Exploring the role of inflammatory biomarkers in trigeminal neuralgia by Shenglong Lai, Haiyang Li, Yazhou Xing, Du Wu, Lin Wang, Qinghua Liang

“…Inverse variance weighting (IVW) was used as the primary method, complemented by MR Egger regression, weighted median, simple mode, and weighted mode methods. Additionally, Bayesian Weighted MR (BWMR) and Multivariable MR (MVMR) were utilized to validate the findings and explore potential confounders. …”
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Network Meta-Analysis and Trial Sequential Analysis of Randomised Controlled Trials Comparing Robotic, Laparoscopic, and Open Pancreatoduodenectomy by Nejo Joseph, MBChB, Chris Varghese, MBChB, James Lucocq, MBChB, Matthew J. McGuinness, MBChB, Samuel Tingle, MBChB, Giovanni Marchegiani, PhD, Kjetil Soreide, PhD, Mohammed Abu-Hilal, Jas Samra, Marc Besselink, PhD, Steve White, Sanjay Pandanaboyana, FRCS

“…A random-effects meta-analysis and trial sequential analysis (TSA) were conducted for primary outcomes, followed by a Bayesian NMA of length of stay (LOS), duration of surgery, intraoperative blood loss, and pancreas resection-related outcomes Results:. …”
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Global, regional and national sodium intakes in 1990 and 2010: a systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide by J Lennert Veerman, Sarah Lewis, John Britton, Bruce Neal, Kathryn G Andrews, Goodarz Danaei, Majid Ezzati, Yanping Li, Yu Chen, Farshad Farzadfar, Jean-Michel Gaspoz, Idris Guessous, Lital Keinan-Boker, Paul Elliott, Carukshi Arambepola, Antonia Trichopoulou, Philippos Orfanos, Martin C Gulliford, Renata Micha, Dariush Mozaffarian, Wen-Harn Pan, Shoichiro Tsugane, Habibul Ahsan, Manami Inoue, Luz Maria Sanchez-Romero, Andrew Fogarty, Christos Pitsavos, Edward Giovannucci, Stefaan De Henauw, Stephen S Lim, Cho-il Kim, Inge Huybrechts, Didier Garriguet, Simón Barquera, Katia Castetbon, Neville Calleja, Peilin Shi, Hsing-Yi Chang, Yasuhiro Matsumura, Hubert Barennes, Guansheng Ma, Shahab Khatibzadeh, Saman Fahimi, John Powles, Morteza Abdollahi, Anahita Houshiar-rad, Eda Koksal, Sahar Zaghloul, Sirje Vaask, Ana Baylin, Simon Forsyth, Rosely Sichieri, Christian Haerpfer, Ian Brown, Demosthenes B Panagiotakos, Jacqui Webster, Androniki Naska, Dorothy Gauci, Rebecca E Engell, Tim E Byers, Stephanie Smith-Warner, Ibrahim Elmadfa, Mayuree Rao, Pamela A Abbott, Enrique O Abeyá Gilardon, Suad N Al-Hooti, Wulf Becker, Peter Bjerregaard, Lesley T Bourne, Mario V Capanzana, Melanie J Cowan, Dulitha N Fernando, Regina M Fisberg, Brahmam NV Ginnela, Wilbur Hadden, Daniel J Hoffman, Nahla C Hwalla, Hajah Masni Ibrahim, Maria D Jackson, Lars Johansson, Hae-Jeung Lee, Chan Mei Fen, Gert BM Mensink, Rafael A Monge-Rojas, Balakrishna Nagalla, Marga C Ocke, Maciej Oltarzewski, Marja-Leena Ovaskainen, Gulden Ayla Pekcan, Stefka Petrova, Noppawan Piaseu, Leanne M Riley, Rusidah BT Selamat, Chansimaly Simmala, Laufey Steingrimsdottir, Gillian Swan, Lucjan Szponar, Heli Tapanainen, Robert Templeton, Anastasia Thanopoulou, Holmfridur Thorgeirsdóttir, Inga Thorsdottir, Aida Turrini, Nowak Verena, Anna Waskiewicz, Gábor Zajkás, Shadi Kalantarian, Pattra Wirojratana, Mary Anne Land, Tricia McKeever, Mohannad Abed Alfattah Al Nsour, Medical Science, Heléne Enghardt Barbieri, Aida Filipovic Hadziomeragic, Nur Indrawaty Lipoeto, Stephen T. McGarvey, Abdulrahman Obaid. Musaiger, Luz Gladys. Posada, Elz˙bieta Halina. Sygnowska

“…Objectives To estimate global, regional (21 regions) and national (187 countries) sodium intakes in adults in 1990 and 2010.Design Bayesian hierarchical modelling using all identifiable primary sources.Data sources and eligibility We searched and obtained published and unpublished data from 142 surveys of 24 h urinary sodium and 103 of dietary sodium conducted between 1980 and 2010 across 66 countries. …”
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Global, regional, and national trends in drug use disorder mortality rates across 73 countries from 1990 to 2021, with projections up to 2040: a global time-series analysis and mod... by Soeun Kim, Hayeon Lee, Selin Woo, Hyeri Lee, Jaeyu Park, Tae Kim, Guillaume Fond, Laurent Boyer, Masoud Rahmati, Lee Smith, Guillermo F. López Sánchez, Elena Dragioti, Christa J. Nehs, Jinseok Lee, Hyeon Jin Kim, Jiseung Kang, Dong Keon Yon

“…Global trend analysis was analysed using a locally weighted scatter plot smoother (LOESS) curve, and future projections were calculated based on a Bayesian age-period-cohort analysis. In addition, we performed a decomposition analysis to identify the variations in DUD deaths, specifically examining factors such as population growth, ageing, and epidemiological changes. …”
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Phylogenetic inferences reveal multiple intra- and interhost genetic diversity among bat rabies viruses circulating in northeastern Brazil by Larissa Leão F. de Sousa, Mariana Dias Guilardi, Junior Olimpio Martins, Bruna Stefanie S. Alves, Luiz Henrique S. Tibo, Patrícia da Silva-Antunes, Gustavo Cabral-Miranda, Débora Bellini Caldeira, Paulo Eduardo Brandão, Fabrício Souza Campos, Luiz Mário R. Janini, Ricardo Durães-Carvalho

“…Rabies-positive samples were further explored through Bayesian, genetic distance mapping and recombination analyses. …”
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Leave no child behind: Using data from 1.7 million children from 67 developing countries to measure inequality within and between groups of births and to identify left behind popul... by Antonio P Ramos, Martin J Flores, Robert E Weiss

“…We estimate mortality risk for each child in the data using a Bayesian hierarchical logistic regression model. We include commonly used risk factors for monitoring inequality in early life mortality for the SDG as well as their interactions. …”
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Efficacy and Safety of Dual Antiplatelet Therapy in Patients Undergoing Coronary Stent Implantation: A Systematic Review and Network Meta-Analysis by Yi Xu, Yimin Shen, Delong Chen, Pengfei Zhao, Jun Jiang

“…Primary endpoints were all-cause mortality, cardiac death, myocardial infarction (MI), major bleeding, any bleeding, definite or probable stent thrombosis (ST), and net adverse clinical events (NACE). This Bayesian network meta-analysis was performed with the random-effects model. …”
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Comparison of Robot-Assisted, Laparoscopic, and Open Radical Prostatectomy Outcomes: A Systematic Review and Network Meta-Analysis from KSER Update Series by Do Kyung Kim, Young Joon Moon, Doo Yong Chung, Hae Do Jung, Seung Hyun Jeon, Seok Ho Kang, Sunghyun Paick, Joo Yong Lee

“…Only studies of patients with prostate cancer that assessed perioperative, functional, and oncological outcomes and reported outcome values were included. We used a Bayesian hierarchical random-effects model to synthesize data from multiple studies, enabling both direct and indirect comparisons of the three surgical approaches (RARP, LRP, ORP) to provide robust estimates of their relative efficacy. …”
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Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined? by N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, F. Mortier, M. Planells-Rodriguez, P. Ciais

“…This article seeks to endorse the latter by utilizing the Bayesian model averaging approach to diagnose and interpret the differences between predictions from different models. …”
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A multidimensional assessment of adverse events associated with paliperidone palmitate: a real-world pharmacovigilance study using the FAERS and JADER databases by Siyu Lou, Zhiwei Cui, Yingyong Ou, Junyou Chen, Linmei Zhou, Ruizhen Zhao, Chengyu Zhu, Li Wang, Zhu Wu, Fan Zou

“…Utilizing disproportionality analyses such as the reporting odds ratios (ROR), proportional reporting ratios (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item Poisson shrinkage (MGPS), significant associations between ADEs and paliperidone palmitate were evaluated. …”
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Relationship between prenatal mixed heavy metal/metalloid exposure and offspring cognitive and temperament development by XU Zujing, JIANG Yining, XU Jian

“…Demographic and clinical information of mothers and children was collected via questionnaires and hospital medical records. Bayesian kernel machine regression (BKMR) models were employed to assess the effects of prenatal mixed heavy metal/metalloid exposure on toddlers' cognitive and temperament development.Results·A total of 139 mother-child pairs with complete data were included in the study. …”
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Nowcasting to Monitor Real-Time Mpox Trends During the 2022 Outbreak in New York City: Evaluation Using Reportable Disease Data Stratified by Race or Ethnicity by Rebecca Rohrer, Allegra Wilson, Jennifer Baumgartner, Nicole Burton, Ray R Ortiz, Alan Dorsinville, Lucretia E Jones, Sharon K Greene

“…During the 2022 mpox outbreak in New York City, we applied Nowcasting by Bayesian Smoothing (NobBS) to estimate recent cases, citywide and stratified by race or ethnicity (Black or African American, Hispanic or Latino, and White). …”
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Different surgical methods of hysterectomy for the management of endometrial cancer: a systematic review and network meta-analysis by Yuquan Yuan, Yuquan Yuan, Qin Tan, Yingfan Chen, Keyang Zhu, Bin Pan, Bao Liu, Bao Liu, Chunyan Ren, Chunyan Ren, Ganghui Li, Ganghui Li, Cheng Chen, Chengzhi Zhao, Chengzhi Zhao

“…These were pooled in Bayesian network meta-analysis models. The surface under the cumulative ranking curve (SUCRA) was used to illuminate the probability that each method would be the best for each outcome.ResultsThirty studies comprising 13446 patients were included. …”
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Longitudinal associations between air pollution and incident dementia as mediated by MRI-measured brain volumes in the UK Biobank by Rhiannon Thompson, Xinning Tong, Xueyi Shen, Jinjun Ran, Shengzhi Sun, Xiaoxin Iris Yao, Chen Shen

“…Mediation of exposure-outcome associations by plausible brain volumes (those associated with both environmental exposure and dementia outcomes) were modelled using the quasi-Bayesian Monte Carlo method (N = 34,817–39,772). Results: Small but significant mediating effects (2%-8% of relationships mediated) were observed between PM2.5abs exposure and dementia risk by reduced total brain volume, NOx and Alzheimer’s disease risk by reduced peripheral cortical grey matter, PM2.5abs and vascular dementia risk by reduced peripheral cortical grey matter, PM2.5abs and other dementia risk by reduced total grey matter, and PM10 and other dementia risk by reduced total grey matter. …”
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A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning by Hao Chen, Ni Yang, Xuanhua Song, Chunhua Lu, Menglan Lu, Tan Chen, Shulin Deng

“…Here, we used solar-induced chlorophyll fluorescence, water balance, soil moisture, and land surface temperature to develop a new integrated remote sensing drought index, namely interpretable machine learning drought index (IMLDI), based on the Bayesian optimized tree-based Light Gradient Boosting Machine and SHapley Additive exPlainations. …”
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High-time-cadence Spectroscopy and Photometry of Stellar Flares on M dwarf YZ Canis Minoris with the Seimei Telescope and TESS. I. Discovery of Rapid and Short-duration Prominence... by Yuto Kajikiya, Kosuke Namekata, Yuta Notsu, Hiroyuki Maehara, Bunei Sato, Daisaku Nogami

“…Among them, we identified three blue asymmetry and five red asymmetry events based on criteria using the Bayesian information criterion. The maximum velocity of the blueshifted and redshifted components ranges from 200 to 450 km s ^−1 and 190 to 400 km s ^−1 , respectively. …”
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Prevalence and determinants of HIV among reproductive-age women (15–49 years) in Africa from 2010 to 2019: a multilevel analysis of demographic and health survey data by Alemu Gedefie, Amare Muche, Anissa Mohammed, Aznamariam Ayres, Dagnachew Melak, Eyob Tilahun Abeje, Fekade Demeke Bayou, Fekadeselassie Belege Getaneh, Lakew Asmare, Abel Endawkie

“…The model fit was assessed using Akaike’s Information Criterion, Bayesian Information Criterion, and − 2 Log likelihood. …”
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Negative frequency-dependent selection through variations in seedling fitness due to genetic differentiation of parents’ pair in a tropical rainforest tree, Rubroshorea curtisii (D... by Naoki Tani, Naoki Tani, Chin Hong Ng, Soon Leong Lee, Chai Ting Lee, Norwati Muhammad, Toshiaki Kondo, Yoshihiko Tsumura, Saori Sugiyama, Kaoru Niiyama, Azizi Ripin, Abdul Rahman Kassim, Samsudin Musa

“…Seed weight, bi-parental genetic relatedness, and bi-parental genetic heterogeneity based on the clustering analysis were used to analyze their effects on seedling fitness.ResultsA Bayesian based clustering analysis revealed that three genetically distinct clusters were observed in almost all populations throughout the distributional range of the species in Malay Peninsula and provided the optimum explanation for the genetic structure of 182 mature individuals in the plots. …”
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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach by Aljubran HJ, Aljubran MJ, AlAwami AM, Aljubran MJ, Alkhalifah MA, Alkhalifah MM, Alkhalifah AS, Alabdullah TS

“…Using the emergency severity index (a scale of 1 to 5), various machine learning techniques were employed to build different machine learning models, such as regression, instance-based, regularization, tree-based, Bayesian, dimensionality reduction, and ensemble algorithms. …”
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Safety profiles of IDH inhibitors: a pharmacovigilance analysis of the FDA Adverse Event Reporting System (FAERS) database by Ximu Sun, Han Zhou, Yanming Li, Yanhui Luo, Qixiang Guo, Yixin Sun, Chenguang Jia, Bin Wang, Maoquan Qin, Peng Guo

“…Disproportionality analyses including the reporting odds ratio and the Bayesian confidence propagation neural network were performed in data mining to assess IDH inhibitor-relatedAEs. …”
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