Risk Warning of Neutrophil‐to‐Lymphocyte Ratio for Neurological Recovery in Acute Ischemic Stroke After Thrombolysis: A Retrospective Study by Yiran Zhao, Xu Wang, Wenxiu Qin, Shaojing Shi, Min Wang, Jinsheng Zhang, Xin Zou, Junfeng Xu, Jing Li, Xuemin Shi

“…Results The LASSO regression suggests that increased disease duration and atrial fibrillation are risk factors for neurologic recovery, whereas prolonged treatment duration and increased NLR reduction value are protective factors. …”
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Predicting day-one mobility in partial nephrectomy patients using preoperative and intraoperative clinical parameters by Meijuan Xu, Qiuxuan Zhang, Xiaohui Mo, Yanmei Liu, Man Peng, Xuexia Ma

“…ObjectiveTo identify key factors influencing early postoperative ambulation in patients undergoing partial nephrectomy for renal tumors and to construct a predictive model for day-one ambulation based on these factors.MethodsThis retrospective study analyzed 137 patients who underwent partial nephrectomy for renal tumors at the Department of Urology, Sun Yat-sen Memorial Hospital, between October 2020 and June 2023. …”
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Modeling and validation of wearable sensor-based gait parameters in Parkinson’s disease patients with cognitive impairment by Guo Hong, Guo Hong, Fengju Mao, Fengju Mao, Mingming Zhang, Fei Zhang, Fei Zhang, Xiangcheng Wang, Kang Ren, Kang Ren, Zhonglue Chen, Zhonglue Chen, Xiaoguang Luo, Xiaoguang Luo

“…Baseline comparisons, univariate, and multivariate logistic regression analyses were performed to identify independent risk factors for cognitive impairment. …”
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Application of lacrimal gland herniation in judging the activity of thyroid-associated ophthalmopathy and predicting the efficacy of glucocorticoids by LI Biyun, LIN Jiating, ZOU Li, FENG Qianqiu, ZHANG Wu, WANG Xiaohong, DENG Hongrong, WANG Manman, ZENG Longyi, LIN Shuo

“…The influencing factors of efficacy were analyzed by multivariate Logistic regression analysis. …”
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Trends in dyslipidemia prevalence among Uyghur adults of different genders in China: a retrospective cohort study by Gulinigaer Maimaitituersun, Subinuer Jureti, Ziyu Yi, Yaqi Zhou, Meng Li, Mengwei Wei, Ziyang Liu, Menglong Jin, Zhenyan Fu

“…Group differences were analyzed using t-tests, ANOVA, and chi-square tests, the trend test for ordered categorical variables was conducted using univariate linear regression, and multivariable logistic regression was performed to explore risk factors for dyslipidemia. …”
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Development and validation of a nomogram prediction model for coronary heart disease in diabetic patients: a study based on the 2011–2020 NHANES database by Mengxue Wang, Wenjing Zhang, Jiaqi Li, Yujie Luan, Xuanye Ding, Yuanhui Hu

“…The least absolute shrinkage and selection operator (Lasso) regression analysis was used to screen risk factors, and a multivariate logistic regression model was developed to construct the DM-CHD nomogram prediction model. …”
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The impact of periodic leg movements during sleep on neurological recovery in patients with acute mild cerebral infarction by Shutong Sun, Yixi Zheng, Liwen Xu, Wenyi Yu, Tianyu Jing, Tianyu Jing, Gang Xu, Tieyu Tang, Cheng Chu

“…The correlation between sleep-related scales, polysomnography, and prognosis was analyzed using Spearman correlation analysis. Further, indicators related to prognosis (data with p < 0.05 in correlation analysis) along with age, hypertension, cholesterol, and radiate crown area cerebral infarction were included in a binary logistic regression analysis to assess factors affecting neurological function in patients with acute minor cerebral infarction after 3 months.ResultsA total of 766 patients were included, with 203 patients in the poor prognosis group. …”
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Treatment of elderly patients with acute myeloid leukemia: personal experience by L. T. Shimanovskaya, E. N. Misyurina, E. A. Baryakh, E. I. Zhelnova, K. V. Yatskov, T. S. Chudnova, T. N. Tolstykh, D. E. Gagloeva

“…A total of 40 patients were analyzed. To determine the risk factors for death, univariate and multivariate regression analyzes were performed using the logistic regression method. …”
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Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis by Li Xiao-mei

“…Objective To establish a nomogram of effectively predicting the occurrence of cardiac valve calcification（CVC）in elderly patients with chronic renal failure（CRF）on hemodialysis.Methods Retrospective analysis was performed for clinical data of elderly patients undergoing hemodialysis from December 2015 to December 2018,using single factor and Logistic regression for analyzing the independent risk factors of CVC and establishing the correlation Nomogram prediction model.Results Dialysis age ≥24 months（OR=7.488,95%CI 2.524～22.215）,diabetes mellitus（OR=6.256,95%CI 2.624～14.919）,pAlb <200 mg/L（OR=5.623,95%CI 1.965～16.091）,calcium & phosphorus product ≥ 55 mg²/dL²（OR=3.954,95%CI 1.679～9.311）,iPTH ≥100 ng/L（OR=6.883,95%CI 2.478～19.118）and C-reactive protein（CRP）≥5 mg/L（OR=3.422,95%CI 1.424～8.221）were independent risk factors for CVC in elderly CRF hemodialysis patients（P<0.05）.Based upon the above six independent risk factors, a nomogram model indicated that the predicted value was basically consistent with the actual value and C-index index was 0.878（95%CI 0.852～0.904）,indicating that this nomogram model had an excellent predictive capability.Conclusions Dialysis age ≥24 months, diabetes mellitus, pAlb <200 mg/L,calcium & phosphorus product ≥55 mg²/dL²,iPTH ≥100 ng/L and CRP ≥5 mg/L are independent risk factors for CVC in elderly CRF hemodialysis patients.The nomogram model can effectively predict the probability of CVC in elderly CRF hemodialysis patients.…”
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A nomogram to predict postoperative new-onset cerebral infarction after revascularization of moyamoya disease in adults and its validation: a retrospective study by Zhen Wang, Jiacheng Yu, Yu Zhang, Jiaping Ruan, Xiaojie Liu, Sijia Ma, Jun Xie, Mimi Wu, Jinhua Bo, Yu’e Sun, Yu’e Sun

“…Based on the risk factors of POCI after revascularization of adult MMD identified by logistic regression analysis and the corresponding regression coefficients, a nomogram was constructed. …”
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Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study by Jiang S, Zhao F, Liang Y, Wang S, Xu Q, Wang R, Wu T, Yang H

“…Model 1 incorporated all selected variables, while Model 2 emphasized clinically relevant factors. Discriminatory power, calibration, and clinical decision curve analysis were conducted for both models.Results: LASSO regression identified 14 key variables, reduced to 11 in Model 1 and 6 clinically relevant variables in Model 2. …”
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Tumor associated chromosomal instability drives colorectal adenoma to adenocarcinoma progression based on 17 year follow up evidence by Hui Li, Fang Yang, Bingjun Bai, Zhinong Jiang, Bing Li, Guoxiang Fu, Xiaotong Hu

“…Risk factors for adenocarcinoma development were identified through logistic regression analysis, and survival was assessed using Kaplan–Meier curves. …”
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A Study on the Association between Cough Sensitivity and Acute Exacerbations in Patients with Chronic Obstructive Pulmonary Disease by Haodong Bai, Shuangxi Wang, Bingxian Sha, Xianghuai Xu, Li Yu

“…Multivariate logistic regression analysis showed lgC5 (OR = 0.34, 95% CI = 0.16-0.71, p < 0.01) was an independent risk factor for AECOPD. …”
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The Relationship Between Diabetes Knowledge and Diabetes Self-Care Behaviors in Relation to Diabetes Distress in Type 2 Diabetes Mellitus: A Cross-Sectional Study in Eastern Taiwan by Chen YC, Huang YH, Lee CH

“…The study examines the correlation between diabetes knowledge, diabetes self-care behaviors, and diabetes distress, as well as other influencing factors. The data analysis methods include (1) differences in diabetes knowledge, diabetes self-care behaviors, and diabetes distress scores, analyzed using t-tests or ANOVA, (2) Scheffe’s tests for significant differences identified by ANOVA to locate group differences in means, and (3) multiple regression analysis to identify key predictive factors of diabetes distress.Results: The findings reveal that both diabetes knowledge (β=− 0.046, p=0.029) and diabetes self-care behaviors (β=− 0.186, p=0.006) significantly predict diabetes distress. …”
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Developmental trajectories of maternal fear of childbirth at different times: a prospective longitudinal study by Qian Jing, Jiang Jie, Xu Ke, Yang Liu, Deng Xiumin, Li Xiuchuan, Li Jinzhi

“…The study subjects completed the W-DEQ A questionnaire to assess their prenatal fear of childbirth in early, mid, and late pregnancy, and the W-DEQ B questionnaire to assess their postnatal fear of childbirth in the postpartum period, and finally, the data were compiled and analyzed by using one-way analysis of variance, latent category growth model, and multivariate logistic regression analysis. …”
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Self-reported musculoskeletal disorders of the distal upper extremities and the neck in German veterinarians: a cross-sectional study. by Agnessa Kozak, Grita Schedlbauer, Claudia Peters, Albert Nienhaus

“…A total of 3174 (38.4%) veterinarians responded. Logistic regression analysis was used to determine the association between risk factors and MSD-related impairment of daily activities.…”
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Volunteering in adaptive sport: effects of altruistic and egoistic motivation on performance and sustained intention by Keunsu Han, Kyoung Tae Kim

“…A total of 212 valid responses were included in the analysis. To address the study's objectives, data were analyzed using frequency and descriptive statistics, correlation analysis, exploratory factor analysis (EFA), reliability testing, and multiple regression analysis.ResultsThe results indicate that Organization Attachment (OA), Volunteer Attachment (VA), and Internal Benefits (IB) had a positive effect on volunteers' in-role performance, while External Benefits (EB) showed no significant impact. …”
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A business model optimization study of Macao’s urban space and historic districts by Gengrui Li

“…A questionnaire survey and linear regression analysis method are adopted to explore the key factors affecting the development of the block’s business model, identify and solve the development imbalance caused by the single business model and insufficient cultural protection. …”
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Exploring vaccination attitudes in African communities in Canada: A mixed-methods study protocol. by Obidimma Ezezika, Zantae Pellitier, Sonia Muhimpundu, Christian Daboud, Meron Mengistu, Omolola Olorunbiyi, Christian Hines, Mekoya Wondrad, Joanne Kearon, Reforce Okwei, Kingsley Anukam, Dominic Alaazi, Godwin Arku

“…The quantitative data will be analyzed using logistic regression to explore how socio-cultural influences, trust, and accessible information impact vaccine hesitancy.…”
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Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non‐small cell lung cancer patients at a lung cancer center in China by Shuyang Yao, Ruotian Wang, Kun Qian, Yi Zhang

“…Potential influenced factors were also analyzed. Results Overall, the treatment recommendations were concordant in 73.3% (121/165) of cases. …”
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