
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Prevalence of suicidal ideation, attempts and associated risk factors in oral cancer patients: a systematic review and meta-analysis by Ganesh Bushi, Mahalaqua Nazli Khatib, Mahendra Pratap Singh, Manisa Pattanayak, Teena Vishwakarma, Suhas Ballal, Pooja Bansal, Abhay M Gaidhane, Balvir S. Tomar, Ayash Ashraf, M Ravi Kumar, Ashish Singh Chauhan, Sanjit Sah, Edward Mawejje, Muhammed Shabil

“…Pooled prevalence rates were calculated using a random-effects model, heterogeneity was assessed with I² statistics, sensitivity analysis was performed using a leave-one-out approach, and publication bias was evaluated using Doi plots and LFK index values. …”
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Oncological outcomes following extreme oncoplastic breast conserving surgery (eOPBCS) for locally advanced breast cancer (LABC): A systematic review and meta-analysis by Megan Chua Wern Ee, Ashley Lee Shi Hui, Wong Hung Chew, Emmeline Elaine Cua-Delos Santos, Sean Li Siwei, Sng Ming Xian, Qin Xiang Ng, Serene Goh Si Ning

“…Data were synthesized using a random-effects model. Results: Of 866 identified studies, 33 were included in the systematic review and 4 in the meta-analysis, involving 2902 patients with LABC. …”
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An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs) by Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu

“…Furthermore, our results indicated that the model built using random forest (RF) method, which integrates clinical characteristics (age, extra-thoracic cancer history, gender), radiological characteristics of pulmonary nodules (nodule diameter, nodule count, upper lobe location, malignant sign at the nodule edge, subsolid status), the artificial intelligence analysis of LDCT data, and liquid biopsy achieved the best diagnostic performance in the independent external non-smokers validation cohort (sensitivity 92%, specificity 97%, area under the curve [AUC] = 0.99). …”
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…This study compared and evaluated 6 commonly used machine learning models, including extreme gradient boosting (XGBoost), support vector regression (SVR), backpropagation neural network (BP), gradient boosting decision tree (GBDT), random forest (RF), and categorical boosting (CatBoost). …”
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The impact of the National Syphilis Prevention Program on the prevalence of syphilis among people living with HIV in China: a systematic review and meta‐analysis by Qingling Zeng, Yuhui Yang, Limin Zhang, Jiangyu Yan, Jian Wang, Jingmin Nie, Qingmei Wang, Yu Luo, Gaoming Li

“…We used a DerSimonian‒Laird random effects model to estimate the prevalence and 95% confidence interval of syphilis among PLHIV. …”
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Prevalence of pulmonary tuberculosis and associated factors among adults living with HIV/AIDS in Ethiopia, systematic review and meta-analysis by Amlaku Nigusie Yirsaw, Berihun Agegn Mengistie, Eyob Getachew, Gebrehiwot Berie Mekonnen, Adamu Ambachew Shibabaw, Alex Ayenew Chereka, Gemeda Wakgari Kitil, Wubet Tazeb Wondie, Gebeyehu Lakew

“…The overall effect across all studies was calculated using a random-effect model. Potential publication bias and heterogeneity in the results between studies were assessed using Egger’s test, forest plot, and I² statistic, respectively. …”
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Risk of stroke associated with proton pump inhibitor use among individuals with and without pre-existing cardiovascular diseases: a systematic review and meta-analysis by Muhammed Shabil, Bijaya K. Padhi, Mahalaqua Nazli Khatib, Soumya V. Menon, Mandeep Kaur, Mukesh Kumari, Puneet Sudan, K. Satyam Naidu, Quazi Syed Zahiruddin, Sarvesh Rustagi, Divya Sharma, Mithhil Arora, Rakesh Kumar Sharma, Edward Mawejje, Prakasini Satapathy, Sanjit Sah

“…Data were synthesized using random-effects meta-analysis models in R software version 4.3. …”
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Interventions for Digital Addiction: Umbrella Review of Meta-Analyses by Peng Lu, Jiamin Qiu, Shiqi Huang, Xinman Wang, Shasha Han, Sui Zhu, Youjing Ning, Fang-fang Zeng, Yuan Yuan

“…A random effects model was used to analyze data, considering heterogeneity and publication bias. …”
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Evidence mapping and overview of systematic reviews of the effects of acupuncture therapies by Yuqing Zhang, Gordon Guyatt, Lin Wang, Hao Wen, Liming Lu, Gabriel Rada, Lai Wang, Shuqi Ge, Yu Dong, Camila Ávila, Xiaorong Tang, Neng-Gui Xu, Zhao Zeng, Camilo Vergara, Rouhao Chen, Xiaojing Wei, Wen Luo, Jing chun Zeng, Chun-Zhi Tang

“…And we also searched for newly published RCTs that were eligible for selected best SRs in PubMed, Medline, Cochrane Central Register of Controlled Trials, Embase and four Chinese electronic databases from its lasted search dates to November 2020.Synthesis of results We reanalysed the selected MAs if new primary studies were added. We used random-effect model to calculate the overall effect.Results Our search identified 120 SRs published in the last 5 years addressing acupuncture therapies across 12 therapeutic areas and 77 diseases and conditions. …”
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Work-related burnout and its associated factors among kindergarten teachers: a multi-center cross-sectional study in Ethiopia by Anmut Endalkachew Bezie, Girum Tareke Zewude, Amensisa Hailu Tesfaye, Amensisa Hailu Tesfaye, Asmare Asrat Yirdaw, Alebachew Bitew Abie, Giziew Abere

“…A sample of 422 kindergarten teachers was recruited using simple random sampling techniques. A standardized, self-administered Copenhagen Burnout Inventory was utilized to measure work-related burnout. …”
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Comparison of biodegradable and durable polymer drug-eluting stents in acute coronary syndrome: a meta-analysis by Tingting Wei, Can Huang, Yifan Zeng, Haoyong Yuan, Zhongshi Wu, Ting Lu, Yalin Liu

“…Statistical pooling was performed to estimate incidence using a random-effects model with generic inverse-variance weighting. …”
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Prevalence and Determinants of Diarrheal Diseases among Under-Five Children in Horo Guduru Wollega Zone, Oromia Region, Western Ethiopia: A Community-Based Cross-Sectional Study by Kefalew Alemayehu, Lemessa Oljira, Melake Demena, Abdi Birhanu, Dasselegn Workineh

“…Of 12,316 households, 620 households that had under-five children were selected by simple random sampling technique from randomly selected kebeles. …”
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Activation of Hippocampal Microglia Mediates Chronic Stress-induced Depression-like Behavior in Rats with Ischemic Stroke by TAO Xi, YANG Chen, TANG Wenjing, WU Siyuan, DENG Jinggui

“…One week after MCAO, rats were assigned to stroke and "stroke + stress" groups according to the SPSS random number generator. And according to time course, the former was divided into 1-week stroke, 2-week stroke and 4-week stroke groups, while the latter was divided into "2-week stroke + 1-week stress" (referred to as "1-week stress") and "4-week stroke + 3-week stress" (as "3-week stress") groups, with 15 rats in each group. …”
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Effect of Vocational Rehabilitation Training Camp on Patients with Spinal Cord Injury Returning to Society by Lingjuan RAO, Li DAI, Li CHEN, Xiaoling LI, Jichao XIONG, Qingjun YANG, Huazhong YANG, Jinlong CUI

“…Objectives:To investigate the therapeutic effect of vocational rehabilitation training camp on patients with spinal cord injury (SCI) returning to society.Methods:A total of 34 patients with spinal cord injury who were hospitalized and received rehabilitation treatments in Xiangya Boai Rehabilitation Hospital from October 2017 to October 2019 were recruited and randomly divided into control group (16 cases) and observation group (18 cases) according to the random number table method. …”
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Acceptance of multiple micronutrient supplementations (MMS) and iron and folic acid supplement utilisation among pregnant and lactating women in the rural part of Ethiopia, 2022: a... by Zewdie Birhanu, Menen Tsegaw, Stanley Chitekwe, Ramadhani Noor, Rachana Sharma, Finina Abebe, Yordanos Tadesse Kidanemariam, Ahmednasir Abdi, Hiwot Getachew, Asli Hassan Aden, Tesfaye Chuko, Tariku Dejene, Ahmed Mohammed Dawd

“…Objective To assess the acceptance of multiple micronutrient supplements and current iron and folic acid supplement utilisation among pregnant and lactating women in rural Ethiopia.Design Community-based cross-sectional study using a mixed method.Setting This study was carried out in five regions (Oromia, Gambela, Sidama, SNNPR (Southern Nations, Nationalities and Peoples Region) and Somali) of Ethiopia, 2022. A multistage random sampling technique was employed. A structured questionnaire was used to collect data from 410 pregnant and lactating women. …”
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