Clinicopathological features and mucin expression of early papillary gastric adenocarcinoma by Jiaqi Chen, Xiujie Cui, Chengjun Zhou, Mulan Jin

“…Multivariable logistic regression was used to conduct a comparative analysis of the two groups of variables. …”
Get full text

Paraquat-associated Severe Acute Kidney Injury—Study from India by Manjusha Yadla, K. Manu, K.V. Anupama, B. Rajasekhar

“…Mortality was observed in 38 of the 60 patients (68%). Factors associated with mortality on Cox regression analysis include amount of consumption. …”
Get full text

Treatment decisions and surgery variables are predictors of better physical function after total hip and knee arthroplasty: a retrospective cohort study by Janis Nikkhah, Lukas Schöner, Carlos J. Marques, Christoph M. Pros, Reinhard Busse

“…The factors analyzed included surgery variables (surgeon presence, surgeon experience, surgery duration, complication) and treatment decisions (early mobilization, remote monitoring), along with patient characteristics. …”
Get full text

Can we predict post-surgical improvement in functional stooping in lumbar spinal stenosis? Insights from oblique lumbar interbody fusion outcomes and radiologic predictors by Dong-Ho Kang, Jonghyuk Baek, Bong-Soon Chang, Sam Yeol Chang, Dongook Kim, Sanghyun Park, Hyoungmin Kim

“…The clinical and radiological factors were analyzed. Logistic regression and receiver operating characteristic curve analysis were conducted to identify factors associated with presence or abscence of preoperative functional stooping, and to establish predictive threshold values, respectively. …”
Get full text

Tuberculosis Treatment Outcomes and Its Predictors among Tuberculosis Patients Registered at Tefera Hailu Memorial General Hospital, Sekota Town, Northeast Ethiopia: A Seven-Year R... by Habtu Debash, Jemberu Nega, Habtye Bisetegn, Gebru Tesfaw, Daniel Getacher Feleke, Hussen Ebrahim, Alemu Gedefie, Mihret Tilahun, Ousman Mohammed, Ermiyas Alemayehu, Melaku Ashagrie Belete, Abdurahaman Seid, Agumas Shibabaw

“…Data were entered, cleaned, and analyzed using SPSS version 25. Descriptive statistics and logistic regression analysis were employed. …”
Get full text

Association between serum uric acid levels and white matter hyperintensities in patients with mild ischemic stroke by Chaoxin Chai, Chaoxin Chai, Chaoxin Chai, Yuqi Cui, Yuqi Cui, Yuqi Cui, Meng Li, Meng Li, Meng Li, Jianing Xia, Jianing Xia, Jianing Xia, Yiming Wang, Yiming Wang, Yiming Wang, Fuyun Ren, Fuyun Ren, Fuyun Ren, Liping Chen, Liping Chen, Liping Chen

“…According to the score of Fazekas, WMH was divided into two groups. Factors influencing WMH severity were analyzed, and the relationship between SUA and WMH was further explored. …”
Get full text

In-Hospital Mortality and Costs of Added Morbidity in Heart Failure Patients at a University Hospital: A Retrospective Cross-Sectional Study by Lourdes Raya Ortega, Jesús Martínez Tapias, María José Ferreras Fernández, Manuel Jiménez-Navarro, Almudena Ortega-Gómez, Miguel Romero-Cuevas, Juan José Gómez-Doblas

“…We included all discharges with a primary diagnosis of HF in 2021. Logistic regression analysis was employed to identify factors associated with mortality, and cost analysis was performed to assess the economic impact of added morbidity. …”
Get full text

D-Dimer Combined with Fibrinogen Predicts the Risk of Venous Thrombosis in Fracture Patients by Chaohui Lin, Yifan Chen, Bin Chen, Ke Zheng, Xiongbiao Luo, Fengfei Lin

“…By comparing the difference between the two groups, we employ multiple logistic regression to find risk factors that are useful to detect VTE. …”
Get full text

Association between Non high density lipoprotein to high density lipoprotein cholesterol ratio and bone mineral density by Ying Zhou, Ning Su, Huimin Dai, Guowei Ma, Rui Yin, Jiajia Sheng, Mingxia Quan, Liu Yang, Jie Chen

“…A total of 3,138 participants were analyzed and grouped by NHHR quartiles. Higher NHHR was associated with male gender, younger age, and increased cardiometabolic risk factors. …”
Get full text

Predictive modelling of air pollution affecting human tuberculosis risk on Mainland China by Boli Qin, Rongqing He, Xiaopeng Qin, Jiayan Jiang, Chenxing Zhou, Songze Wu, Jichong Zhu, Shaofeng Wu, Jiarui Chen, Jiang Xue, Kechang He, Chong Liu, Jie Ma, Xinli Zhan

“…Data on TB rates and six air pollution indicators were collected and analyzed for correlations. Regression models were built using six algorithms, among which the random forest (RF) model showed superior performance. …”
Get full text

Association between weight-adjusted waist index and severe periodontitis using NHANES 2009–2014 by Guiying He, Jiatong Zhang, Xinyue Liu, Zhengjie Qiu, Mengqing Yan, Mingxuan Zhang, Dongyang Wu, Lipei Liu, Cheng Ding, Xing Chen

“…Given the well-established association between obesity and periodontitis, this cross-sectional clinical study aimed to investigate the relationship between WWI and severe periodontitis while evaluating its potential as a simple predictive marker for periodontitis. The study analyzed periodontal examination data and WWI measurements from participants in the 2009–2014 National Health and Nutrition Examination Survey (NHANES), employing weighted logistic regression, smoothed curve fitting, and subgroup analyses. …”
Get full text

Soil Nutrient Dynamics and Fungal Community Shifts Drive the Degradation of <i>Pinus sylvestris</i> var. <i>mongholica</i> Plantations in the Loess Plateau by Jiaxing Wang, Xiaotian Su, Yimou Luo, Yue Zhang, Yihan Wang, Jing Gao, Defu Wang

“…With an increasing stand age, the fungal diversity decreased, the ectomycorrhizal fungi declined, and the pathogenic fungi increased, exacerbating plantation degradation. Regression analysis further indicated a significant negative correlation between AK content and stand age, suggesting potassium deficiency as a critical driver of tree health decline. …”
Get full text

Towards sustainable urban agriculture in the arid GCC states: Drivers of technology adoption among small-scale farmers by Elnazir Ramadan, Suliman Abdalla, Ali Al Ahbabi, Tarig Gibreel, Naeema Al Hosani

“…By utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, along with diffusion of innovation, institutional and risk theories, data was gathered through a structured questionnaire and analyzed using ordinal logistic regression (OLR). The analysis identified key drivers of adoption, including performance expectancy, effort expectancy, social influence, facilitating conditions, trust in government and technology providers, and cultural norms. …”
Get full text

Prevalence of MTHFR C677T polymorphism and its association with serum homocysteine and blood pressure among different ethnic groups: insights from a cohort study of Nepal by Rajendra Dev Bhatt, Biraj Man Karmacharya, Archana Shrestha, Dinesh Timalsena, Surendra Madhup, Rajesh Shahi, Nishan Katuwal, Rajeev Shrestha, Annette L. Fitzpatrick, Prabodh Risal

“…Descriptive analysis, the Hardy-Weinberg equilibrium test, and multinomial regression were performed. …”
Get full text

Prospective Association Between Chinese Visceral Adiposity Index and Risk of Stroke Incidence in Middle-aged and Elderly Chinese Population by SHAO Miaomiao, CHEN Zhengzhen

“…Covariates included general demographic characteristics, lifestyle factors, health status, and blood biomarkers. Cox proportional hazards regression models were used to explore the dose-response relationship between CVAI and stroke risk.ResultsA total of 11 432 middle-aged and older adults were included, with a mean age of 60.24±9.56 years. …”
Get full text

Associations between overprotective parenting style and academic anxiety among Chinese high school students by Dexian Li, Wencan Li, Xin Lin, Xingchen Zhu

“…Pearson correlation, ordinary least squares (OLS) regression analysis, path analysis, and Fisher’s permutation test (FPT) were used to examine the effects of overprotective parenting style on high school students’ academic anxiety. …”
Get full text

Perceptual dimensions of heritage canal landscapes and their impact on conservation value cognition by Yinong Li, Lei Cao, Weifu Gao

“…The relationship between perceptual dimensions and visual elements, as well as the impact of perceptual dimensions on conservation value cognition, were analyzed. Principal component analysis identified 6 perceptual dimensions (eigenvalues >1), named supportiveness, eventfulness, nativeness, temporality, openness, tranquility, explaining 64.3 % of the variance. …”
Get full text

Neurodevelopmental outcomes of infants with very low birth weights are associated with the severity of their extra-uterine growth retardation by Han-Chun Chien, Chao-Huei Chen, Teh-Ming Wang, Ya-Chi Hsu, Ming-Chih Lin

“…We then estimated the association of EUGR with low mental developmental index (MDI) or low psychomotor developmental index (PDI). Multiple logistic regression and stratified analyses were used to adjust for the possible confounding factors. …”
Get full text

Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study by Xinglin Yi, Yuhan Zhang, Juan Cai, Yu Hu, Kai Wen, Pan Xie, Na Yin, Xiangdong Zhou, Hu Luo

“…Demographic and clinicopathologic variables of patients with KC diagnosed between 2004 and 2017 were retrospectively analyzed. We performed a univariate logistic regression analysis to identify risk factors for LM in patients with KC. …”
Get full text

Association between the COVID-19 pandemic and cardiopulmonary function in acute coronary syndrome patients without SARS-CoV-2 infection by Xingbo Mu, Sicheng Ning, Quanyu Zhang, Yi Zhang, Shengyi Wang, Jian Zhang, Yanchun Liang, Yaling Han

“…This single-center cross-sectional cohort study evaluated cardiopulmonary function changes in acute coronary syndrome (ACS) patients post-percutaneous coronary intervention (PCI) without SARS-CoV-2 infection and explored pandemic-related influencing factors. We analyzed 7,650 ACS patients undergoing complete PCI revascularization and cardiopulmonary exercise testing (CPET) between October 2018 and December 2023, stratified into pre-pandemic (cut-off: February 1, 2020), during-pandemic, and post-pandemic (cut-off: December 31, 2022) groups. …”
Get full text