Disparities in disease burden of congenital heart disease among 150,488 individuals in Western China by Jun Wang, Yang Bai, Hongmei Zhou, Jue Liu

“…Probit regression model was also used in sensitivity analysis. …”
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Effectiveness of Japanese traditional medicine (Kamikihito and Saikokeishito) for treating long COVID: a prospective observational study by Rie Ono, Rie Ono, Rie Ono, Shin Takayama, Shin Takayama, Shin Takayama, Ryutaro Arita, Ryutaro Arita, Ryutaro Arita, Kota Ishizawa, Akiko Kikuchi, Akiko Kikuchi, Akiko Kikuchi, Michiaki Abe, Minoru Ohsawa, Minoru Ohsawa, Minoru Ohsawa, Natsumi Saito, Natsumi Saito, Takeshi Kanno, Koh Onodera, Koh Onodera, Koh Onodera, Tadashi Ishii, Tadashi Ishii, Tadashi Ishii

“…The formulations and factors associated with QOL changes were analyzed using multivariate logistic regression analyses.ResultsWe analyzed 112 patients. …”
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In the context of the era of targeted therapy: evaluation of the survival benefits of different local treatment modalities for patients with 1–3 brain metastases from non-small cel... by Liang Sun, Haibin Chen, Zhi Yang, Liwen Li, Zhaohui ying, Yuanyuan Qu, Nanyang Tong, Caixing Sun, Liang Xia

“…For KPS ≥ 90, surgery + postoperative radiotherapy improved OS. Multivariate analysis identified age ≤ 57 (HR: 1.89; p < 0.001), surgery + postoperative radiotherapy (HR: 0.60; p = 0.017), and SRS (HR: 0.57; p = 0.01) as independent protective factors for OS. …”
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Development and validation of a machine learning model for central compartmental lymph node metastasis in solitary papillary thyroid microcarcinoma via ultrasound imaging features... by Haiyang Han, Heng Sun, Chang Zhou, Li Wei, Liang Xu, Dian Shen, Wenshu Hu

“…Ultrasound radiomic features were extracted from routine thyroid ultrasound images, and multiple feature selection methods were applied to construct radiomic models for each group. Independent risk factors, along with radiomics features identified through multivariate logistic regression analysis, were subsequently refined through additional feature selection techniques to develop combined predictive models. …”
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The clinical risk and post-COVID-19 sequelae in patients with myasthenia gravis: a retrospective observational study by Chaoyue Zhang, Haocheng Luo, Yufei Deng, Hongjin Li, Xiang Yu, Jiaxin Liu, Linqi Huang, Xiaojun Yang, Qilong Jiang

“…To address this gap, we collected clinical data on the condition and prognosis of MG patients with COVID-19 infection, aiming to investigate factors influencing both the severity of the infection and the occurrence of post-COVID-19 sequelae at 1 and 12 months after recovery.MethodThis was a retrospective analysis of 150 MG patients with COVID-19 infection from November 1, 2022 to March 1, 2023 at the First Affiliated Hospital of Guangzhou University of Chinese Medicine, including patient demographics, clinical characteristics, and post-COVID-19 sequelae. …”
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Efficacy and procedural efficiency of mechanical thrombectomy devices in posterior circulation stroke by Linlin Ma, Zhe Cheng, Gary B. Rajah, Gary B. Rajah, Ho Jun Yun, Xiaokun Geng, Xiaokun Geng, Xiaokun Geng, Yuchuan Ding

“…Any association between the devices and favorable clinical outcomes was assessed by logistic regression analysis.ResultsA total of 80 patients were analyzed. …”
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Weekly Image Guidance in Patients With Cervical Cancer Treated With Intensity‐Modulated Radiation Therapy: Results of a Large Cohort Study by Zheng Zeng, Weiping Wang, Junfang Yan, Dingchao Liu, Fuquan Zhang, Ke Hu

“…For patients with and without positive regional lymph nodes, the 5‐year OS, DFS, LRFS, and DMFS rates were 64.5% and 86.0%, 56.8% and 78.8%, 62.7% and 84.3%, and 58.8% and 81.0%, respectively. Multivariate analysis showed that age, histology, tumor size, cancer stage, pretreatment squamous cell carcinoma antigen level, and para‐aortic metastatic lymph nodes were independent prognostic factors of OS. …”
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The interplay of body mass index, gestational weight gain, and birthweight over 3800 g in vaginal breech birth: A retrospective study by Henriette Tautenhahn, Anne Dathan‐Stumpf, Noura Kabbani, Holger Stepan, Massimiliano Lia

“…Multivariable logistic regression was used for analysis and adjustment of variables. …”
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Evaluation value of serum SP⁃D，CCL25 and pulmonary vascular resistance index on the degree of lung injury and prognosis in traumatic wet lung by LIU Yajian，HU Zhuosi，CAO Xuexia，ZHAO Lianlian，LIU Junjuan，QIN Yanjun

“…The survival group exhibited lower APACHE Ⅱ scores，PVRI，SP⁃D，and CCL25 levels than the non⁃survival group（P<0.05）. Logistic regression identified APACHE Ⅱ score，PVRI，SP⁃D，and CCL25 as independent risk factors for mortality（P<0.05）. …”
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Assessment of smoking cessation outcomes in patients with cardiovascular disease: A retrospective cohort study from Türkiye by Yagmur Gokseven Arda, Guzin Zeren Ozturk

“…Multivariable logistic regression analysis revealed that older age (AOR=1.03; 95% CI: 1.01–1.05), higher level of education (AOR=1.84; 95% CI: 1.03–3.26), lower nicotine dependence score (AOR=0.85; 95% CI: 0.77–0.94), and treatment completion (AOR=0.13, 95% CI: 0.07–0.23) were significantly associated with smoking cessation success in the total sample. …”
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Effects of finger acupressure combined with lower limb rehabilitation training machine on stroke recovery by Xiaoxue Liu, Feng Zhang, Yanhong Li, Jieqiong Zhao, Yatao Du, Qian Zhang, Weifang Li

“…A multivariate logistic regression analysis was conducted to evaluate the impact of rehabilitation methods, stroke-related factors, and their interactions on motor function and balance recovery. …”
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Knowledge and attitudes toward [18F] fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography among non-radiologist medical staff by Lei Zheng, Hang Yang, Tianxin Xie, Dingde Huang, Haiying Tian

“…The questionnaire survey (Cronbach’s α = 0.887) included 28 items: 10 on demographics, 11 on knowledge (maximum score of 22), and seven on attitudes (maximum score of 35). The factors influencing knowledge and attitudes were identified using multivariable logistic regression analysis. …”
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Studying an educational intervention and its impact on health-related quality of life and fasting blood glucose levels among patients with type 2 diabetes mellitus in rural China by Shaofan Chen, Kristina Burström, Bo Burström, Dongfu Qian

“…FBG levels and HRQoL (assessed via EQ-5D-3 L, EQ-VAS, and Paretian Classification of Health Change [PCHC]) were analyzed using difference-in-differences (DID) models and multinomial logistic regression. …”
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Outcomes of Treatment in Ocular Myasthenia Gravis Based on Minimal Manifestation: A Real-World Retrospective Cohort Study by Kemchoknatee P, Santitamrongvtit B, Srisombut T

“…Baseline data, dosing, efficacy, and outcomes were analyzed using Cox regression and survival curves to identify predictors and time to first MM.Results: Of the 101 OMG, 81 patients (80.2%) achieved MM. …”
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Second-hand smoke exposure level in the household increases risk of chest pain and wheezing: evidence from Qatar biobank by Farah Issa, Marah Abdulla, Rana Abouzoor, Atiyeh M. Abdallah, Mohammed Al-Hamdani

“…Methods Secondary data of 6000 participants from Qatar Biobank between the age of 18 and 87 (47.8% females), consisting of Qatari nationals and long-term residents, who volunteered to participate in the study and provided self-report responses to a cross-sectional survey was analyzed. We controlled for a number of demographic and lifestyle factors when studying the relationship between the number of household members that smoke and the amount of time spent with them at home in the same room and chest pain/wheezing. …”
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Effect of asthma education intervention on self-management knowledge and control level in Tigray, Northern Ethiopia: a quasi experimental study by Tirhas Gebremedhin Gebresilassie, Alemayehu Worku, Ahmed Ali Ahmed, Negussie Deyessa Kabeta

“…The intervention's effect was analyzed using linear regression models for difference-in-differences and interaction effects, while heterogeneity analysis was performed using a generalized linear model. …”
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Knowledge, Attitude, and Practice of Medical Staff Towards Metabolic Syndrome in Schizophrenia in Chinese Hospitals: A Cross-Sectional Study by Wang Y, Yu X, Chen H, Tang C, Zhang N

“…Multivariate logistic regression identified several factors independently associated with practice: higher knowledge scores (OR = 1.16), positive attitude scores (OR = 1.09), being female (OR = 2.64), having ≥ 16 years of experience (OR = 3.24), and previous experience in managing patients with metabolic syndrome in schizophrenia (OR = 0.50). …”
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The role of proximal femoral bone, muscle and subcutaneous adipose tissue in the discriminating of hip fracture types in elderly women by Yangtong Li, Chenjun Liu, Jing Lu, Yuehua Li, Hui Sun

“…Conclusion Gluteus medius and minimus muscles (G.Med/MinM) area, FN aBMD, FN vBMD and body mass index are all important independent factors in discriminating between different types of HF in women, and BMD plays a more significant role in acute HF compared to the size or density of gluteal muscles.…”
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Association of SCN1A Gene Polymorphisms with Sodium Valproate Resistance in Pediatric Epilepsy: A Retrospective Case-Control Study by Wang H, Geng T, Deng N

“…Multivariate logistic regression was performed to identify factors associated with drug resistance.Results: Significant differences in SCN1A genotype distributions were observed among groups for five foci: rs166859148, rs166894396, rs166848482, rs166915162, and rs166870333-335 (P &lt; 0.05). …”
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Game Modeling Possibilities in Product Assortment Management by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

“…The relevance of the research topic is due to the need of manufacturers to improve the mechanisms for managing the range of manufactured products.The following materials and methods of game modeling were used in the study: designing a set of players, designing a set of player strategies, quantitative assessment of the elements of the payoff matrix, techniques for reducing the degree of uncertainty, methods for choosing optimal strategies under conditions of complete and partial uncertainty, as well as generalizing the experience of using game models in the analysis of various economic situations.The focus is on game modeling that complements the mathematical and statistical methods traditionally used to formulate an assortment policy: mathematical programming methods - the task of optimizing an assortment given resource constraints, such as budget and stocks of raw materials used in the production process; multi-criteria choice methods - the task of taking into account several criteria when making decisions on the product assortment, such as product quality, product price, product demand, etc.; statistical analysis methods (the task of analyzing available sales data and identifying trends - regression analysis to forecast demand for manufactured products, identify relationships between various factors, such as product demand and prices, marketing efforts, seasonality, etc.; cluster analysis to segment products and customers based on previously identified characteristics, such as customer preferences and age, as well as associative analysis to identify relationships between products - determining product groups that can be presented together in the assortment); methods of time series analysis and simulation modeling (the task of forecasting demand for products based on available sales data; the task of fictitious implementation of various assortment management scenarios and quantitative assessment of their consequences).Results. …”
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