Different predictive value for short-term all-cause mortality with commonly used biomarkers regarding the cause of pulmonary embolism by Jovanović Ljiljana, Subota Vesna, Stavrić Milena, Džudović Boris, Subotić Bojana, Novčić Nataša, Mirić Milica, Matijašević Jovan, Nikolić Maja, Miloradović Vladimir, Salinger Sonja, Marković-Nikolić Nataša, Kos Ljiljana, Preradović-Kovačević Tamara, Obradović Slobodan

“…Methods. This retrospective analysis was gained from the data of 590 PE patients from the Serbian University Multicenter Pulmonary Embolism Registry (SUPER). …”
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Discordances in Kinetic Energy Between the Superior Cavopulmonary Connection and Single Ventricle Are Associated With Suboptimal Fontan Outcomes: A Pre‐Fontan 4‐Dimensional Flow St... by Jacqueline Contento, Mithra Agamy, Maren Brinken, Ryan O'Hara, Nicholas Mouzakis, Janet Kruetzer, Rittal Mehta, Roland Axt‐Fliedner, Elias Balaras, Francesco Capuano, Ravi Vegulla, Yves d'Udekem, Yue‐Hin Loke

“…Four‐dimensional flow data sets were analyzed using ITFlow (CardioFlowDesign) to measure KE/viscous energy loss in the atrium, SV, and SCPC. …”
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Methods of Surgical Treatment of Combined Stenosis of the Carotid and Coronary Arteries. Systematic Review by A. A. Abdurakhmanov, N. M.-U. Sultanbayeva, L. F. Samarkhodzhayeva, Sh. Z. Umarova, S. Ch. Dzhalalov, D. Kh. Dzhalalova

“…The mortality rate after simultaneous and staged interventions was 3.9% and 3.6%, respectively, with a fairly high spread in the study groups (p=0.5). Data analysis showed that simultaneous interventions did not affect the incidence of neurological, cardiac complications, and deaths (OR (odds ratio) 1.02; 95% CI (confidence interval) — 0.98–1.14, p = 0, 69; OR — 1.26; 95% CI — 0.66-2.41; p=0.48; and OR — 0.97; 95% CI — 0.67-1.38; p=0.85 — respectively).Conclusion. 1. …”
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Comparison of clinical efficacy between da Vinci® robotic surgery and laparoscopic surgery for rectal cancer: a report of 550 cases by Zhang Cheng, Ma Rui, Duan Fuxiao, Gao Guangrong, Li Da

“…[Methods] A retrospective analysis was conducted on the clinical data of 550 patients who underwent radical resection of rectal cancer in the Department of General Surgery, General Hospital of Northern Theater Command of People’s Liberation Army, from January 2015 to June 2020. …”
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Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…Traditional technologies are now integrated with artificial intelligence techniques, such as big data analysis and visualization algorithms, enabling more precise and personalized treatment services that effectively alleviate the symptoms of Cyber-syndrome. …”
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New Onset of DiabetEs in aSsociation with pancreatic ductal adenocarcinoma (NODES Trial): protocol of a prospective, multicentre observational trial by Péter Hegyi, Andrea Szentesi, Katalin Márta, László Czakó, Noémi Zádori, Dóra Illés, Emese Ivány, Gábor Holzinger, Klára Kosár, M Gordian Adam, Beate Kamlage, Gábor Zsóri, Máté Tajti, Márk M Svébis, Viktor Horváth, Ilona Oláh, Szilárd Váncsa, Bálint Czakó

“…The proposed screening programme may allow the detection of PDAC in the early, operable stage. Diagnosing more patients in the curable stage might decrease the morbidity and mortality rates of PDAC and additionally reduce the burden of the healthcare.Methods and analysis This is a prospective, multicentre observational cohort study. …”
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Putative function and prognostic molecular marker of mast cells in colorectal cancer by Jiani Guo, Jie Chen, Yiting Wang, Xiaoming Bai, Haimei Feng, Siqi Sheng, Hongyu Wang, Ke Xu, Mengxi Huang, Zengjie Lei, Xiaoyuan Chu

“…Least absolute shrinkage and selection operator (LASSO) regression analysis and Cox regression analysis of mast cell markers were performed in the TCGA-COAD cohort to construct a prognostic classification model. qRT-PCR was performed to detect the mRNA expression of the molecules in the classification model in P815 and MC-9 cells. …”
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Construction of a predictive model for depressive symptoms following acute myocardial infarction and its impact on prognosis by Lei Ren, Hongqi Wang, Xin Su, Yangyang Yang, Yuanzhuo Zhang, Xiaoyan Yin, Dapeng Zhang, Guangquan Hu, Bin Ning

“…ObjectiveTo construct a predictive model for depressive symptoms following acute myocardial infarction (AMI) and analyze its impact on patient outcomes.MethodsA retrospective analysis was conducted on the clinical data of 216 patients who successfully underwent percutaneous coronary intervention (PCI) for AMI at the hospital from January 2022 to June 2023. …”
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Association between creatinine-to-albumin ratio and mortality in intracerebral hemorrhage: a superior predictive indicator by Yuhong Guo, Qiaoyu You, Peng Wang, Jun Wan, Sen Zhang, Shijie Fan, Yikang Ouyang, Xiang Yuan, Tiangui Li, Cuyubamba Dominguez Jorge Luis, Yu Zhang

“…Restricted cubic splines further supported this positive dose–response relationship. Receiver operating characteristic analysis showed that the creatinine-to-albumin ratio outperformed the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in prognostic performance, especially in predicting in-hospital mortality (AUC = 0.74). …”
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Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses by Dan Zheng, Dan Zheng, Xuan Pu, Xuan Pu, XuHui Deng, XuHui Deng, Cui Liu, Cui Liu, SiJun Li, SiJun Li

“…Therefore, this study aimed to identify metabolism-related LCA subtypes through a comprehensive analysis of transcriptomic, mutational, methylation, and single-cell RNA sequencing, in hopes of finding factors which influences the prognosis of LCA.MethodsFirst, to identify metabolism-related LCA subtypes, data from 114 patients with LCA from The Cancer Genome Atlas (TCGA) dataset were collected for an unsupervised clustering analysis, which focused on the expression characteristics of survival-related metabolic genes. …”
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Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients by Jae Hun Chung, Jae Hun Chung, Jae Hun Chung, Yushin Kim, Dongjun Lee, Dongwon Lim, Dongwon Lim, Dongwon Lim, Sun-Hwi Hwang, Sun-Hwi Hwang, Sun-Hwi Hwang, Si-Hak Lee, Si-Hak Lee, Si-Hak Lee, Woohwan Jung

“…One hundred eighty-nine features were extracted from each patient record, including demographic data, preoperative comorbidities, and blood test outcomes from the subsequent seven postoperative days (POD). …”
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Explainable machine learning for predicting distant metastases in renal cell carcinoma patients: a population-based retrospective study by Zhao Hou, Zhao Hou, Peipei Wang, Peipei Wang, Dingyang Lv, Dingyang Lv, Huiyu Zhou, Huiyu Zhou, Zhiwei Guo, Zhiwei Guo, Jinshuai Li, Jinshuai Li, Mohan Jia, Mohan Jia, Hongyang Du, Hongyang Du, Weibing Shuang, Weibing Shuang

“…Model performance was assessed using metrics such as the area under the receiver operating characteristic curve (AUC), the area under the precision-recall curve (AUPRC), decision curve analysis, calibration curves, precision, and accuracy. …”
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Hormone Receptor‐Dependent Correlations Between Angiopoietins and VEGF‐C in Primary Breast Cancer: Insights Into Lymphangiogenic Biomarkers by Vahid Montazeri, Parisa Varshosaz, Ashraf Fakhrjou, Saeed Pirouzpanah

“…Receiver operating characteristic (ROC) curve analysis indicated that ANG‐2 could effectively assess ALNM status, with an optimal cutoff of 3.39 pg/mL, identifying ALNM in 66.0% of patients with low VEGF‐C levels (95% CI: 0.54–0.78), increasing to 68.0% when combined with ANG‐1 as the ANGs/Tie‐2 ratio (95% CI: 0.56–0.80). …”
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Novel non-curable resection prediction model for early colorectal cancer following endoscopic submucosal dissection based on inflammatory immune index by Xiunan Li, Lei Zhang, Biao Xu, Shu Ding, Jing Wang, Jing Wang, Yu Jia

“…We sought to explore the predictive ability of SII for non-curative resection of early colorectal cancer treated with ESD, and to establish a related predictive model.MethodsA retrospective analysis was performed on data from patients with early-stage colorectal cancer who underwent ESD in our hospital between January 2019 and December 2022. …”
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ECONOMIC GROWTH UNDER THE INFLUENCE OF TECHNICAL AND TECHNOLOGICAL CHANGES OF INDUSTRY 5.0 by Kateryna Kraus, Nataliia Kraus, Yuliia Radzikhovska

“…They allow for a qualitative comparative analysis of countries and regions in terms of their technological activity and the identification of factors of leadership or lagging. …”
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Retos en la gestión del talento humano: el papel del marketing interno en tiempos desfavorables - Challenges in talent management: The role of internal marketing in adverse times by Francia Contreras García, Tania Elena González Alvarado, Pablo Cabanelas Lorenzo

“…Methodology: researchers administered a 20-item Likert-scale questionnaire to a sample of 802 employees from a multinational corporation operating in an emerging market. The data underwent analysis using regression techniques. …”
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Optimization and Multimachine Learning Algorithms to Predict Nanometal Surface Area Transfer Parameters for Gold and Silver Nanoparticles by Steven M. E. Demers, Christopher Sobecki, Larry Deschaine

“…The results improved the calculation, but further analysis needed to be conducted in order to find any additional missing physics. …”
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Prognostic significance of T cells and NK cells in osteosarcoma: a dual-center retrospective study by Kai Luo, Haijun Tang, Weijie Yan, Shanhang Li, Xiaoting Luo, Mingxiu Yang, Feicui Li, Jiming Liang, Shijie Liao, Yun Liu, Juliang He, Dehuai H. Liu

“…Methods This study retrospectively analyzed the clinical data and preliminary laboratory indicators of patients with OS admitted from dual-center between January 2014 and January 2021. …”
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DNA Barcoding of Shark and Ray Species from Bawean and Masalembu Waters East Java by Marita Ika Joesidawati, Nining Nursalim, Nenik Kholilah, Marandi Eko Wibowo, Ni Kadek Dita Cahyani

“…The study underscores the importance of incorporating genetic diversity data into conservation strategies to protect these ecologically vital species in Indonesia.     …”
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The Diagnostic Value of Bile Acids and Amino Acids in Differentiating Acute Coronary Syndromes by Yu Q, Zhao F, Wang S, Jia X, Shen S, Zhao X, Li Y, Song J, Sun M, Liu X, Liu Z

“…Diagnostic value and clinical benefits were assessed using receiver operating characteristic (ROC) curves, decision curve analysis, and metrics such as the area under the curve (AUC), integrated discrimination improvement (IDI), and net reclassification improvement (NRI).Results: Orthogonal partial least squares discriminant analysis (OPLS-DA) of serum BAs and AAs effectively differentiated NCAD, UA, and AMI groups. …”
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