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1021
Features on contrast-enhanced computed tomography for predicting recurrent esophageal variceal bleeding in patients with hepatocellular carcinoma
Published 2025-08-01“…Results The size of submucosal EVs larger than 9.5 mm was identified as the independent risk factor for recurrent EV bleeding in the next 6 months (the area under a receiver operating characteristic curve, AUROC: 0.816, P < 0.001) with 81.1% sensitivity and 80.0% specificity. The positive predictive value was 81.1%, indicating that high-risk EVs were 1.8 times more likely to bleed within the next six months. …”
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1022
Rapid serotype-independent differential detection of biofilm-positive and biofilm-negative Salmonella using Fourier transform infrared biotyping
Published 2025-06-01“…While food-safety and public health investigation primarily focus on Salmonella identification and source tracing, they often overlook the biofilm-forming capacity of isolates, limiting their predictive value for risks posed by biofilm producing Salmonella. …”
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1023
Sleep behaviors and metabolic-associated fatty liver disease.
Published 2025-01-01“…<h4>Conclusion</h4>Self-reported snoring was an independent risk factor for MAFLD in young and middle-aged subjects with a moderate predictive value. Therefore, intense monitoring and evaluation of MAFLD in these patients is necessary.…”
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1024
The role of the modified Glasgow prognostic score in predicting postoperative mortality following open-heart surgery
Published 2025-07-01“…It provides independent predictive value and can enhance preoperative risk assessment, ultimately improving patient outcomes and guiding surgical management.…”
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1025
Accuracy evaluation of API P-Y model for Offshore Piles in Clays
Published 2025-09-01“…The model accuracy is represented by a model factor defined as the ratio of measured to predicted values of soil resistance around the pile. Results showed that the API p-y model underestimates the true soil resistance by about 50 % on average. …”
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1026
Evaluation of inflammatory parameters in patients with hepatic hydatid disease
Published 2021-01-01“…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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1027
The relationship between liver stiffness, fat content measured by liver elastography, and coronary artery disease: a study based on the NHANES database
Published 2025-08-01“…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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1028
mNUTRIC score as a predictor of the lethal outcome in critically ill patients with COVID-19: systematic review and meta-analysis
Published 2023-07-01“…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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1029
Relationship between inflammatory markers and long-term prognosis in ICU patients with acute non-ST-segment elevation myocardial infarction
Published 2025-08-01“…The long-term prognostic prediction model constructed for NSTEMI patients based on the aforementioned associations demonstrates high clinical predictive value.…”
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1030
Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions
Published 2025-09-01“…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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1031
The Prognostic Nutritional Index (PNI) Is a Powerful Biomarker for Predicting Clinical Outcome in Gastrointestinal Emergency Patients: A Comprehensive Analysis from Diagnosis to Ou...
Published 2025-07-01“…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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1032
Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma
Published 2025-07-01“…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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1033
Interleukin biomarkers as predictive tools for lupus nephritis grade and disease activity in systemic lupus erythematosus
Published 2025-04-01“…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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1034
Value of two⁃dimensional speckle tracking echocardiography in predicting subclinical cardiac involvement in patients with immunoglobulin light⁃chain cardiac amyloidosis
Published 2025-08-01“…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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1035
Comprehensive multi-omics pan-cancer analysis revealed EGFLAM as a potential prognostic and immune infiltration-associated biomarker
Published 2025-07-01“…It also demonstrated prognostic predictive value in several cancer types, suggesting its potential as a prognostic biomarker. …”
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1036
Frailty and nutritional assessments for predicting postoperative complications in older adults undergoing non-cardiac surgery
Published 2025-08-01“…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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1037
Outcome prediction of sepsis-induced acute kidney injury by plasma endostatin: prospective observational study
Published 2025-07-01“…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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1038
Informational Value of Proadrenomedullin Blood Levels in Patients with Septic Shock, Once Measured Upon Admission to ICU
Published 2022-01-01“…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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1039
The use of fluorescence spectroscopy in combination with fluorescence vizualization for cystoscopy
Published 2013-12-01“…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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1040
Predictive Modeling of Heart Failure Outcomes Using ECG Monitoring Indicators and Machine Learning
Published 2025-07-01“…Objective We evaluated the predictive value of electrocardiogram (ECG)–derived features and developed an ML model to stratify HF risk. …”
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