The influence of previous preterm birth with singleton pregnancy on the risk of recurrence in subsequent twin pregnancy: a meta-analysis by Pinghua Shen, Wenjun Wu, Yehui Jiang

“…We designed his systematic review to provide valuable information for pregnant women and obstetricians during counselling and for individuals involved in the planning of preventive strategies.Methods We comprehensively searched the PubMed, Embase and Scopus databases to identify relevant studies published until October 2023 following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We applied a random-effects meta-analysis to the data gathered from the selected studies.Results Among the 460 initially identified studies, only eight met the eligibility criteria. …”
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Knowledge of Accredited Social Health Activists in India: a systematic review and meta analysis of evidence drawn from primary studies published between 2005 and 2022 by Shambhavi Singh, Bhaskar Tiwary, Manish Barik, Hemlata Arora, Sruthi Susan Abraham, Piyusha Majumdar, Daliya Sebastian, Svea Closser

“…In meta-analysis, pooled prevalence was estimated using the random effect model. Meta-analysis was performed using the statistical software R version. 3.6.1 for Microsoft Windows. …”
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Assessment of the Effectiveness of Fascial Manipulation in Patients with Degenerative Disc Disease of the Lumbosacral Spine by Anna Mikołajczyk-Kocięcka, Marek Kocięcki, Lech Cyryłowski, Aleksandra Szylińska, Paweł Rynio, Magdalena Gębska, Ewelina Szuba, Jarosław Kaźmierczak

“…Patients for this study were selected at random. <b>Results:</b> This study presents a statistically significant difference between the treatment effects, as assessed by the degree of pain (<i>p</i> < 0.001) and mobility limitation (<i>p</i> < 0.001), as well as the presence of stretch symptoms (<i>p</i> < 0.001): all three parameters improved significantly more in the study group compared to the control group. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. …”
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Diagnostic accuracy of MRI-based radiomic features for EGFR mutation status in non-small cell lung cancer patients with brain metastases: a meta-analysis by Yuqin Long, Rong Zhao, Xianfeng Du

“…Meta-analysis was conducted using random-effects models.ResultsA total of 13 studies involving 2,348 patients were included. …”
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Association of Methylenetetrahydrofolate Reductase C677T Gene Polymorphisms with Mild Cognitive Impairment Susceptibility: A Systematic Review and Meta-Analysis by Jiahui Sun, Xuefan Jiang, Ming Zhao, Lina Ma, Hui Pei, Nanyang Liu, Hao Li

“…PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched from their inception to March 21, 2021, with language restricted to English or Chinese. We used fixed or random effects to examine the association between MTHFR C677T (rs1801133) gene variants and MCI susceptibility. …”
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Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT by Minmini Selvam, Abjasree Sadanandan, Anupama Chandrasekharan, Sidharth Ramesh, Arunan Murali, Ganapathy Krishnamurthi

“…Lung nodules were classified using 13 machine-learning algorithms, including Linear Discriminant Analysis, Random Forest, AdaBoost, and eXtreme Gradient Boosting. …”
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Physiological and intestinal microbiota responses of sea cucumber Apostichopus japonicus to various stress and signatures of intestinal microbiota dysbiosis by Liang Cui, Yumeng Xie, Kai Luo, Mingyang Wang, Longzhen Liu, Longzhen Liu, Changlin Li, Xiangli Tian

“…The increased abundance of Verrucomicrobia species could also be identified as the sensitive indicator for diagnosing whether the host was under stressful pressure by random forest analysis.…”
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Female Gender Remains a Significant Barrier to Access Cataract Surgery in South Asia: A Systematic Review and Meta-Analysis by Qunru Ye, Yanxian Chen, William Yan, Wei Wang, Jingxian Zhong, Cong Tang, Andreas Müller, Bo Qiu

“…Pooled odds ratios (ORs) for males receiving cataract surgery in comparison with females were calculated by a random effect model. Results. Sixteen studies with 135972 subjects were included in the final analysis. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…It observed that Artificial Neural Networks (ANN) models were preferred, probably due to their capability to learn and model non-linear and complex relationships in addition to other popular models such as Random Forest (RF) and Support Vector Machines (SVM). …”
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Dynamic coronary roadmap-guided PCI reduces contrast volume and radiation time compared to standard angiography PCI: A meta-analysis by Mohammad Al Hayek, Ibrahem A. Beshr, Mohammed S. Beshr

“…Outcomes were contrast media usage, radiation time, dose-area product, air kerma, radiation dose, post-PCI eGFR, AKI incidence, and procedure success. We used a random-effects model and analyzed outcomes using standardized mean difference (SMD) and odds ratio (OR). …”
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Database of soil properties incorporating organic content from roots and soil organisms for regional slope stabilisation by Yangyang Li, Saranya Rangarajan, Harianto Rahardjo, Yuanjie Shen, Abdul Halim Hamdany, Alfrendo Satyanaga, Eng Choon Leong, Swee Khian Wong, Chien Looi Wang, Huiling Kew, Tint Htoo Naing, Choon Hock Poh, Subhadip Ghosh

“…Hence, this study pioneers the construction of an extensive soil database using random forest machine learning and ordinary kriging methods, focusing on the influence of plant roots on the saturated and unsaturated properties of residual soils. …”
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Utilizing liquid-liquid biopolymer regulators to predict the prognosis and drug sensitivity of hepatocellular carcinoma by Jianhao Li, Han Chen, Lang Bai, Hong Tang

“…Methods This study conducted a comprehensive review of 3,685 liquid-liquid biopolymer regulators, leading to the development of a LLPS related Prognostic Risk Score (LPRS) for HCC through bootstrap-based univariate Cox, Random Survival Forest (RSF), and LASSO analyses. …”
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Efficacy and Safety of a Combination of Enteral and Parenteral Nutrition Support in the Postoperative Period for Patients with Gastrointestinal Cancer: A Systematic Review and Meta... by Meixiang Cai, Bo Yang, Yaping Zheng, Lei Ding

“…The Cochrane Risk of Bias Assessment tool was used to assess the quality of the RCTs. Fixed- and random-effects models were chosen according to the heterogeneity of variables for the synthesis of results. …”
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Current situation and influencing factors of palliative care practice ability among oncology nurses: A multicenter cross-sectional study by Xiaofei Nie, Fanfan Lv, Longti Li, Jia Jia

“…Methods: A multicenter cross-sectional study was conducted using stratified random sampling to select 26 tertiary hospitals’ oncology departments in Hubei Province, China. …”
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Prevalence of cataract and its associated factors among adult diabetic patients attending at diabetic care clinics in Northwest Ethiopia, 2023 by Abebech Fikade Shumye, Melkamu Temeselew Tegegn, Matiyas Mamo Bekele

“…Methods A multicenter cross-sectional study was conducted in Northwest Ethiopia from May 8 to June 8, 2023. A systematic random sampling technique was used to select study subjects. …”
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Diversity-oriented synthesis of stereodefined tetrasubstituted alkenes via a modular alkyne gem-addition strategy by Xuan Di, Sitian Zhou, Yali Qin, Wenjun Li, Yue Zhang, Jie Zhang, Xu Shen, Jie Han, Jin Xie, Hongming Jin

“…The merit of this approach is demonstrated by programmed assembly of diverse functionalized multi-arylated alkenes, especially enabling the stereospecific synthesis of all six possible stereoisomers of tetraarylethene (TAE) derived from the random permutation of four distinct aryl substituents around the double bond. …”
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Awareness and Its Associated Factors of Obstetrics Fistula among Antenatal Care Attendees in Injibara Town Health Institutions, Awi Zone, North West, Ethiopia, 2019 by Wondu Feyisa Balcha, Azezu Asres Nigussie, Fentahun Yenealem Beyene, Azimeraw Arega Tesfu

“…Data was collected by a systematic random sampling technique and entered into a computer using Epi data 3.5, edited and analyzed using Statistical Package of Social Sciences 23.0 version. …”
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Differences in clinical characteristics between coronavirus disease 2019 (COVID-19) and influenza: a systematic review and meta-analysis by Yingying Han, Jia Guo, Xingzhao Li, Zhuan Zhong

“…We searched PubMed, Embase and Web of Science for articles and performed a meta-analysis using Stata 14.0 with a random-effects model. This meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. …”
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Optic Nerve Sheath Diameter in Predicting the Neurological Outcomes of Cardiac Arrest Survivors: A Systematic Review and Meta-analysis by Parisa Jafari Khouzani, Erfan Rahmani, Mehdi Rezaei, Sasan Pohrbagher Benam, Atousa Moghadam Fard, Reza Amani-Beni, Maziar Daneshvar, Faezeh Jalayer Sarnaghy, Naghme Masoomi Goodarzi, Ramila Abedi Azar, Amirhossein Mirbolook, Peyman Bashghareh, Elham Bibak, Babak Goodarzi, Zahra Salarinezhad, Reza Zahedpasha, Marzieh Hajizaman, Negar Pourhossein Rahmani, Azam Darvishi, Alireza Hadizadeh, Fatemeh Zandi, Ashkan Azizi, Armin Naderi, Sepideh Shah Hosseini, Asie Sanjary, Mozhdeh Mohammadi Virsoudi, Habibollah Afshang, Seyedsaber Mirabdali, Navid Fathalian, Pouria Momeni, Mahsan Valizade, Fateme Nozari, Hamed Ghorbani, Sanam Mohammadzadeh, Seyed Kiavash Sajadi, Azam Abdollahi, Mehrdad Farrokhi

“…Based on the heterogeneity evaluation results, fixed or random effects models were used to estimate the pooled diagnostic parameters. …”
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