Analyzing Influencing Factors of Uterine Rupture in Pregnant Women with Scarred Uterus Undergoing Repeat Delivery and Evaluating the Predictive Value of Lower Uterine Anterior Wall... by Zhang L, Li T, Zhang P, Li C

“…Liying Zhang,1,* Ting Li,1,* Pengming Zhang,1 Chunjuan Li2 1Department of Ultrasound Medicine, Zhangjiakou First Hospital, Zhangjiakou, Hebei Province, 075000, People’s Republic of China; 2Department of Obstetrics and Gynecology, Chongli Hospital, Peking University Third Hospital, Beijing, 076350, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ting Li, Email tgps643@163.comObjective: To analyze influencing factors of uterine rupture in pregnant women with a scarred uterus undergoing repeat delivery and to investigate the predictive value of transabdominal ultrasound measurement of lower uterine anterior wall thickness.Methods: A retrospective analysis of 159 pregnant women with scarred uterus (March 2022–May 2024) divided into rupture group (n=48) and non-rupture group (n=111). …”
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Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh. by Kazi Estieque Alam, Md Jisan Ahmed, Ritu Chalise, Md Abdur Rahman, Tasnia Thanim Mathin, Md Ismile Hossain Bhuiyan, Prajwal Bhandari, Delower Hossain

“…Monthly reported dengue cases were analyzed using time series forecasting techniques and multivariate Poisson regression models. …”
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LASSO regression-based nomogram for distinguishing nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis: a clinical risk prediction model by Wei Zhang, Tuantuan Li, Haiqing Liu, Xiaoyu Cao, Hao Yan, Yong Gao

“…By gathering clinical data and laboratory inflammation markers of the patients, key predictive factors were identified using LASSO regression. These factors were further analyzed through univariate and multivariate logistic regression analysis to determine the influencing factors of NTM-PD, thereby constructing a nomogram prediction model. …”
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Risk factors analysis of 90-day mortality in patients with sepsis in intensive care unit. by Yuntian Xu, He Zhang, Jiezhi Li, Nan Wang, Huifeng Yuan

“…<h4>Method</h4>This retrospective study included 123 sepsis patients admitted to a hospital in China from January 2015 to December 2018, clinical and abdominal CT data were compared between survivors and non-survivors, logistic regression and Cox regression analyses were performed on the abdominal CT data, Finally, survival curves for different skeletal muscle indices were analyzed using the Kaplan-Meier (K-M) method.…”
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Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu, Junsong Wang

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Factors influencing the cure of pseudolithiasis: a retrospective study of 264 patients by Leijiao Deng, Jie Deng

“…These findings provide a systematic analysis of potential predictive factors associated with the complete resolution of pseudobiliary stones, offering preliminary evidence for further optimization of personalized treatment strategies. …”
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Analysis of risk factors and construction of nomogram model for arthroscopic single-row rivet repair by Hao Fan, YuLong Ouyang, ShuiLin Chen, DeFei Zhao, GuiCai Sun

“…The differences of preoperative and postoperative Visual Analogue Score (VAS) scores and University of California, Los Angeles (UCLA) scores were analyzed and compared. The postoperative UCLA score of 29 points was taken as the critical point, and the patients were divided into good recovery group and poor recovery group, and binary logstic regression analysis was performed. …”
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Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents by Mayelyn Rodríguez Estenger, Nelsa María Sagaró del Campo, Larisa Zamora Matamoros, Evelyn Yolanda Fundichely Vázquez

“…<br /><strong>Conclusion:</strong> the implicative statistical analysis is a technique that complements the binary logistic regression in the identification of prognostic factors, which allows a better understanding of causality.…”
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Multimorbidity patterns in older adults from Northern Netherlands: comparing factor analysis and latent class analysis solutions by Rafael Ogaz-González, Qian Zou, Yihui Du, Luis Miguel Gutiérrez-Robledo, Ricardo Escamilla-Santiago, Malaquías López-Cervantes, Eva Corpeleijn

“…Complete data on 14 NCDs at two time points were analyzed, with multimorbidity defined as ≥ 2 NCDs. …”
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Analysis of Risk Factors and the Establishment of a Predictive Model for Thrombosis in Patients with Immune Thrombocytopenia by Hui Liang MD, Lingxue Duan BSc, Manyu Long BSc, Songyuan Tie BSc, Changyan Sun BSc, Sha Ma PhD, Jing Wang PhD, Shuya Wang BSc

“…Results Stepwise logistic regression analysis indicated that a high D-dimer level, a low PC (platelet count) and a high Padua score were independent risk factors for thrombosis in ITP patients. …”
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Examining the determinants of student academic performance in Somaliland: estimating unobserved effects at student and school levels using multi-level logistic regression by Mohamoud Jama Ali, Christophe Chesneau, Abdisalam Hassan Muse

“…The multi-level logistic regression analysis uncovers unobserved heterogeneity at the school level, suggesting the presence of hidden factors influencing student outcomes. …”
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Related Factor Analysis and Nursing Strategies of Diarrhea in Critically Ill Patients with Enteral Nutrition by Donglian Liu, Qinghong Liu, Xiansong Wen

“…By collecting clinical data, univariate and multivariate logistic regression analysis was used to screen the risk factors for diarrhea. …”
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Analysis of factors driving HPV vaccination coverage and associated cost savings in the united States by Shanshan Wang, Sanjana Muthukrishnan, Sabiha Quddus, Susan H. Manning, Heather M. Brandt

“…It also aimed to assess the potential cost savings from implementing certain recommended policy changes, aiming to boost HPV vaccination rates and subsequently lower HPV-related cancer cases. Methods We analyzed publicly available data on population demographics (e.g., children’s public insurance coverage status, parental education, and rurality), policy, and access (e.g., Medicaid income eligibility criteria for children, state-level vaccine requirement, vaccine exemption status, access to pediatricians, access to Vaccine for Children (VFC) providers, and meningococcal conjugate vaccine uptake among adolescents) to quantify the impact of these factors on HPV vaccination coverage using a multilevel regression analysis. …”
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Analysis of influencing factors and predictive model construction for platelet transfusion efficacy in hematological patients by Yu Zou, Tianhua Jiang, Yue Fan, Simin Liang, Long Lin, Mao Zheng

“…Potential PTR-related factors were initially identified through univariate analysis, followed by multivariate logistic regression to determine independent risk factors. …”
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Analysis of the influencing factors of endometrial implantation window displacement in the patients with repeated implantation failures by FU Pingfang, MO Dan, CEN Changshuang, LIANG Dingyu, CHEN Yuxin, ZHAO Hong, YANG Yihua

“…Univariate and multivariate logistic regression analysis were used to analyze the factors affecting the endometrial implantation window. …”
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A CPSO-BPNN-Based Analysis of Factors Influencing the Mental Health of Urban Youth by Hu Xiang, Yong-Hong Lan

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Comparing importance-performance analysis and three-factor theory in assessing rider satisfaction with transit by Jason Cao, Xiaoshu Cao

“…For the three-factor theory, the importance grid yields more plausible results than regression with dummy variables. …”
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Risk factor analysis of chronic kidney diseases using based on case control study by CHEN Zhi-hong, LU Chun-jian, YUAN Chang-jian, CAI Yu-chun, YI Wu-yong

“…Through the retrospective analysis of the clinical data and the questionnaire(the main content is the life state of the last year), the relevant risk factors that affect onset of CKD were analyzed, such as basic conditions, infection in the last year, hyperlipidemia, hypertension, diabetes, hyperuricemia,hyperuricemia, cardiovascular diseases. eating habits, sports habits,etc. …”
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Factors of treatment success in psychotherapy: a within-therapist analysis of early session processes by Yan Zhu, Mark J. Hilsenroth

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RISK FACTORS FOR PNEUMONIA IN ELDERLY INDONESIAN HAJJ PILGRIMS (DATA ANALYSIS OF SISKOHATKES 2023) by Alvina Diva Fitrianti, Chandrayani Simanjorang, Ulya Qoulan Karima, Fajaria Nurcandra

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