Does bladder outflow obstruction obfuscate the traditional clinical factors that are used to assess the risk of prostate cancer at rapid‐access diagnostic clinics? by Thomas Philip Cahill, Samuel Joseph Withey, Steve Hazell, Declan Cahill, Netty Kinsella

“…There was no significant difference between the other predictive factors or csPCa compared to the non‐obstructed (n = 227) cohort. Multivariable logistic regression analysis showed age, PSA density, an abnormal digital rectal examination and scoring PI‐RADS 4–5 on magnetic resonance imaging were all significantly associated with csPCa in the non‐obstructed cohort (p < 0.05). …”
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Risk factors associated with pregnancy loss after single euploid blastocysts transfer by Xiaohui Dong, Juanzi Shi, Xiaohua Liu, Danmeng Liu, Wei Li, Xiaoli Zhao, Xia Xue

“…In order to minimize the impact of confounding factors, various variables were included in a binary logistic regression analysis.ResultsThe PL rate after the transfer of euploid embryos is 13.3% (36 cases of PL out of 270 cases of single embryo transfer). …”
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Nomogram to predict cumulative live birth rate following in vitro fertilization/intracytoplasmic sperm injection cycles in patients with endometriosis by Linling Zhu, Tongtong Lin, Xinyun Yang, Dan Zhang

“…Univariate analysis and multifactorial logistic regression analysis were employed to identify relevant predictive factors affecting CLB rate. …”
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The potential of the serum uric acid to high-density lipoprotein cholesterol ratio as a predictive biomarker of diabetes risk: a study based on NHANES 2005–2018 by Jianming Yin, Chuanjie Zheng, Xiaoqian Lin, Chaoqiang Huang, Zhanhui Hu, Shuyuan Lin, Yiqian Qu

“…The association between UHR and the risk of diabetes was explored using multivariate logistic regression models, with key predictive factors identified through LASSO regression. …”
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Differences in health related quality of life among older migrants and nonmigrants in India by Vasim Ahamad, Ram B. Bhagat

“…Further, the adjusted logistic regression result shows that migrants were likelier to have poor HRQoL [AOR 1.15; CI 1.09–1.22] than non-migrants. …”
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Correlation between OSAHS and Early Peripheral Atherosclerosis Indices in Patients with Type 2 Diabetes Mellitus in China: A Cross-Sectional Inpatient Study by Xin Zhao, Xiaofeng Yu, Sixu Xin, Wei Zhang, Xiaomei Zhang, Linong Ji

“…According to the monitoring results, 312 patients were divided into 4 groups including the control group (208 cases), mild OSAHS group (18 cases), moderate OSAHS group (38 cases), and severe OSAHS group (48 cases). Multivariate logistic regression analysis was used to analyze the early atherosclerosis indices including brachial-ankle pulse wave velocity (PWV) and ankle-brachial index (ABI) in patients with T2DM coexistence with different degrees of OSAHS. …”
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The Role of NMP22 and CSTB Levels in Predicting Postoperative Recurrence of Bladder Cancer by Changkun Huang, Xiaolin Ai, Liping Hu, Da Ren

“…Receiver operating curve (ROC) was used to analyze the evaluation value of preoperative NMP22 and CSTB expression in patients with bladder cancer postoperative recurrence. Logistic multivariate regression method was used to analyze the correlation between preoperative NMP22 and CSTB expression and postoperative bladder cancer recurrence. …”
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Prevalence and Associated Factors of Perinatal Asphyxia in Neonates Admitted to Ayder Comprehensive Specialized Hospital, Northern Ethiopia: A Cross-Sectional Study by Gebrehiwot Teklehaimanot Gebregziabher, Fikaden Berhe Hadgu, Haftom Temesgen Abebe

“…Variables with P value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with P value < 0.05 were expressed as associated factors of perinatal asphyxia. …”
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Family cohesion, children’s thoughts, and children’s cognitive assessments: Mediating role of sport anxiety by Юмна Али, Сайед М. И. Шах

“…Statistical methods included Pearson’s correlation, logistic regression, the Hayes’ PROCESS Macro, and analysis of variance (ANOVA). …”
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Association of Tobacco Use and Oral Cancer in a South Asian Population: A Case–control Study by Amra Sultana, Pushpanjali Krishnappa, Vivek Verma, Denny John, K. M. Shwetha, M. M. Sanjana, Anitha R. Sagarkar

“…In individuals above 60 years, two logistic regression models were compared to investigate the improvement in modeling the association of the independent factors and tobacco use with the occurrence of the disease. …”
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Predictive value of integrated pulmonary index for the outcome of ventilator withdrawal failure in elderly patients with hypoxic respiratory failure by Nan Wu, Jin Liu, Xianrong Feng

“…The results of multivariate logistic regression analysis showed that IPI score was one of the independent factors of ventilator weaning failure in elderly patients with hypoxemic respiratory failure (P<0.05). …”
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Expressed emotions among caregivers of individuals with schizophrenia and associated factors: a multihospital-based survey in Southern Thailand by Tanaporn Kaewchum, Jarurin Pitanupong, Laddaporn Tepsuan, Puangsan Yakkaphan, Pakpoom Maneepongpermpoon

“…The groups analyzed were compared using the Analysis of Variance (ANOVA) or Kruskal-Wallis test, the Student t-test or Wilcoxon rank sum test, and the Chi-square test. Multiple logistic regression analysis was performed. Results In a survey of 200 caregivers, 70.5% were female. …”
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Predictive value of epicardial fat thickness for left ventricular reverse remodeling after radiofrequency ablation in atrial fibrillation patients with left ventricular hypertrophy by Ke Hu, Wenhui Wang, Junping Zhen, Chunsong Kang

“…[Methods] A total of 50 patients with atrial fibrillation admitted to Shanxi Bethune Hospital from June 2021 to September 2023 were retrospectively collected.The clinical data of the patients were collected by electronic medical records.EFT was examined by echocardiography.The patients were divided into groups according to whether reverse remodeling was achieved.Univariate and multivariate logistic regression models were used to analyze the factors of postoperative left ventricular reverse remodeling.ROC curve was used to analyze the predictive value of EFT. …”
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Potential Biomarkers for Predicting the Risk of Developing Into Long COVID After COVID‐19 Infection by Zhiyong Hou, Yu Ming, Jun Liu, Zhong Wang

“…Subsequently, the screening of hub genes involved employing the SVM‐RFE, RF, XGBoost algorithms, and logistic regression analysis. Among the 67 candidate genes were processed with machine learning algorithms and logistic regression, a subgroup consisting of CEP55, CDCA2, MELK, and DEPDC1B, was at last identified as potential biomarkers for predicting the risk of the progression into long COVID after COVID‐19 infections. …”
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CT-based scoring system for diagnosing eosinophilic solid and cystic renal cell carcinoma versus clear cell renal cell carcinoma by Sunya Fu, Dawei Chen, Yuqin Zhang, Yuguo Wei, Yuning Pan

“…Finally, 25 ESC-RCC and 50 ccRCC cases were included and randomly divided into a training cohort (52 cases) and a validation cohort (23 cases). Logistic regression identified significant factors, constructed the primary model, and assigned weights for the scoring model. …”
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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro

“…Additionally, a multinomial logistic regression model using the KTS was developed as a benchmark for the ML models. …”
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Comparison of the sociodemographic and clinical profiles of cancer patients admitted to a tertiary palliative care unit before and during the COVID-19 pandemic by Bruno Fernando da Silva Reis, Gisele O’Dwyer, Valeria Teresa Saraiva Lino, Lívia Costa de Oliveira, Karla Santos da Costa Rosa, Simone Garruth dos Santos Machado Sampaio

“…Sociodemographic and clinical data were evaluated. Logistic regression analyses were used, with the odds ratio (OR) and 95% confidence interval (CI) as measures of effect. …”
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Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal. by Bandana Paneru, Aerona Karmacharya, Alina Bharati, Soniya Makaju, Bikram Adhikari, Dikshya Kafle, Sunila Shakya, Donna Spiegelman, Sangini Seth, Anne Stangl, Aamod Dhoj Shrestha, Archana Shrestha

“…Univariable and multivariable logistic regression were performed to assess the association between cancer stigma and cervical cancer screening uptake. …”
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Factors Affecting the Presence of Renal Cortical Cysts in Kidney Donors by Sevim Nuran Kuşlu Çiçek, Amil Huseynov

“…The prevalence of aortic atherosclerosis was notably elevated in donors with cysts (47.74%) compared to those without (23.57%, P < .001). Binary logistic regression analysis indicated that older age and being male were significant factors influencing the presence of cortical cysts. …”
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COVID-19 pandemic: mental health (distress as depression) in orthodontists by Eloisa Peixoto Soares Ueno, Liana Fattori, Edgard Michel-Crosato, Wilze Laura Bruscato, José Rino Neto, João Batista de Paiva

“…The association between variables was verified using Chi-square or likelihood ratio tests. Multiple logistic regression models were estimated after bivariate logistic regression tests (p < 0.10). …”
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