Body weight overestimation increases the risk of incident overweight among adolescents: Findings from a cohort study in Vietnam by Xuan Minh Tri Tran, Hoang Thuy Linh Nguyen, Thao Vi Tran, Sharifullah Alemi, Kaoruko Seino, Thang Van Vo, Keiko Nakamura

“…Based on the concordance between self-perceived and objectively measured body weight status, participants were categorized into three groups: underestimation, accurate perception, or overestimation. …”
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Prognostic Utility of the Modified Systemic Inflammation Score for Patients Undergoing Oral Cavity Cancer Surgery by Ku-Hao Fang, Sheng-Wei Lo, Adarsh Kudva, Andrea De Vito, Yuan-Hsiung Tsai, Cheng-Ming Hsu, Geng-He Chang, Ethan I. Huang, Ming-Shao Tsai, Chia-Hsuan Lai, Ming-Hsien Tsai, Chun-Ta Liao, Chung-Jan Kang, Yao-Te Tsai

“…Methods: We retrospectively reviewed data from 320 OCSCC patients who underwent curative surgery between 2007 and 2017. …”
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Discovery of two new Cortinarius species in Southern China by Yuxiao Dang, Mengjia Zhu, Nemat O. Keyhani, Ziyi Wu, Chenghao Qiu, Jinming Xiong, Huili Pu, Longbing Lin, Chengjie Xiong, Zhiying Zhao, Minghai Zheng, Taichang Mu, Yongsheng Lin, Yanbin Huang, Xin Yuan, Chunjin Qiu, Xiaohong Ji, Junzhi Qiu, Yuxi Chen

“…The developed keys provide a reference for the further analysis of the evolution and geographic distribution of these fungi.…”
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White-Matter Connectivity and General Movements in Infants with Perinatal Brain Injury by Ellen N. Sutter, Jose Guerrero-Gonzalez, Cameron P. Casey, Douglas C. Dean, Andrea de Abreu e Gouvea, Colleen Peyton, Ryan M. McAdams, Bernadette T. Gillick

“…Methods: Diffusion-weighted MRI data were analyzed in 17 infants, 12 with perinatal brain injury and 5 typically developing infants. …”
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Can Self-Reported Symptoms Be Relied on for COVID-19 Screening in Low-Resource Settings? by Suraj Singh Senjam, Garima Goel, Neiwete Lomi, Yatan Pal Singh Balhara, Yashdeep Gupta, Animesh Ray

“…Methods: A community-based cross-section study was conducted in a rural district of Haryana, a state in north India, using a self-reported semi-structured questionnaire developed on a digital platform. Information on COVID-19 manifestations as essential and non-essential, confirmed laboratory tests, and disability data using Washington Groups of Short Set were obtained. …”
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Establishment of a two-dimensional PCR method for simultaneous detection of nine sexually transmitted disease pathogens: insights into coinfection rates and epidemiological trends... by Shuang Yao, Jun Zhang, Lili Pan, Yang Yu, Guanghua Luo

“…HPV 52 was the predominant genotype in STDP-infected individuals (6.2%), with genotypes 52, 53, 6, 11, 42, 43, and 61 significantly more prevalent in STDP-positive groups. The 2D-PCR method proved sensitive and specific for multiplex STDPs detection, while epidemiological data highlighted significant STDP-HPV correlations.IMPORTANCEThis study introduces the first single-tube 2D-PCR method for efficient, high-throughput detection of nine STDPs, addressing a critical gap in co-infection diagnostics. …”
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Open-Source High-Throughput Phenotyping for Blueberry Yield and Maturity Prediction Across Environments: Neural Network Model and Labeled Dataset for Breeders by Jing Zhang, Jerome Maleski, Hudson Ashrafi, Jessica A. Spencer, Ye Chu

“…The model applied to 91 blueberry advance selections and categorized them into groups with diverse levels of maturity and productivity using principal component analysis (PCA). …”
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

“…At the disease-free equilibrium (DFE), we perform a local asymptotic stability analysis (LAS) and display the outcome for $$\mathbb {R}_{0}<1$$ . …”
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Trends and inequalities in full immunisation coverage among one-year-olds in Sierra Leone, 2008–2019 by Augustus Osborne, Camilla Bangura, Umaru Sesay, Bright Opoku Ahinkorah

“…Ensuring vaccine availability, trained personnel, and data collection for monitoring could be useful. There is also the need to develop targeted interventions for regions with lower coverage. …”
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Extubation timing and risk of extubation failure in aneurysmal subarachnoid hemorrhage patients by Jun Yang, Junlin Lu, Runting Li, Fa Lin, Yu Chen, Heze Han, Ruinan Li, Zhipeng Li, Haibin Zhang, Kexin Yuan, Hongliang Li, Linlin Zhang, Guangzhi Shi, Shuo Wang, Xiaolin Chen

“…Conclusions These data provide further evidence that older aSAH patients with onset to admission time < 2 days and WFNS grade > 3 have a high risk of developing EF, which is amplified by the ultra-early extubation. …”
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Postoperative complications following salvage neck dissection after (chemo)radiotherapy for head and neck squamous cell carcinoma: which patients are at high risk? by Arash Navran, Zeno A. R. Gouw, Willem M. Klop, Willem H. Schreuder, Maarten L. Donswijk, Emilia Owers, Jan Paul de Boer, Laura Smit, Luc Karssemakers, Michiel van den Brekel, Abrahim Al-Mamgani

“…However, the available literature could not identify potential groups at higher risk of post-operative complications because of the missing demographic information and the heterogeneity in studies and outcome data. …”
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Multimodal prediction of tyrosine kinase inhibitors therapy outcomes in advanced EGFR-mutated NSCLC patients by Xiaodong Chai, Hongxia Li, Moxuan Yang, Junyang Zeng, Genxiu Chen, Yongmeng Li, Wei Wang, Zichen Liu, Kun Li, Tongmei Zhang, Shuhao Wang, Nanying Che

“…For the prediction of treatment response (TR) and progression-free survival (PFS) time, both unimodal and multimodal models were developed. Unimodal models were based on whole-slide images (WSIs) or clinical variables alone, while multimodal models integrated both data types. …”
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A Multicomponent Strategy to Improve HIV Pre-Exposure Prophylaxis in a Southern US Jail: Protocol for a Type 3 Hybrid Implementation-Effectiveness Trial by Ank E Nijhawan, Jana Kholy, Julia L Marcus, Timothy P Hogan, Robin T Higashi, Jacqueline Naeem, Laura Hansen, Brynn Torres, Barry-Lewis Harris, Song Zhang, Douglas Krakower

“…An HIV risk prediction model based on EHR data to identify individuals most likely to benefit from PrEP has been developed and internally validated and is ready to be deployed. …”
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Construction of an anaplastic thyroid cancer stratification signature to guide immune therapy selection and validation of the pivotal gene HLF through in vitro experiments by Li Pengping, Yin Kexin, Xie Yuwei, Sun Ke, Li Rongguo, Wang Zhenyu, Jin Haigang, Wang Shaowen, Huang Yuqing

“…Our study aims to identify ATC patients who might bene t from immunotherapy.MethodsOur study uses multiple algorithms by R4.2.0, and gene expression and clinical data are collected from TCGA, GEO and local cohort. …”
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Clinical-radiomics hybrid modeling outperforms conventional models: machine learning enhances stratification of adverse prognostic features in prostate cancer by Minghan Jiang, Minghan Jiang, Zeyang Miao, Run Xu, Mengyao Guo, Xuefeng Li, Guanwu Li, Peng Luo, Su Hu, Su Hu

“…ObjectiveThis study aimed to develop MRI-based radiomics machine learning models for predicting adverse pathological prognostic features in prostate cancer and to explore the feasibility of integrating radiomics with clinical characteristics to improve preoperative risk stratification, addressing the limitations of conventional clinical models.MethodsA retrospective cohort of 137 prostate cancer patients between January 2021 and April 2023 with preoperative MRI and postoperative pathology data was divided into adverse-feature-positive (n=85) and negative (n=52) groups. …”
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Comparative child mental health and academic outcomes after primary school teachers deliver task-shifted mental health care in India by Priscilla Giri, Molly M. Lamb, Venessa C. Fuentes, Arpana Thapa, Surekha Bhattarai, Choden Dukpa, Catherine C. Shrestha, Setareh Ekhteraei, Juliana L. Vanderburg, Breanna Windsor, Abhishek K. Rauniyar, Karen Hampanda, Bradley N. Gaynes, Rinzi Lama, Michael Matergia, Christina M. Cruz

“…We conducted a pragmatic, mixed methods, post hoc analysis using data from 2019 of an open trial of Tealeaf running in parallel with the all-EUC first step of a stepped wedge cluster randomized controlled trial (SW-CRCT). …”
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Nomogram for predicting the severity of high-risk plaques in acute coronary syndrome by Miao-Na Bai, Miao-Na Bai, Miao-Na Bai, Ji-Xiang Wang, Ji-Xiang Wang, Xiao-Wei Li, Xiao-Wei Li, Xiao-Wei Li, Jing-Xian Wang, Jing-Xian Wang, Yu-Hang Wang, Yu-Hang Wang, Yin Liu, Yin Liu, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

“…The calibration curve and decision curve analysis demonstrated the model's clinical usefulness.ConclusionA simple and practical nomogram for predicting HRPs accurately in patients with ACS was developed and validated, and is expected to help clinicians diagnose and prevent plaque stability.…”
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Prevalence of falls and associations with family functioning among community-dwelling older adults in Guangzhou, China by Si-Yu Sun, Zhi-Wei Wang, Zhi-Li Peng, Le-Xin Yuan, Wen-Hao Yang, Wen-Jian Zhang, Jia-Min Chen, Wei-Quan Lin, Wei Zhu, Wei Zhu

“…It is recommended to develop and implement comprehensive intervention measures for high-risk groups, including those who are females, older adults, and suffer from chronic diseases while paying special attention to the care of family members for older adults.…”
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Predictive factors of diabetic ketoacidosis in patients with newly onset type 1 diabetes: A single center study by Siham Benouda, Imane Ziani, Imane Assarrar, Siham Rouf, Hanane Latrech

“…Medical records provided data for analysis with SPSS v21, employing Chi-square and Student's t-tests, followed by logistic regression to identify predictors of diabetic ketoacidosis. …”
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Evaluation of the Effects of Postsleeve Gastrectomy Exercise on Long‐Term Glucose Profile and Weight Loss Among Iranian Females: A Prospective Cohort Study From 2016 to 2020 by Mohammad Tayefeh Norooz, Seyed Amir Ahmad Safavi‐Naini, Parnian Jamshidi, Alireza Sadeghi, Mastaneh Rajabian Tabesh, Maryam Abolhasani, Maryam Abbasi, Nasser Malekpour Alamdari, Nathan A. Berger

“…Participants were divided into two groups: the control cohort (low activity) and the exposure cohort (adequate activity). …”
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