Blood pressure variability combined with coagulation function in early prediction and outcome assessment of germinal matrix-intraventricular hemorrhage in preterm infants with gest... by Lijun Jiang, Qian Yu, Hui Li, Fudong Wang, Feng Liu, Zhenxing Xu

“…Coagulation function and BPV indexes were collected at admission. Univariate analysis, logistic regression model, and receiver operating characteristic curve were used to analyze the relationship between indexes and the occurrence and outcome of GMH-IVH in preterm infants.…”
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Association between arterial stiffness and MASLD in US young adults: base on NHANES 2005-2018 by Qing-zhong Li, Jia-xin Tan, Quan-Zhi Qin, Guo-tian Ruan, Teng Deng, Yi-zhen Gong

“…The association between MASLD and arterial stiffness was analyzed using weighted multiple logistic regression models and restricted cubic splines. …”
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Prognostic Relationship Between Human Papillomavirus Status and Overall Survival in Patients with Tongue Cancer by Chayanit Kritpracha, Peesit Leelasawatsuk, Virat Kirtsreesakul, Pasawat Supanimitjaroenporn, Jarukit Tantipisit, Manupol Tangthongkum

“…Survival outcomes were compared using the log-rank test, and independent prognostic factors were analyzed using multivariable Cox regression. …”
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The elevated levels of soluble growth stimulation expressed gene 2 are associated with coronary atherosclerotic plaque destabilization in unstable angina patients: a case control s... by Ning Li, Xinjian Li, Lin Ni, Xuewen Li

“…In multivariable logistic regression analysis, elevated sST2 levels emerged as an independent factor associated with the presence of OCT-defined plaque destabilization (p = 0.013). …”
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Navigating pressure and connection: goal orientation, coach-athlete relationships, and burnout among Chinese collegiate athletes—a mixed-methods study by Le Wang, Hongye Lian

“…The quantitative phase surveyed 346 athletes (Mage = 20.6 years) across five Chinese provinces using the TEOSQ (Task and Ego Orientation in Sport Questionnaire), CART-Q (Coach-Athlete Relationship Questionnaire), and RED-A (Reduced Exhaustion Depression and Reduced Accomplishment Scale). Data were analyzed using hierarchical regression. The qualitative phase involved semi-structured interviews with a purposive subsample of 28 diverse athletes, which underwent thematic analysis.ResultsQuantitative findings indicated that task orientation, CAR closeness, and complementarity were significant negative predictors of all burnout dimensions (p < 0.05). …”
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The role and regulatory mechanism of miR-122-5p in the process of pilon fracture healing by Yang Zhang, Yingnan Li, Min Zhou, Lichang Yang

“…Methods The expression levels of miR-122-5p were examined in patients with Pilon fracture healed and nonunion, respectively. ROC analysis was employed to evaluate the diagnostic value of miR-122-5p in identifying fracture nonunion, while logistic regression identified its risk factors. …”
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Skeletal muscle index/systemic immune-inflammation index (SMI/SII) ratio predicts prognosis in patients with hepatocellular carcinoma by Shu-Xian Li, Wei Huang, Jun-Xiang Li, Tian-Zhi An, Hui-Zhou Li, Chao Hu, Yu-Dong Xiao, Tian-Cheng Wang

“…Based on optimal cut-off value, patients were stratified into low and high SMI/SII groups. Cox regression analysis were performed to determine the independent prognostic factors for poor OS. …”
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COL7A1 indicates crucial potential as a basal membrane-related prognostic biomarker and therapeutic target in lung adenocarcinoma by Jiao Zhang, Jiao Zhang, Jiao Zhang, Jiao Zhang, Jiao Zhang, Rui Zi, Ping Hu, Zongying Jiang, Ye Lv, Haixia Zhang, Yanjiao Zhao, Yan Wang, Lujun Zhao, Lujun Zhao, Lujun Zhao, Lujun Zhao

“…Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were used to evaluate their functions. Univariate Cox regression analysis was used to evaluate the prognostic value, and multivariate Cox regression analysis was used to verify its independence as a prognostic risk factor. …”
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Development and Validation of a Neonatal Hypothermia Prediction Model for In-Hospital Transport Using Machine Learning Algorithms: A Single-Center Retrospective Study by Zhang W, Gu X, Gu C, Yao L, Zhang Y, Wang K

“…Ten risk factors were identified through univariate analysis and LASSO regression, including gestational age, weight, and immediate postnatal contact. …”
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Clinical characteristics of Chlamydia psittaci pneumonia: a single-center, retrospective study over 5 years by Chunyan Zhu, Tingting Ye, Chongyang Ye, Mingyan Xu, Yuxi He, Dan Wang, Xianling Meng, Xiaoqing Fan, Min Zhou

“…After adjustment for sex and age, logistic regression analysis identified myocardial injury as an independent risk factor for severe C. psittaci pneumonia (OR, 124.3, [95%CI, 4.25 ~ 3633.24]; P = 0.005). …”
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Schistosomiasis Among Schoolchildren in Amd District of Hadhramout Governorate, East of Yemen: A Hotspot for Schistosoma haematobium Transmission by Al-Bowri SS, Al-Mekhlafi AM, Abdul-Ghani R, Azazy AA

“…Urine filtration and Kato-Katz techniques were used to detect and count the eggs of Schistosoma haematobium and S. mansoni, respectively. Data were analyzed using appropriate statistical tests, and multivariable binary logistic regression analysis was performed to identify predictors of schistosomiasis.Results: In Amd District, 33.7% (95% CI: 28.9– 38.7) of schoolchildren had light-intensity infection with any Schistosoma species, indicating a moderate risk level, specifically S. haematobium among 31.6% (95% CI: 26.9– 36.3) and S. mansoni among 2.1% (95% CI: 0.7– 3.6) of children. …”
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Priorities for intervention of childhood stunting in northeastern Ethiopia: A matched case-control study. by Sisay Eshete Tadesse, Tefera Chane Mekonnen, Metadel Adane

“…A conditional logistic regression model was used for data analysis. From multivariable conditional logistic regression analysis, determinants of stunting were identified. …”
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Healthcare professionals’ knowledge, attitudes, and practices regarding China’s National Centralized Drug Procurement policy: a cross-sectional study in Shaanxi Province by Qian Shen, Limin Kang, Dan Ye, Youjia Li, Kanghuai Zhang

“…All the variables were descriptively analyzed, and multivariate logistics regression analysis was used to explore the factors associated with KAP level.ResultsA total of 1,257 valid responses were received. …”
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Investigating the Effect of Normative Pressure on the Level of Adjustment between Ahvaz Youth and Their Parents with an Emphasis on Generation Gap by Daryoush Rezapour, mohammad bagher koopai

“…However, there was no significant relationship between employment status and youth gender with the dependent variable. Step-wise regression analysis showed that the variable of normative pressure and the youth’ use of mass media were the most influential factors on the level of generation gap and inconsistency between youth and their parents, respectively…”
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Determinants of vitamin D deficiency among Bangladeshi children: A hospital based case-control study by Mohammad Delwer Hossain Hawlader, Sanjana Zaman, Moshiur Rahman, Mohammad NM Khan, Aazia Hossain, Gias U Ahsan

“…Univariate and multivariate logistic regression analysis were performed to confirm the association.  …”
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Association between the cardiometabolic index and cardiovascular disease risk in patients with cardiovascular-kidney-metabolic syndrome: a cohort study by De-Gang Mo, Tao Liu, Jing-Xian Bai, Min Liu, Qian-Feng Han, Heng-Chen Yao

“…In the fully adjusted Cox regression model, CMI is identified as an independent risk factor for the development of CVD in patients with CKM [Hazard Ratio (HR): 1.07, 95% Confidence Interval (CI): 1.02–1.04, p = 0.006]. …”
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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine L... by Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

“…Patients with nonsquamous disease, who received systemic therapy for NSCLC, and had at least 3 months of follow-up data for analysis were included in this study. Three strategies, logistic regression models, penalized logistic regression using least absolute shrinkage and selection operator penalty, and extreme gradient boosting with classification trees as base learners, were used to identify predictors of ever versus never and early versus late NGS testing. …”
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Preoperative combined biomarker model of fibrinogen-to-albumin ratio and systemic immune-inflammation index to carbohydrate antigen 19-9 ratio predicts survival in distal cholangio... by Fangfei Wang, Qiang He, Shaocheng Lyu

“…Multivariable Cox regression identified independent prognostic factors, and a nomogram was constructed for survival prediction. a nomogram integrated independent risk factors into a predictive model, then calibration curves and decision curve analysis (DCA) collectively validated the model’s prognostic capability. …”
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Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

“…The calibration curve indicated that the predicted probabilities from the RF model had the smaller deviation from the actual probabilities compared to other models，showing the best overall predictive performance. SHAP analysis based on the RF model revealed that mechanical ventilation，sequential organ failure assessment（SOFA）score，body mass index（BMI），peripheral oxygen saturation（SpO2）and simplified acute physiology score（SAPS Ⅱ）were the main factors influencing ARDS risk. …”
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Highly expressed of SERPINA3 indicated poor prognosis and involved in immune suppression in glioma by Qing Yuan, Song‐Quan Wang, Guang‐Tao Zhang, Jie He, Zhi‐Dan Liu, Ming‐Rong Wang, Hong‐Qing Cai, Jing‐Hai Wan

“…Results Univariate and multivariate regression both indicated that the level of SERPINA3 transcript represented an independent prognostic factor. …”
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