Central Contrast Sensitivity as an Outcome Measure in Randomized Controlled Trials in Glaucoma—A Systematic Review by Alexander Sverstad, Jens Riis Møller, Gianni Virgili, Augusto Azuara-Blanco, Josefine Freiberg, Simone Ahrensberg, Olav Kristianslund, Goran Petrovski, Miriam Kolko

“…This systematic review aimed to describe the different methods used to measure CCS in randomized controlled trials (RCT) involving glaucoma patients. …”
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Comparing Synchronous and Asynchronous Remotely Delivered Lifestyle Interventions: Protocol for a Randomized Noninferiority Trial by Sherry Pagoto, Ran Xu, Richard Bannor, Christie Idiong, Jared Goetz, Denise Fernandes

“…We will model percent weight loss at 6 and 12 months using general linear regression models with the intent-to-treat sample. Secondary outcomes include engagement, collective efficacy, cost, and weight loss at 18 and 24 months. …”
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Association between chronic obstructive pulmonary disease and osteoporosis: Mendelian randomization combined with bibliometric analysis by Fangjun Yang, Huaming Wang, Miaomiao Liu, Shengtai Pei, Xiaoming Qiu

“…The aim of this study is to investigate the causal relationship between COPD and OP by two-sample Mendelian randomization (MR) analysis. The current status of cross-sectional research between COPD and OP in the past decade was explored through bibliometrics. …”
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Just-in-Time Delivery of Cognitive Behavioral Therapy–Based Exercises: Single-Case Experimental Design With Random Multiple Baselines by Takeyuki Oba, Keisuke Takano, Daichi Sugawara, Kenta Kimura

“…ResultsApproximately 70% (6/8) of the participants perceived the intervention to be useful and helpful. A randomization test detected a statistically significant decrease in reported stress levels after the intervention began (PPdzPdz ConclusionsThe intervention was feasible and effective in reducing subjective stress (and rumination) in the study sample. …”
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Genetically predicted ankylosing spondylitis increases the risk of heart failure: a Mendelian randomization study by Chennan Liu, Chennan Liu, Laicheng Wang, Mei Lin, Mei Lin, Jing You, Jing You, Xuan Zheng, Xuan Zheng, Ailing Wang, Ailing Wang, Yunchai Lin, Yunchai Lin, Feng Peng, Feng Peng, Dan Hu

“…Therefore, we conducted this Mendelian randomization to investigate the causal relationship between ankylosing spondylitis and CVD.MethodsWe performed a two-sample Mendelian randomization analysis to establish a causal relationship between ankylosing spondylitis and the risk of six prevalent CVDs: hypertension, heart failure, atrial fibrillation, coronary heart disease, myocardial infarction, and peripheral artery disease. …”
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Design and Baseline Evaluation of Social Media Vaping Prevention Trial: Randomized Controlled Trial Study by William Douglas Evans, Megumi Ichimiya, Jeffrey B Bingenheimer, Jennifer Cantrell, Alexander P D'Esterre, Olivia Pincus, Linda Q Yu, Elizabeth C Hair

“…Interventions delivered by social media can be used with large samples to evaluate social media health behavior change interventions. …”
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Childhood Adiposity and Risk of Major Clinical Heart Diseases in Adulthood: A Mendelian Randomization Study by Yan Xiong, Yijia Tang, Jie Zhou, Yang Tian, Fuli Chen, Gang Li, Hui Huang, Hao Huang, Long Zhou

“…Methods and Results To investigate the causative relationships and underlying mechanisms between childhood adiposity and adult heart diseases, 3 main methods of Mendelian randomization were used: 2‐sample Mendelian randomization, multivariable Mendelian randomization with controlling for several cardiometabolic risk variables, and mediation analysis. …”
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The Gut Microbiota and the Nerve-Bone Axis: Insights from a Mendelian Randomization and Mediation Analysis by Qiao X, Lou Y, Chen H, Zhang H, Cao J, Feng X, Guo L, Pan Q

“…Initially, we employed a two-sample MR approach to evaluate the causal impact of gut microbiota on BMD. …”
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Dairy intake and cognitive function in older adults in three cohorts: a mendelian randomization study by Natalia Ortega, Nick J. Mueller, Abbas Dehghan, Tosca O. E. de Crom, Armin von Gunten, Martin Preisig, Pedro Marques-Vidal, Marco Vinceti, Trudy Voortman, Nicolas Rodondi, Patricia O. Chocano-Bedoya

“…Methods We included 43,836 individuals over 55 years old with genotyping, dietary data, and cognitive function measurements from three population-based studies: CoLaus|PsyCoLaus (Switzerland), the Rotterdam Study (the Netherlands) and the Canadian Longitudinal Study on Aging (CLSA - Canada). We performed a one-sample Mendelian randomization using two-stage least-squares regression. …”
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Unraveling Genetic Causality Between Type 2 Diabetes Mellitus and Hemiplegia Based on Mendelian Randomization by Li Y, Zhang Z, Jin W, Yuan Y, Cen X, Tan J, Wu X

“…Therefore, we performed two-sample Mendelian randomization (MR) analysis to explore the causal relationship between T2DM and hemiplegia.Methods: Genome-wide association study (GWAS) data related to hemiplegia was obtained from the FinnGen study. …”
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A randomized controlled clinical trial on efficacy and safety of anakinra in patients with severe COVID‐19 by Amir Behnam Kharazmi, Omid Moradi, Mehrdad Haghighi, Mehran Kouchek, Alireza Manafi‐Rasi, Masoomeh Raoufi, ‪Simin Dokht Shoaei, Fahimeh Hadavand, Mahmood Nabavi, Mir Mohammad Miri, Sara Salarian, Seyedpouzhia Shojaei, Shayesteh Khalili, Mohammad Sistanizad, Setayesh Sadeghi, Amirhossein Karagah, Saemeh Asgari, Morteza Jaffaraghaei, Shahram Araghi

“…Furthermore, no increased risk of infection was observed. Further randomized placebo‐controlled trials with a larger sample size are needed to confirm these findings.…”
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The influence of obesity-related factors in the etiology of renal cell carcinoma-A mendelian randomization study. by Mattias Johansson, Robert Carreras-Torres, Ghislaine Scelo, Mark P Purdue, Daniela Mariosa, David C Muller, Nicolas J Timpson, Philip C Haycock, Kevin M Brown, Zhaoming Wang, Yuanqing Ye, Jonathan N Hofmann, Matthieu Foll, Valerie Gaborieau, Mitchell J Machiela, Leandro M Colli, Peng Li, Jean-Guillaume Garnier, Helene Blanche, Anne Boland, Laurie Burdette, Egor Prokhortchouk, Konstantin G Skryabin, Meredith Yeager, Sanja Radojevic-Skodric, Simona Ognjanovic, Lenka Foretova, Ivana Holcatova, Vladimir Janout, Dana Mates, Anush Mukeriya, Stefan Rascu, David Zaridze, Vladimir Bencko, Cezary Cybulski, Eleonora Fabianova, Viorel Jinga, Jolanta Lissowska, Jan Lubinski, Marie Navratilova, Peter Rudnai, Simone Benhamou, Geraldine Cancel-Tassin, Olivier Cussenot, Elisabete Weiderpass, Börje Ljungberg, Raviprakash Tumkur Sitaram, Christel Häggström, Fiona Bruinsma, Susan J Jordan, Gianluca Severi, Ingrid Winship, Kristian Hveem, Lars J Vatten, Tony Fletcher, Susanna C Larsson, Alicja Wolk, Rosamonde E Banks, Peter J Selby, Douglas F Easton, Gabriella Andreotti, Laura E Beane Freeman, Stella Koutros, Satu Männistö, Stephanie Weinstein, Peter E Clark, Todd L Edwards, Loren Lipworth, Susan M Gapstur, Victoria L Stevens, Hallie Carol, Matthew L Freedman, Mark M Pomerantz, Eunyoung Cho, Kathryn M Wilson, J Michael Gaziano, Howard D Sesso, Neal D Freedman, Alexander S Parker, Jeanette E Eckel-Passow, Wen-Yi Huang, Richard J Kahnoski, Brian R Lane, Sabrina L Noyes, David Petillo, Bin Tean Teh, Ulrike Peters, Emily White, Garnet L Anderson, Lisa Johnson, Juhua Luo, Julie Buring, I-Min Lee, Wong-Ho Chow, Lee E Moore, Timothy Eisen, Marc Henrion, James Larkin, Poulami Barman, Bradley C Leibovich, Toni K Choueiri, G Mark Lathrop, Jean-Francois Deleuze, Marc Gunter, James D McKay, Xifeng Wu, Richard S Houlston, Stephen J Chanock, Caroline Relton, J Brent Richards, Richard M Martin, George Davey Smith, Paul Brennan

“…We addressed this question using genetic markers as proxies for putative risk factors and evaluated their relation to RCC risk in a mendelian randomization (MR) framework. This methodology limits bias due to confounding and is not affected by reverse causation.…”
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Gut microbiota and risk of heart failure in European population—A comprehensive Mendelian randomization study by Liyan Huang, Xuemei Zhao, Jing Wang, Jingyuan Guan, Boping Huang, Jiayu Feng, Xinqing Li, Yuhui Zhang, Jian Zhang

“…Methods and results Two‐sample Mendelian randomization (MR) analysis was applied to investigate the causal association of the gut microbiome with HF among individuals of European ancestry. …”
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Multisite Chronic Pain and the Risk of Breast Cancer and Its Subtypes: A Mendelian Randomization Study by Li W, Liu J, Wang T, Hou Y, Bao J, Song Y, Liu L, Ge S, Shang Y, Wang R, Zhang M, Xu M

“…The study is the first to apply Mendelian randomization (MR) to explore the causal relationship between CP and BC.Methods: Two-sample MR and multivariable MR (MVMR) were performed using genome-wide association study (GWAS) data. …”
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Risk of myocardial infarction and Osteoporosis: Insights from the 2015–2018 NHANES and Mendelian randomization Studies by Guanmou Li, Bo Peng, Junqiao Fan, Dongqun Lin, Kunyang He, Rongjun Zou, Xiaoping Fan

“…Our study aims to provide evidence on the relationship between myocardial infarction and osteoporosis through the analysis of data from the National Health and Nutrition Examination Survey (NHANES) and Mendelian Randomization (MR) analysis from 2015 to 2018. Methods: A two-sample MR study using summary statistics from genome-wide association studies (GWAS) was conducted to determine the causal relationship between myocardial infarction and osteoporosis. …”
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M-CSF Protects Against Ulcerative Colitis via Aconitate: Mendelian Randomization and Experimental Evidence by Zhang Y, Huang L, Yue N, Mai Z, Kong C, Tian C, Wei DR, Yao J, Wang L, Li D

“…Yuan Zhang,1,2,* Longbin Huang,3,* Ningning Yue,3,* Zhiliang Mai,3,* Chen Kong,3 Chengmei Tian,4 Dao-ru Wei,5 Jun Yao,1 Lisheng Wang,1 Defeng Li1 1Department of Gastroenterology, Shenzhen People’s Hospital (the Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People’s Republic of China; 2Department of Medical Administration, Huizhou Institute for Occupational Health, Huizhou, Guangdong, People’s Republic of China; 3Department of Gastroenterology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, People’s Republic of China; 4Department of Emergency, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People’s Republic of China; 5Department of Rehabilitation, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; the First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Lisheng Wang, Department of Gastroenterology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; the First Affiliated Hospital, Southern University of Science and Technology), No. 1017, Dongmen North Road, Luohu District, Shenzhen, 518020, People’s Republic of China, Tel +86 755 25533018, Email wanglsszrmyy@163.com Defeng Li, Department of Gastroenterology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; the First Affiliated Hospital, Southern University of Science and Technology), No. 1017, Dongmen North Road, Luohu District, Shenzhen, 518020, People’s Republic of China, Tel +86 755 25533018, Email ldf830712@163.comBackground: Although cytokines have been implicated in the development of ulcerative colitis (UC), the potential mediating role of metabolite levels in this association remains unclear.Methods: Utilizing data from genome-wide association studies (GWAS) encompassing 91 circulating cytokines, 1400 blood metabolites, and 178,689 UC cases, we performed a two-sample Mendelian randomization (MR) analysis to investigate the effect of metabolites mediated cytokines on the development of UC. …”
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The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random by Wahiba Bouabsa

“…This proposed estimator is given by combining Missing At Random (MAR) with the local linear approach. Finally, a comparison study based on simulated data is also provided to illustrate the finite sample performances and the usefulness of the local linear approach with MAR to the presence of even a small proportion of outliers in the data.…”
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Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments by Wenqiang Wu, Chuixin Kong, Zhongmin Xiao, Qianping Huang, Mingfeng Yu, Zhiye Ren

“…The core innovation lies in a novel dual optimization framework that combines Hammersley sequence sampling with a comprehensive multi-indicator heuristic evaluation mechanism. …”
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Modeling Wetland Biomass and Aboveground Carbon: Influence of Plot Size and Data Treatment Using Remote Sensing and Random Forest by Tássia Fraga Belloli, Diniz Carvalho de Arruda, Laurindo Antonio Guasselli, Christhian Santana Cunha, Carina Cristiane Korb

“…This study examined how different sample data treatments and plot sizes impact a random forest model’s performance based on RS for AGB and Corg prediction. …”
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A study on improved random forest-based anomaly detection of regional tariff data under distributed photovoltaic access by Shujun Ji, Kai Liu, Bo Ling, Jiadong Li, Jinteng Wang, Xun Ma

“…Subsequently, decision trees are constructed, incorporating oversampling factors and random undersampling techniques to enhance the random forest model. …”
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