PLCH1 overexpression promotes breast cancer progression and predicts poor prognosis through the ERK1/2-EGR1 axis by Jing Li, Fenge Jiang, Congcong Wang, Ping Sun, Lei Song, Jiannan Liu

“…Differential expression analysis was performed using boxplots and statistical tests to assess significance. …”
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Predictors of myocardial fibrosis and loss of epicardial adipose tissue volume in the long-term period after myocardial infarction by O. L. Barbarash, O. V. Gruzdeva, T. B. Pecherina, O. E. Akbasheva, D. A. Borodkina, V. V. Kashtalap, V. N. Karetnikova, A. N. Kokov, N. K. Brel, Yu. A. Dyleva, E. V. Belik, E. G. Uchasova, E. E. Bychkova, A. A. Kuzmina

“…The data were analyzed using descriptive statistics, correlation and ROC analysis, and logistic regression (Statistica 9.0).Results. …”
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The influence of dietary choices: investigation of the relationship dietary inflammatory index and fetal growth restriction by Ayşe Gülçin Baştemur, İclal Sena Gezer, Burcu Kesikli, Atakan Tanaçan, Özgür Kara, Nuray Yazıhan, Dilek Şahin

“…The study aimed to investigate the correlation between maternal DII, total oxidant status (TOS), total antioxidant status (TAS), interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor-alpha (TNF-α) levels in FGR-diagnosed pregnant women. …”
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Triponderal mass index can be used as a potential tool to predict the risk of hyperuricemia in children and adolescents with obesity: a population-based study by Yang Niu, Yang Niu, Yang Niu, Yajie Zhang, Yajie Zhang, Yajie Zhang, Jinye Sheng, Yi Feng, Yi Feng, Qingya Tang, Qingya Tang, Qingya Tang, Xiuhua Shen, Xiuhua Shen

“…Multiple regression analysis revealed that after controlling for age and sex, body mass index (BMI), TMI, waist circumference (WC), hip circumference (HC), WHtR, fat mass (FM), and skeletal muscle mass (SMM) were independent risk factors for HUA (p < 0.05). …”
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Maturity of data interoperability cross-organizations in supporting the concept of one employment data at the ministry and regional government levels by Herpita Wahyuni, Dyah Mutiarin, Ulung Pribadi, Nur Syakiran Akmal Ismail, Eko Priyo Purnomo, Wahyudi Kumorotomo

“…This research uses a mixed-method research approach that examines preparedness, understanding, command style, and ethos in relation to the maturity of E-Government Interoperability across Organizations in Central and Regional Governments in Processing One Employment Data. Regression analysis and hypothesis testing are carried out using SEM-PLS (Structural Equation). …”
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TNFAIP8L3 regulation of the TGF-β signaling pathway affects the proportion of macrophages during tumor antigen presentation and affects the prognosis of ovarian cancer by Chaomin Yue, Xiao Zheng, Yuqing Ye, Danyang Li, Yanhong Zhou

“…Finally, a nomogram and multivariate COX regression analysis were performed to prove the independent prognostic value of TNFAIP8L3 in OVCA.ResultsA total of 181 genes were co-expressed with TNFAIP8L3, including 163 positively correlated and 18 negatively correlated genes. …”
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Genetic influence of the brain imaging phenotypes, brain and cerebrospinal fluid metabolites and brain genes on migraine subtypes: a Mendelian randomization and multi-omics study by Ping-An Zhang, Jie-Lin Wang, Mei-Hua Dong, Xiang-Chun Huang, Nai-Jian Li, Run-Dong Qin, Jing Li

“…Enrichment analyses (KEGG, GO, PPI, transcription factor, and miRNA networks) were conducted to further explore underlying mechanisms. …”
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Sustainable development of mortgage lending: economic challenges and prospects by J.S. Mukhamedov, T.S. Sokira, Z. Kuldasheva

“…Drawing on data from The Global Economy (2023), the study explores how mortgage programs in developed countries affect the ratio of banking sector assets to GDP, providing a global benchmark. A detailed analysis of mortgage trends from 2007 to 2023 reveals important patterns and correlations between macroeconomic factors and mortgage loan dynamics in both countries. …”
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Climate Variability and Farmers’ Perception in Southern Ethiopia by Befikadu Esayas, Belay Simane, Ermias Teferi, Victor Ongoma, Nigussie Tefera

“…The study applied a nonparametric Sen’s slope estimator and Mann–Kendall’s trend tests to detect the magnitude and statistical significance of climate variability and binary logit regression model to find factors influencing farm households’ perceptions about climate variability over three agroecological zones (AEZs). …”
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Prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and its association with arterial stiffness in adolescents: Results from the EVA4YOU study. by Johannes Nairz, Alex Messner, Sophia J Kiechl, Bernhard Winder, Christoph Hochmayr, Julian Granna, Alexander E Egger, Andrea Griesmacher, Ralf Geiger, Michael Knoflach, Ursula Kiechl-Kohlendorfer, Early Vascular Ageing in the YOUth (EVA4YOU) Study Group

“…Linear regression models and one-way analysis of variance were performed to analyze the association between liver fat content, MASLD and cfPWV.…”
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A mixed method impact assessment of the use of aerial logistics to improve maternal health and emergencies outcomes in the Ashanti Region of Ghana by Pedro Kremer, Florence Haruna, Christina Briegleb, Maame Esi Amoah, Kenneth Fosu Oteng, Stephanie Boadi, Samuel Dwomoh, Adwoa Bentil, Emmanuel Tinkorang

“…Pre-exposure years were 2017–2020, and post-exposure years were 2021–2022. Statistical analysis involved univariate explorations, T-tests, ANOVAs, and Zero-Inflated Poisson regressions, adjusting for factors like poverty. …”
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Black Lung Disease among Coal Miners: First Ever Evidence from Indonesia’s National Coal Production Report by Kurnia Ardiansyah Akbar, Kraiwuth Kallawicha

“…Data were sourced from Indonesia’s national coal production records, coal mining data records, and black lung disease statistics to calculate annual incidence rate changes in order to quantify fluctuations in incidence rates over the given period. Logistic regression analysis was employed to determine the associations between individual characteristics and job details and the occurrence of black lung disease. …”
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Short-term effect of anti-VEGF for chronic central serous chorioretinopathy according to the presence of choroidal neovascularization using optical coherence tomography angiography... by Yong-Yeon Song, Hwa-Young Yu, Seung-Kook Baek, Young-Hoon Lee, Min-Woo Lee

“…Univariate and multivariate linear regression analyses were performed to identify factors associated with the visual outcome of chronic CSC with CNV after IVB.…”
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The prognostic role of albumin-bilirubin grade in the mortality of extrahepatic cholangiocarcinoma patients by Fatemeh Dayyan, Farhad Zamani, Hossein Ajdarkosh, Mahmoodreza khoonsari, Amirhossein Faraji, Mehdi Nikkhah, Akram Nourian, Fahimeh Safarnezhad Tameshkel, Elham Sobhrakhshankhah

“…Clinical data of patients were collected to calculate ALBI score which was subsequently divided into three distinct grades (grade 1: ≤−2.60, grade 2: > −2.60 to ≤ − 1.39, grade 3: >−1.39). Kaplan-Meier analysis and Cox regression model were used to analyze overall survival, 1-, 3- and 5-year survival and parameters affecting patient survival. …”
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The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study by Yanzhen Huang, Yu Wu, Shaodan Zhou, Xianting Que, Ailing Jiang, Danli Shi, Ting Lu, Yanlan Chen, Ziqun Lin, Chao Liu, Yishuang Wen, Shuyi Zhang, Wen Huang

“…This study aimed to explore the clinical characteristics of new-onset MG patients after COVID-19 and analyze factors affecting their disease improvement. …”
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Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning by Shang S, Wei M, Lv H, Liang X, Lu Y, Tang B

“…Among all the models, the extreme gradient boosting (XGB) model performed the best, with an area under the curve (AUC) value of 0.933, a sensitivity of 0.79, a specificity of 0.89, a recall of 0.79, and an F1 score of 0.59 on the validation set. The SHAP analysis showed that CRP, BMI, NT-ProBNP, D-dimer, and GSP were the main influencing factors for death.Conclusion: This study successfully constructed a prediction model for the in-hospital death risk of advanced elderly patients with HF, and the XGB model exhibited excellent prediction performance. …”
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Parental role in paediatric cancer treatment decision making at Tikur Anbessa Specialized Hospital, Ethiopia: A mixed method study by Daniel Betemariem, Leul Deribe, Aklil Hailu, Haileyesus Adam, Nataliya Berbyuk Lindström

“…Additionally, 11 in-depth interviews were conducted with selected parents. Logistic regression and thematic analysis were used to analyze the quantitative and qualitative data, respectively. …”
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Epidemiology of the global burden of atrial fibrillation among women of child-bearing age, 1990–2021: insights from the Global Burden of Disease Study 2021 by Shuwen Chen, Junpeng Xiong, Peiyang Zheng, Ronghui Yu

“…Age-standardized rates (ASRs) of incidence, prevalence, disability-adjusted life years (DALYs), and mortality rate were calculated from 1990 to 2021. Joinpoint regression and Bayesian age-period-cohort analysis were applied to assess temporal trends, regional disparities, and to project future AF burden. …”
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Epidemic characteristics of diabetes in schizophrenic patients in Shanghai communities by ZHANG Yayun, WU Hemin, LU Yi, LIU Yanli, ZHANG Weibo

“…Multivariate logistic regression analysis revealed that living in non-central urban areas (OR=1.76, 95%CI: 1.33‒2.32), disease duration of 6‒ years (OR=2.60, 95%CI: 1.07‒6.32), disease duration of 11‒ years (OR=2.72, 95%CI: 1.17‒6.35), disease duration of 16‒ years (OR=3.38, 95%CI: 1.54‒7.42), hypertension (OR=1.73, 95%CI: 1.27‒2.36), obesity (OR=1.52, 95%CI: 1.15‒2.00), and elevated triglyceride levels (OR=2.78, 95%CI: 2.22‒3.49) were risk factors for diabetes in patients with schizophrenia.ConclusionThe prevalence of diabetes in community-dwelling patients with schizophrenia is higher than that in the general population. …”
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Expression and its clinical significance of sPD-1 and sPD-L1 in patients with primary nephrotic syndrome by LV Zhi-an, WANG Juan-ni, YANG Yan-yan

“…Pearson correlation analysis was used to determine the correlation of serum sPD-1 and sPD-L1 levels in patients with PNS, and multivariate logistic regression was used to analyze the risk factors of PNS. …”
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