Trends in the global, regional, and national burden of cardiovascular diseases attributed to high systolic blood pressure from 1990 to 2021 and projections to 2045: a systematic an... by Tenglong Hu, Xinyue Yang, Yanyan Du, Yangyu Zhao, Lei Chen, Na Sun, Qiang Sun, Wenyan Liang, Xiqing Wei, Zhiqiang Zhang

“…Abstract Background Cardiovascular disease (CVD) remains the leading cause of death and disability worldwide, and high systolic blood pressure (HSBP) is considered among its most critical modifiable risk factors. This study analyzed the temporal trends of the global burden of CVD attributed to HSBP from 1990 to 2021, examined its relationships with age, period, and birth cohort, and projected future trends to 2045. …”
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Clinical and survival differences between second primary and first primary nasopharyngeal carcinoma in a retrospective study by Xin Huang, Ying Kong, Tianyu Wu, Zhen Meng, Min Kang

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Predictors of Recurrence After Curative Surgery for Stage I Colon Cancer: Retrospective Cohort Analysis of the Italian Society of Surgical Oncology Colorectal Cancer Network Collab... by Giulia Turri, MD, Luigi Martinelli, MD, Daniela Rega, MD, Nicolò Tamini, MD, Lucia Paiano, MD, Simona Deidda, MD, QuocRiccardo Bao, MD, Laura Lorenzon, MD, PhD, Raffaele De Luca, MD, Caterina Foppa, MD, PhD, Valentina Mari, MD, Giovanni Taffurelli, MD, Arcangelo Picciariello, MD, PhD, Patrizia Marsanic, MD, Leandro Siragusa, MD, Francesco Bagolini, MD, Riccardo Nascimbeni, MD, Gianluca Rizzo, MD, PhD, Sara Vertaldi, MD, Michele Zuolo, MD, Giorgio Bianchi, MD, Lisa Marie Rorato, MD, Rossella Reddavid, MD, PhD, Gaetano Gallo, MD, PhD, Lorenzo Crepaz, MD, Alberto Di Leo, MD, Mario Trompetto, MD, Enrico Potenza, MD, Mauro Santarelli, MD, Nicola de’Angelis, MD, PhD, Francesco Ciarleglio, MD, Marco Milone, MD, PhD, Claudio Coco, MD, Guido Alberto Tiberio, MD, Gabriele Anania, MD, Giuseppe S. Sica, MD, PhD, Andrea Muratore, MD, Donato Francesco Altomare, MD, Isacco Montroni, MD, PhD, Maurizio De Luca, MD, Antonino Spinelli, MD, PhD, Michele Simone, MD, Roberto Persiani, MD, Gaya Spolverato, MD, Angelo Restivo, MD, Nicolò de Manzini, MD, Marco Braga, MD, Paolo Delrio, MD, Giuseppe Verlato, MD, PhD, Corrado Pedrazzani, MD, Adriana Gioia, Cristina Vacca, Dario Parini, Giovanni Tomasicchio, Marcello Calabrò, Bruno Sensi, Filomena Misuriello, Carlo Alberto Schena, Silvia Picotto

“…Recurrences peaked between 10 and 18 months after surgery and declined over time. Adjusted Cox regression analysis identified tumor diameter, carcinoembryonic antigen level, lymphovascular invasion, male gender, and less than 12 analyzed lymph nodes as significant risk factors for worse recurrence-free survival. …”
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Associations of pretreatment emotional distress with adherence to therapy for patients with locally advanced rectal cancer: a post hoc analysis of the Chinese FOWARC phase 3 random... by Lishuo Shi, Jianwei Zhang, Yanhong Deng

“…Multivariable analyses showed that each 1-point increase in PED score raised non-adherence risk by 4.37 times (OR: 4.37, 95% CI: 1.92–9.96, P < 0.001). The SEM analysis revealed that PED score was positively correlated with the risk of non-adherence (standardized regression coefficients [β] = 0.25, 95% CI: 0.11 to 0.28), while economic burden was positively correlated with PED (β = 0.17, 95% CI: 0.11 to 0.28), and could indirectly affect adherence through PED (β = 0.04, 95% CI: 0.01 to 0.09). …”
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Effect of TyG combined with obesity indicators on prevalence of hypertension and hyperuricemia comorbidity among residents aged 35 years and older in Hebei province: a surveillance... by Lijuan TANG, Yajing CAO, Jinchai GAO, Fujuan YUE, Yifu GAO, Fan ZHANG, Weiwei SHI, Dongsheng JIANG

“…A multivariable logistic regression model was used to analyze the relationship between the TyG, overweight/obesity, central obesity, and waist-to-height ratio (WHtR) with the prevalence of comorbid hypertension and hyperuricemia. …”
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Global, regional, and national trends in tobacco-induced cardiovascular disease burden for 1990–2021 with projections to 2045: A comprehensive analysis based on the Global Burden o... by Xiaoqiang Zhu, Lei Chen, Xinyue Yang, Yanyan Du, Yangyu Zhao, Tenglong Hu, Na Sun, Qiang Sun, Wenyan Liang, Xiqing Wei, Zhiqiang Zhang

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Higher red cell distribution width (RDW) is associated with increased all-cause and cardiovascular mortality in patients with breast cancer: A retrospective analysis of NHANES data... by Xuan Liu, Hao Wu, Saiqian Zhang, Zhu Zhu, Chao Liu, Jinmin Cao

“…<h4>Methods</h4>A retrospective cohort study was performed using data from 15,806 participants in the NHANES dataset. Multivariable Cox regression models were used to analyze demographic, socioeconomic, clinical, and laboratory factors, with adjustments for potential confounders. …”
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Smart Coffee: Machine Learning Techniques for Estimating Arabica Coffee Yield by Cleverson Henrique de Freitas, Rubens Duarte Coelho, Jéfferson de Oliveira Costa, Paulo Cesar Sentelhas

“…The Factor Analysis of Mixed Data (FAMD) was employed to explore the relationships between climatic factors, management practices, and the coffee yield. …”
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Extreme flood and WNV transmission in Thessaly, Greece, 2023 by Spiros Mourelatos, Elissavet Charizani, Stella Kalaitzopoulou, Xanthi Tseni, Nikolaos Lazos, Katerina Tsioka, Anna Papa, Stella Dafka, Joacim Rocklöv, Sandra Gewehr

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Exploring latent classes of complete blood count profiles and their association with smoking status in the Bandar Kong cohort study by Ali Mouseli, Pejman Shahrokhi, Mehdi Sharafi, Zahra Mastaneh, Abdollah Gharibzadeh, Leila Jamali, Arash Shekari

“…Abstract Smoking is a significant modifiable risk factor influencing various health outcomes, including hematologic indices. …”
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Epidemiological and clinical analysis, and outcomes of tuberculosis co-infection among people living with HIV in Türkiye (2014-2024) ClinSurv HIV cohort: A large case series. by Ali Mert, Okan Derin, Esra Zerdali, Abdurrahman Kaya, Özlem Gül, Deniz Borcak, Ahmet Furkan Kurt, Meliha Meriç Koç, Bircan Kayaaslan, Ayşe Batırel, Alper Gündüz, İnci Yılmaz Nakir, Gülşen Yörük, Dilek Yıldız Sevgi, Hayat Kumbasar Karaosmanoğlu, Bilgül Mete, Melike Nur Özçelik, Nagehan D Sarı, Yasemin Akkoyunlu, Fehmi Tabak

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The negative linear relationship between oxidative balance scores and constipation: a cross-sectional study from NHANES 2005–2010 by Liqian Xuan, Yang Chen, Chang Liu, Yahui Dai

“…The relationship between OBS and constipation was analyzed by logistic regression, restricted cubic spline. …”
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Prognostic correlation analysis of colorectal cancer patients based on monocyte to lymphocyte ratio and folate receptor-positive circulating tumor cells and construction of a machi... by Siying Pan, Chi Lu, Chi Lu, Hongda Lu, Hongda Lu, Hongfeng Zhang

“…Progression-Free Survival (PFS) and Overall Survival (OS) were analyzed using COX analysis and the Kaplan-Meier survival curve. …”
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Exploring genetic loci linked to COVID-19 severity and immune response through multi-trait GWAS analyses by Ziang Meng, Chumeng Zhang, Shuai Liu, Wen Li, Yue Wang, Qingyi Zhang, Bichen Peng, Weiyi Ye, Yue Jiang, Yingchao Song, Miao Guo, Xiao Chang, Lei Shao

“…This study aimed to explore the genetic connection between COVID-19 severity and blood cell traits, given their close relationship with immunity.Materials and methodsGWAS summary statistics for COVID-19 and blood cell counts were analyzed using Linkage Disequilibrium Score Regression (LDSC) to estimate genetic correlations and heritabilities. …”
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Prevalence and determinants of exposure to family planning messages among reproductive age women in five Sub-Saharan African countries: a multilevel analysis of 2021–2023 demograph... by Kidist Endalkachew Admasu, Tadesse Tarik Tamir, Mekdes Tigabu Alemu, Gebreeyesus Abera Zeleke, Alebachew Ferede Zegeye

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Evaluation of arterial blood gas analysis in diagnosis of neonatal hypoxic ischemic encephalopathy (动脉血气分析在诊断新生儿缺氧性脑病中的价值) by SHI Xiaoyan (史晓燕), LIU Yanlin (刘艳林)

“…The receiver operating curve (ROC) model was used to evaluate the pH and lactic acid level in diagnosis of HIE. The univariate analysis and multiple logistic regression analysis were used to analyze potential influencing factors of HIE. …”
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Identifying Significant Macroeconomic Indicators for Indian Stock Markets by Prakash K. Aithal, Acharya U. Dinesh, M. Geetha

“…In addition, the influence of these seven factors on the NSE Nifty and BSE SENSEX indices are analyzed using regression. …”
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Exploring the association between volatile organic compound exposure and chronic kidney disease: evidence from explainable machine learning methods by Liyan Jiang, Hongling Wang, Yang Xiao, Linlin Xu, Huoying Chen

“…This study explores the association between urinary VOC metabolites and CKD risk using a combination of epidemiological and interpretable machine learning approaches.Methods Data from the National Health and Nutrition Examination Survey (2011–March 2020 pre-pandemic) were analyzed to examine 15 urinary VOC metabolites. Analytical methods included multivariable logistic regression, LASSO regression, and five machine learning models: Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP). …”
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Individual and community level determinants of unmeet pregnancy complication education among pregnant ANC visitor women in Sub-Saharan Africa: a multilevel analysis of the recent d... by Alemneh Tadesse Kassie, Alebachew Ferede Zegeye, Enyew Getaneh Mekonen, Belayneh Shetie Workneh, Mulugeta Wassie, Tadesse Tarik Tamir, Berhan Tekeba, Almaz Tefera Gonete, Tewodros Getaneh Alemu, Masresha Asmare Techane, Mohammed Seid Ali

“…A multilevel mixed-effects logistic regression model was used to analyze hierarchical data structures, accounting for individual and contextual variables. …”
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A study on the application and effect of ERAS-based refined nursing in patients undergoing radical lung cancer surgery by Fang Qi, Bin Wang, Xiangnan Li, Yan Wang, Jing Zhang

“…Evaluate the independent impact of nursing methods on these indicators through multiple linear regression. The ROC curve is used to evaluate the performance of a multi factor linear regression model.ResultThe observation group showed significant improvement in clinical index, physiological index, and comprehensive health index compared to the control group. …”
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