Construction of immune-related risk signature for uveal melanoma by Zhaotian Zhang, Yao Ni, Genghang Chen, Yantao Wei, Manjuan Peng, Shaochong Zhang

“…The Kaplan–Meier analyses found for these patients in the high-risk group had a poor survival rate than those in the low-risk group. The predictive value and stability were confirmed by the receiver operative characteristics curves. …”
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Evaluation of inflammatory parameters in patients with hepatic hydatid disease by Zhijia Fan, Yao Hu, Li Wang, Haoqin Jiang, Dandan Li, Hui Zhao, Zhicheng Wang

“…The levels of inflammatory parameters were compared in the patient and control group, the predictive value of these inflammatory parameters was assessed by the logistic regression analysis and receiver operating characteristic curve, and differences between pre- and post-surgical operations were compared by pair tests.Results Significantly higher levels of platelet distribution width (PDW), eosinophil percentage (EOS %), neutrophil to lymphocyte ratio (NLR), gamma-glutamyl transpeptidase to platelet ratio (GPR) and alkaline phosphatase to platelet ratio (APPR) and lower levels of platelet (PLT) and prognostic nutritional index (PNI) were observed in patients than in controls. …”
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The relationship between liver stiffness, fat content measured by liver elastography, and coronary artery disease: a study based on the NHANES database by Shengnan Li, Xiaoxue Li, Hua Xiao, Jingjing Dou

“…Finally, predictive models were developed using logistic regression, decision trees, XGBoost classifiers, and neural networks to assess the predictive value of LSM and CAP for CHD risk. During the study period, 12,684 participants were included, of whom 539 (4.24%) were diagnosed with CHD. …”
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mNUTRIC score as a predictor of the lethal outcome in critically ill patients with COVID-19: systematic review and meta-analysis by A. O. Sivkov, N. P. Shen, I. N. Leyderman, O. G. Sivkov

“…The objective was to assess the predictive value of nutritive risk mNUTRIC score in relation to the lethal outcome in ICU patients suffering from COVID-19.Materials and methods. …”
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Continuous beta-2 microglobulin–based clearance highlights superiority of high-Dose HDF over high-flux HD in predicting outcomes by Bernard Canaud, Andrew Davenport, Marion Morena-Carrere, Mailis Amico, Nicolas Molinari, Jean-Paul Cristol

“…Moreover, eCDCß2M demonstrated superior predictive value for mortality risk compared to Kt/V. These findings support eCDCß2M as a meaningful and physiologically relevant measure of dialysis efficiency and adequacy. …”
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Relationship between inflammatory markers and long-term prognosis in ICU patients with acute non-ST-segment elevation myocardial infarction by Yanze Li, Hongjin Jin, Guolin Zhang, Yangyou Zhang, Yanchun Ding

“…The long-term prognostic prediction model constructed for NSTEMI patients based on the aforementioned associations demonstrates high clinical predictive value.…”
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Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions by Juan Pablo Botero-Aguirre, MS, Michael Andrés García-Rivera, MS

“…Conclusion: The BERT-based model trained on Spanish-language corpora–based NER model demonstrated strong performance in identifying nonallergic cases (specificity, 99.98%; negative predictive value, 99.97%) and showed promise for clinical decision support. …”
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The Prognostic Nutritional Index (PNI) Is a Powerful Biomarker for Predicting Clinical Outcome in Gastrointestinal Emergency Patients: A Comprehensive Analysis from Diagnosis to Ou... by Ramazan Kıyak, Bahadir Caglar

“…Objective: This study aimed to evaluate the relationship between the Prognostic Nutritional Index (PNI) and demographic characteristics, presenting complaints, clinical diagnoses, and patient outcomes in patients admitted to the emergency department for gastrointestinal (GI) emergencies. The predictive value of PNI for the clinical course of patients with GI emergencies was investigated. …”
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Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma by Yongheng Chen, Xiaoxia Yu, Wencan Xu, Anqi Huang, Zhengbing Li

“…Methods An integrative approach incorporating 10 machine learning methods was employed to develop an obesity and aging-related signature (ORS) using data from the TCGA, GSE15459, GSE26253, GSE62254, and GSE84437 datasets. To assess the predictive value of ORS for immunotherapy benefits, we utilized several indicating scores and three immunotherapy datasets (GSE91061, GSE78220, and IMvigor210). …”
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Interleukin biomarkers as predictive tools for lupus nephritis grade and disease activity in systemic lupus erythematosus by Dalia S. Saif, shimaa Abdelsattar, Enas S. Zahran, Mohammed Khalil, Sanaa Samir, Hend E. Abo Mansour

“…Objectives: To investigate the predictive value of IL-17, IL-23, and IL-10 biomarkers in detecting lupus nephritis (LN) class in SLE cases. …”
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Value of two⁃dimensional speckle tracking echocardiography in predicting subclinical cardiac involvement in patients with immunoglobulin light⁃chain cardiac amyloidosis by DAI Lujia，QIAN Xiaodong，LI Yiyang

“…Receiver operating characteristic（ROC）curves were plotted to analyze the predictive value of 2D ⁃ STE parameters for subclinical cardiac involvement in AL⁃CA patients. …”
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Comprehensive multi-omics pan-cancer analysis revealed EGFLAM as a potential prognostic and immune infiltration-associated biomarker by Jian Yang, Wenqian Xu, Shengyu Wang, Zhu Yu, Yue Feng, Da Li, Junqiang Chen

“…It also demonstrated prognostic predictive value in several cancer types, suggesting its potential as a prognostic biomarker. …”
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Muscle thickness from amplitude mode ultrasound and clinical outcomes in patients with cancer by Rodrigo Albert Baracho Rüegg, Jarson P. Costa-Pereira, Amanda de Sousa Rebouças, Agnes Denise de Lima Bezerra, Nithaela Alves Bennemann, Jadson Gomes Xavier, Ana Paula Trussardi Fayh

“…Each millimeter increase in BMT reduced 30-day mortality risk by 9% (95% CI 0.85–0.96) and 6-month mortality risk by 6% (95% CI 0.91–0.98). TMT had no predictive value. BMT measured by A-mode ultrasound is a predictor of poor survival in cancer, highlighting its value as a bedside tool for early risk identification and timely interventions. …”
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Frailty and nutritional assessments for predicting postoperative complications in older adults undergoing non-cardiac surgery by Sunisa Chatmongkolchart, Mantana Saetang, Panalee Kittisopaporn, Thitikan Kunapaisal, Dararat Yongsata, Khwanrut Sukitpaneenit

“…We aimed to evaluate the predictive value of frailty, malnutrition, and their combined effect on postoperative complications in older patients undergoing intermediate- to high-risk non-cardiac surgery.MethodsThis study was a retrospective analysis of data from a prospectively collected cohort that included 637 patients aged ≥60 years. …”
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Outcome prediction of sepsis-induced acute kidney injury by plasma endostatin: prospective observational study by Farouk Mostafa Faris, Mahmoud Mostafa, Rania Mostafa Elhoseiny, Walid Omar Ahmed

“…Aim of work To evaluate the predictive value of plasma endostatin for renal recovery and its correlation with ICU stay and mortality in sepsis-induced AKI in patients admitted to the ICU. …”
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Informational Value of Proadrenomedullin Blood Levels in Patients with Septic Shock, Once Measured Upon Admission to ICU by V. А. Rudnov, А. V. Moldovanov, M. N. Аstafieva, E. Yu. Perevalova, V. А. Bagin, S. M. Rozanova

“…The ROC analysis showed comparable predictive value with APACHE II, SOFA and lactate scales in patients with septic shock with cut-off > 4.23 nmol/L. …”
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The use of fluorescence spectroscopy in combination with fluorescence vizualization for cystoscopy by А. А. Teplov, E. V. Filonenko, B. Ya. Alekseev, R. V. Ulianov, Yu. Yu. Andreeva

“…Local fluorescence spectroscopy combined with visual assessment of fluorescence image allowed to increase specificity of cystoscopy from 70% to 85%, total accuracy – from 80% to 86%, with improvement of predictive value for positive result from 0,67 to 0,94.…”
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Predictive Modeling of Heart Failure Outcomes Using ECG Monitoring Indicators and Machine Learning by Jia Liu, Dan Zhu, Lingzhi Deng, Xiaoliang Chen

“…Objective We evaluated the predictive value of electrocardiogram (ECG)–derived features and developed an ML model to stratify HF risk. …”
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Troponin, NT-proBNP and postoperative atrial fibrillation in a prospective cohort undergoing coronary artery bypass surgery by Amelie H. Ohlrogge, Ferdinand Seum, Korbinian Ruhland, Francisco M. Ojeda, Christin S. Börschel, Simon Pecha, Stefan Blankenberg, Tanja Zeller, Renate B. Schnabel

“…The existing evidence on the predictive value of preoperative high-sensitive Troponin and NT-proBNP concentration for the onset of postoperative atrial fibrillation (POAF) is inconsistent. …”
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Comparison of Finger Flexor Strength and Muscle Quality Between Climbers and Non-Climbers: Influence of Sex and Grip Type by Diego González-Martín, Javier Santos-Pérez, Sergio Maroto-Izquierdo, José Antonio de Paz, Ángel Gallego-Selles

“…Future research should further explore the predictive value of MQ and strive for standardized testing protocols.…”
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