Clinical and molecular characterization of hepatic glycogen storage disease in Saudi Arabia. by Abdulrahman Al-Hussaini, Mohammed AlMannai, Muhannad Alruwaithi, Eissa Faqeih, Ali Alasmari, Majid Alfadhel, Fuad Al Mutairi, Mohammed Saleh, Abdullah AlZaben, Yaser Alobailan, Moodhi Alharbi, Manal AlAfqi, Alaa Alayed, Abdul Ali Peer-Zada, Yasir Alrusayni

“…One patient with GSD type 1b developed hepatic adenoma at the age of 17 years. A patient with GSD IXc developed portal hypertension at the age of 5 years, and one patient with GSD IXa developed cirrhosis. …”
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Reporting guideline for chatbot health advice studies: the Chatbot Assessment Reporting Tool (CHART) statement by Elizabeth Loder, Xi Chen, Gordon Guyatt, Per Olav Vandvik, Thomas Agoritsas, Riaz Agha, Xiaoxuan Liu, Yung Lee, Alfonso Iorio, Monica Ortenzi, Michael Mittelman, Joerg Meerpohl, Gary Collins, Michael Berkwits, Annette Flanagin, Nan Liu, Cynthia Lokker, Nipun Verma, Ashirbani Saha, Julio Mayol, Michael Anderson, Hugh Harvey, Eliseo Guallar, Stavros A Antoniou, Melissa McCradden, Piyush Mathur, Xiaomei Yao, Carolyn Canfield, Christine Laine, Stacy Loeb, Timothy Feeney, Gregor Štiglic, Tyler McKechnie, Bright Huo, David Chartash, Jeremy Y Ng, Diana Samuel, Helen Frankish, Karim Ramji, Vanessa Boudreau, Giovanni Cacciamani, Daniela Pacella, Jennifer C Camaradou, Anthony Sunjaya, Arun Thirunavukarasu, An Wen Chan

“…These include title (subitem 1a), abstract/summary (subitem 1b), background (subitems 2a,b), model identifiers (subitems 3a,b), model details (subitems 4a-c), prompt engineering (subitems 5a,b), query strategy (subitems 6a-d), performance evaluation (subitems 7a,b), sample size (subitem 8), data analysis (subitem 9a), results (subitems 10a-c), discussion (subitems 11a-c), disclosures (subitem 12a), funding (subitem 12b), ethics (subitem 12c), protocol (subitem 12d), and data availability (subitem 12e). …”
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Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models by Chuanbin Chen, Qingmin Chen, Shenghai Liu, Guoxi Li, Jiawei Zhao, Jingting Huang, Tianyi Ye, Xinting Yang, Zigui Huang, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Weizhong Tang, Jungang Liu, Xiaoliang Huang

“…Finally, we successfully developed a predictive model to predict PNI in CRC patients through leveraging microbial biomarkers. …”
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The influence of entrepreneurial role model on entrepreneurial intention: a cross-level investigation by Mu Xuan, Liu Yankai

“…In this study, hierarchical linear modeling (HLM) was used as the method and HLM 6.08 was adopted for data analysis. According to the purpose of the study, the following four different models will be tested in turn using the HLM, which include the null model, random coefficients regression model, intercepts as outcomes model and slopes as outcomes model. …”
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Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information by E. Vahedi Tekmehdash, H. Navid, H. Ghasemzadeh, H. Karimi, M. Javani Holan

“…The sensor was installed in three different positions on the cow's body to collect data. Important factors were calculated from the raw data, and the modeling was done using the logistic regression method. …”
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Global, regional, and national lifetime probabilities of urinary tract infections and interstitial nephritis from 1990 to 2021 by Lingfeng Li, Yuhao Li, Yongming Chen, Huiming Hou, Jianye Wang, Ming Liu, Xin Wang, Shengfeng Wang

“…This study aims to quantify the lifetime risk of developing and dying from UTI and IN across 204 countries from 1990 to 2021, utilizing data from the Global Burden of Disease 2021. …”
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Machine learning based characterization of high risk carriers of HTLV-1-associated myelopathy (HAM) by Md Ishtiak Rashid, Junya Sunagawa, Akari Matsuki, Asami Yamada, Toshiki Watanabe, Masako Iwanaga, Ki-Ryang Koh, Takafumi Shichijo, Masao Matsuoka, Jun-ichirou Yasunaga, Shinji Nakaoka

“…We further developed and validated classifier models capable of distinguishing three clinical subgroups, carrier, ATL, and HAM for assessing the anomaly carrier samples as unseen test data. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…Abstract High-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders’ evaluation, despite being limited by its accessibility and complex data analysis. The London Protocol and Classification were developed to standardize anorectal motility patterns classification. …”
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Mapping outcomes for recovery of consciousness in studies from 1986 to 2020: a scoping review protocol by Monica Steiner, Elizabeth Burns, Trudy Mallinson, Joshua Rosenow, Jennifer Weaver, Alison Cogan, Parie Bhandari, Erica Jacobs, Ariana Pape, Chantal Nguyen, Ann Guernon, Tom Harrod, Theresa Bender Pape, Marilyn Pacheco, Catherine Burress Kestner, Kelsey Watters, Elizabeth Yost, Henk Eilander, Berno Overbeek, Sophie Leeds, Kelly Krese, Haylee Winden, Mary Philbin, Stefani Cleaver, Vanessa Silva, Konner Nelson, André Lindsey, Angela Hartman, Kristen Maisano, Erika Cooley, Jessica Rudin Portnoff, Bailey Widener, Sarah Hollingsworth, Coty Wardwell, Julianne Angel, Ladan Hakima, Jennifer Nebel, Bint-e Zainab Awan

“…The objective of this scoping review is to develop a comprehensive inventory of clinical outcome assessments for recovery of consciousness that have been used in clinical studies of adults with DoC following TBI.Methods and analysis The methodological framework for this review is: (1) identify the research questions, (2) identify relevant studies, (3) select studies, (4) chart the data, (5) collate, summarise and report results and (6) consult stakeholders to drive knowledge translation. …”
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PyEMILI: A New Generation Computer-aided Spectral Line Identifier by Zhijun Tu, Xuan Fang, Robert Williams, Jifeng Liu

“…As a key step of spectral analysis, identification of emission lines hitherto has mostly been done manually, which is a tedious task, given that each line needs to be carefully checked against huge volumes of atomic transition/spectroscopic data to reach a reliable assignment of identity. …”
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Pancreatic quantitative sensory testing to predict treatment response of endoscopic therapy or surgery for painful chronic pancreatitis with pancreatic duct obstruction: study prot... by Adam Slivka, Rohit Das, Asbjørn Mohr Drewes, Søren Schou Olesen, Mouen A Khashab, Vikesh K Singh, Dhiraj Yadav, Mahya Faghih, Anna Evans Phillips, Elham Afghani, Venkata Sandeep Akshintala, Panayiotis Y Benos, Jeffrey Easler, Charles Gabbert, Vivek Halappa, Jami L Saloman, Biatta Sholosh, Tianxiu Wang

“…This trial was approved by the University of Pittsburgh Institutional Review Board. Data and results will be reported and disseminated in conjunction with National Institutes of Health policies.Trial registration number NCT04996628.…”
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Protocol of the Tailored Evidence-based Enhancements in Mental Health-Gamified and Individualized Follow-Up Treatment for Suicide (TEEM-GIFTS): a Multiphase Optimization Strategy (... by Bo Peng, Jinghua Li, Fengsu Hou, Huiming Liu, Guanjie Chen, Yuanhan Bai, Yingli Zhang, Donghui Wu, Tiantian Fu, LuYao Hu

“…Built on our previous research, this study will develop, optimise and evaluate a gamified intervention under the Multi-phase Optimization Strategy (MOST) framework in implementation science.Methods and analysis This study will be conducted at the Shenzhen Kangning Hospital. …”
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Outcomes of Patients with Malignancy Admitted to the Intensive Care Units: A Prospective Study by Hazem I. Assi, Nour Abdul Halim, Ibrahim Alameh, Jessica Khoury, Vicky Nahra, Fares Sukhon, Maya Charafeddine, Clara El Nakib, Nour Moukalled, Maroun Bou Zerdan, Pierre Bou Khalil

“…Demographic, clinical, and laboratory data were prospectively collected from the first day of ICU admission up to 30 days after discharge. …”
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Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Bladder cancer (BC) is the most common urinary malignancy; however accurate diagnosis and prediction of recurrence after therapies remain elusive. This study aimed to develop a biosignature of immunotherapy-based responses using gene expression data. …”
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Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET by T. Elise Potthoff, Carolin Walter, Daniela Jeising, Daniel Münter, Archana Verma, Eric Suero Molina, Walter Stummer, Martin Dugas, Wolfgang Hartmann, Matthias Dottermusch, Lea Altendorf, Ulrich Schüller, Sophia Scheuermann, Christian Seitz, Thomas K. Albert, Kornelius Kerl

“…Methods We performed differential expression analysis as well as gene expression program identification based on single-cell RNA sequencing to comparatively characterize the transcriptome of seven gonadotroph and three lactotroph PitNET and correlate it with clinical features using bulk RNA-seq data from an independent cohort of 134 PitNET. …”
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Spatial immunogenomic patterns associated with lymph node metastasis in lung adenocarcinoma by Fanjie Meng, Hao Li, Ruoyi Jin, Airong Yang, Hao Luo, Xiao Li, Peiyu Wang, Yaxing Zhao, Olga Chervova, Kaicheng Tang, Sida Cheng, Bin Hu, Yun Li, Jianpeng Sheng, Fan Yang, David Carbone, Kezhong Chen, Jun Wang

“…Additionally, we used multiplex immunohistochemistry (mIHC) on a propensity score-matched cohort, which enabled us to profile the immune microenvironment of primary tumors in detail while preserving cellular metaclusters, interactions, and neighborhood functional units. By integrating data from NGS and mIHC, we successfully identified spatial immunogenomic patterns and developed a predictive model for LN metastasis, which was subsequently validated independently. …”
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The Construction Level of Health Literate Health Organizations and Its Impact on Patients’ Health Literacy: Based on Self-Determination Theory and Structural Equation Modeling by Renjie Lu PhD, Jing Zhou MD, Jiaying Ge BD, Xiyang Xia MD, Chao Lei MD, Shenyu Zhao BD, Dan Shen BD, Xiaoyu Wang MD, Jiaqian Chang BD, Yang Chen MD, Lingmin Hu PhD

“…Following quality control standards, the remaining sample of 5206 valid responses met the minimum recommended size for structural equation modeling. Data analysis was performed using SPSS and AMOS software. …”
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Investigating Factors Affecting Social Indifference among Female Teachers and Strategies for Mitigation by Azam Khatibi, Masoome Zand

“…A simple random sampling technique was used to select participants with the data collected through a researcher-developed questionnaire. …”
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Modern tactics of observation the postpartum purulent-septic complications by O. M. Slinko, M. I. Pavliuchenko, I. P. Mikhisor, V. I. Shalimov, O. A. Sapronov

“…Upon receipt of objective data for developing postpartum purulent- septic complications of a woman in labor is subject to immediate transfer to specialized hospitals of the 3rd levels of care. …”
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Cost-effectiveness of atezolizumab versus chemotherapy in patients with non-small-cell lung cancer ineligible for platinum-based doublet chemotherapy by Qiuji Wu, Yi Qin, Qiu Li

“…This study aims to evaluate the cost-effectiveness of atezolizumab for the treatment of NSCLC from the perspective of payers in both developed and developing countries.Materials and methodsA Markov model was developed to simulate treatment scenarios involving atezolizumab or chemotherapy for patients diagnosed with NSCLC. …”
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