Barriers to Long-Term Adherence in Botulinum Toxin Therapy for Post-Stroke Spasticity: Insights and Implications from a Single-Center Study in North Italy by Ester Cecchella, Nicola Luigi Bragazzi, Filippo Cotellessa, William Campanella, Luca Puce, Lucio Marinelli, Antonio Currà, Cristina Schenone, Laura Mori, Carlo Trompetto

“…This retrospective observational study analyzed 106 patients undergoing botulinum toxin therapy for post-stroke spasticity to identify the key factors influencing treatment continuation. …”
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Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation by Wanli Xiong, Qiqi Cao, Lu Jia, Min Chen, Tao Liu, Qingyan Zhao, Yanhong Tang, Bo Yang, Li Li, Shaobo Shi, He Huang, Congxin Huang, China Atrial Fibrillation Center Project Team

“…LAT incidence was assessed, and potential risk factors were analyzed. Machine learning algorithms, including decision tree, random forest, AdaBoost, k-Nearest Neighbor, and logistic regression, were employed to develop a predictive model for LAT. …”
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Coverage disparities and delayed immunization: Assessing 12-month vaccination completion in Canadian children using data from a digital immunization platform by Mohamed Serhan, Adhiba Nilormi, Blaise Ntacyabukura, Katherine Atkinson, Robin Ducharme, Steven Hawken, Tim Ramsay, Joyce Ang, Kumanan Wilson

“…We conducted bivariate and multivariate logistic regression analyses to investigate associations between factors such as account holder gender, active integration of vaccine record with a public health unit (PHU) and inclusion of linked records in CANImmunize, with vaccination coverage. …”
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Risk of zoonotic diseases among veterinary students in Nigeria: a multi-institutional national cross-sectional survey by Ibraheem Ghali-Mohammed, Ayomide Samuel Afolayan, Akeem Adebola Bakare, Ridwan Olamilekan Adesola, Tajudeen Opeyemi Isola, Uduak Akpabio, Selim Adewale Alarape, Shuaibu Gidado Adamu, Nma Bida Alhaji, Ismail Ayoade Odetokun

“…A total of 637 students responded to the survey. Data were analyzed using descriptive statistics, chi-square tests, and multivariate logistic regression. …”
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Integrating radial growth response of Himalayan cedar to climate change in the mountainous region of Shogran Valley, Pakistan by Zargham KHAN, Sohaib MUHAMMAD, Muhammad TAYYAB, Hassan NAWAZ, Amir ALI, Muhammad JAWAD TARIQ KHAN, Tahira KHALID, Muhammad BILAL, Muhammad HASNAIN

“…Based on earlywood, latewood and total ring widths, chronologies were developed, analyzed and correlated with climate factors using standard dendrochronological software. …”
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Pan-immune-inflammation value is associated with poor prognosis in patients undergoing peritoneal dialysis by Fengping Zhang, Luohua Li, Xianfeng Wu, Yueqiang Wen, Xiaojiang Zhan, Fenfen Peng, Xiaoyang Wang, Qian Zhou, Xiaoran Feng

“…The Kaplan–Meier method, a Cox proportional hazards regression, Fine–Gray competing risk model, smooth curve, and subgroup analysis were used to analyze the independent relationship between PIV and the prognosis of patients undergoing PD.Results A total of 2796 cases of PD were included, and the study population was divided into Tertiles 1, 2, and 3, according to the tertiles of baseline PIVs. …”
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Association between weight-adjusted-waist index and the prevalence of gallstone disease in Minhang District, Shanghai: a cross-sectional study by Jian Wang, Zixuan Zheng, Hongyu Tan, Shan Wei, Yufeng Gu, Yingsheng Cheng, Chengyan Xu, Wei Wang

“…WWI was calculated, and its association with GSD was analyzed using logistic regression models, adjusting for confounders such as age, gender, and comorbid conditions. …”
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Risks of neonatal anomalies and obstetric complications in 7378 singleton births after frozen–thawed and fresh embryo transfers in Japan: An analysis using doubly robust estimation... by Sanae Terada, Toshihiro Habara, Ryo Terada, Toshiharu Mitsuhashi, Ryuhei So, Nanako Yoshioka, Yumi Masumoto, Yukiko Kosaka, Rei Hirata, Nobuyoshi Hayashi

“…Outcomes were compared using inverse probability weighting regression adjustment, with adjustment for maternal factors. …”
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Serum expression of ESM-1 and Syndecan-1 and its relationship with disease severity in children with Mycoplasma pneumoniae pneumonia by Yanjuan Yu, Yanyan Su, Xiuhong Jin, Xiangfeng Zhang, Yeran Yang, Yuelin Shen

“…The correlation between ESM-1 and Syndecan-1 levels with inflammatory markers and coagulation markers was analyzed. Multivariate logistic regression analysis was conducted to identify significant risk factors for Severe Mycoplasma pneumoniae pneumonia (SMPP). …”
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Multi-omics approach reveals the impact of prognosis model-related genes on the tumor microenvironment in medulloblastoma by Dongming Han, Dongming Han, Xuan Chen, Xuan Chen, Xin Jin, Jiankang Li, Dongyang Wang, Dongyang Wang, Ziwei Wang

“…Single-cell analyses revealed the expression dynamics of TMErisk genes across cell types, including macrophages, T cells, and NK cells, and identified key regulatory transcription factors. Spatial transcriptomics showed significant clustering of TMErisk genes in tumor regions, highlighting spatial heterogeneity and the formation of immune hubs.ConclusionsThe TMErisk model enhances our understanding of the MB tumor microenvironment, serving as a robust prognostic tool and suggesting new avenues for targeted therapy.…”
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The link between red blood cell distribution width and 3-month prognosis in acute ischemic stroke patients: a secondary analysis of a cohort study by Qin Xiong, Dong Kang, Shu-ming Xiong, Dong-ping Wu, Xin Luo, Wen-pei Zhang, Jing Tang, Zheng-guang He

“…Following adjustment for confounding factors, RDW was positively correlated with poor 3-month outcomes in these individuals with AIS (OR = 1.12, 95% CI; 1.03–1.23, P = 0.0120). …”
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Carbapenem-resistant Enterobacterales bloodstream infections related to death in two Brazilian tertiary hospitals by Lorena Galvão de Araujo, Kehvyn Cedeño, Adriele Pinheiro Bomfim, Marcio de Oliveira Silva, Ana Verena Mendes, Maria Goreth Barberino, Edilane Lins Gouveia, Fabianna Márcia M. Bahia, Mitermayer Galvão dos Reis, Joice Neves Reis

“…Objective To describe the lethality rate and epidemiological and clinical characteristics of BSI patients with Enterobacterales BSI and assess carbapenem resistance to identify major risk factors for CRE infection and lethality. Methods This prospective laboratory-based surveillance study, which was conducted in two tertiary hospitals (April 2016–December 2018), analyzed BSI cases caused by Enterobacterales. …”
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Association between the Stanford Integrated Psychosocial Assessment for Transplant and 1‐year medication nonadherence after living kidney transplantation by Kosuke Takano, Sayaka Kobayashi, Hidehiro Oshibuchi, Junko Tsutsui, Satoko Ito, Rumiko Kamba, Rie Akaho, Katsuji Nishimura

“…Participants completing both SIPAT‐J and BAASIS© evaluations (n = 111) were analyzed. Multivariable logistic regression analysis was conducted to examine the relationship between SIPAT scores and MNA, adjusting for age, sex, and employment status. …”
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The role of fear of intimacy and loneliness in predicting of academic enthusiasm in medical science students: a cross-sectional study from the Iran by Mohammad Reza Asadi, Mojtaba Senmar, Zahra Shafiei kisomi, Zahra Hosseinkhani, Amir Ehsan Ahmadi, Mohammad Mozafari, Faraz Oustam, Ali Ahmadieh

“…Abstract Background Academic enthusiasm is one of the most effective factors in achieving the best in students’ education. …”
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Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity. by Dora Romaguera, Lars Angquist, Huaidong Du, Marianne Uhre Jakobsen, Nita G Forouhi, Jytte Halkjaer, Edith J M Feskens, Daphne L van der A, Giovanna Masala, Annika Steffen, Domenico Palli, Nicholas J Wareham, Kim Overvad, Anne Tjønneland, Heiner Boeing, Elio Riboli, Thorkild I A Sørensen

“…Hence, the objective of the present study was to assess the association between dietary factors and prospective changes in visceral adiposity as measured by changes in the phenotype WC(BMI).…”
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The relationship between fear of death and nurses' moral performance in the COVID-19 pandemic by Sahel Darderafshi, Arezou Karampourian, Salman Khazaei, Mahnaz Khatiban

“…The data were collected using a checklist of demographic information, the Robert Templer Death Anxiety Scale, and the Asahara Moral Performance Questionnaires. Data were analyzed using t-test, Pearson correlation and linear regression analysis using SPSS 22 software. …”
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Comparative analysis of methods for identifying multimorbidity patterns among people with opioid use disorder: A retrospective single-cohort study. by Myanca Rodrigues, Tea Rosic, Glenda Babe, Brittany B Dennis, Alannah McEvoy, Richard Perez, Claire de Oliveira, Sameer Parpia, Zainab Samaan, Lehana Thabane

“…Sociodemographic and clinical characteristics were analyzed using modified Poisson regression models, and multimorbidity patterns were identified through HCA and K-means clustering.…”
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Assessing household, plant-based, and animal-based dietary diversity and their determinants among Sundarbans mangrove forest resource-dependent communities in Bangladesh by Md. Tanvir Hossain, Tunvir Ahamed Shohel, Md. Nasif Ahsan, Md. Nazrul Islam

“…Thus, this endeavor attempts to assess the HDDS, P-BDDS, and A-BDDS of SMFRDCs and identify the factors associated with these measures of dietary diversity. …”
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Glymphatic dysfunction in moyamoya disease: The influence of arterial stenosis and ventricular enlargement by Duo Xu, Linglin Yang, Biao Jiang, Xinfeng Yu

“…The relationships between arterial stenosis, ventricular size, and ALPS index were analyzed using multivariable linear regression analyses. …”
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Rabies knowledge and prevention practices in Gombe state, Nigeria: a community-based comparative cross-sectional study of rabies hotspot and non-hotspot areas by Eugene Chidi Eugene, Pius Odunze, Bile Nuhu, Olukemi Titilope Olugbade, Mishel Dauda, Abiodun Egwuenu, Olugbemisola W. Samuel, Hilary I. Okagbue

“…However, a higher proportion of respondents from non-hotspot areas exhibited better rabies prevention practices, particularly in terms of vaccinating their dogs within the previous year. Factors such as older age (AOR: 0.47, 95% CI: 0.27– 0.84), farming occupation (AOR: 0.48, 95% CI: 0.27 – 0.84), and good overall rabies knowledge (AOR: 3.04, 95% CI: 1.37 – 6.73) were significant predictors of rabies prevention practices in the hotspot area. …”
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