Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/pace.14258 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cardiac Biomarkers and Risk Stratification in Liver Transplantation for Acute-on-Chronic Liver Failure: Refining Current Risk Models for Improved Prediction of Post-transplant Mortality.
Anesthesiology
September 2025
Department of Anesthesiology and Pain Medicine, Laboratory for Cardiovascular Dynamics, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea.
Background: Cardiovascular complications are the leading cause of mortality following liver transplantation (LT) in patients with acute-on-chronic liver failure (ACLF). However, the extent of cardiac impairment in these patients remains unclear. Current risk models, including the CLIF-C-organ failure (CLIF-C-OF), NACSELD-ACLF, and the novel Sundaram ACLF-LT-mortality (SALT-M) scores primarily focus on blood pressure and the use of cardiovascular drugs, without directly assessing biomarkers of cardiac injury.
View Article and Find Full Text PDFUtilizing tumor deposit count as a stratification criterion in revising TNM staging system for patients with colorectal cancer: a nomogram review study.
Front Oncol
August 2025
Department of Surgery, Hebei Medical University, Shijiazhuang, Hebei, China.
Background: Tumor deposit (TD) is an independent risk factor associated with recurrence or metastasis for patients with colorectal cancer (CRC). The scenario in which both TD and lymph node metastasis (LNM) are positive is not clearly illustrated by the current TNM staging system. Simply treating one TD as one or two LNMs by a weighting factor is inappropriate.
View Article and Find Full Text PDFMulticenter Development of a Clinical-Molecular Nomogram for Predicting Survival in Lung Cancer Brain Metastasis Patients.
Cancer Manag Res
September 2025
The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
Background: Lung cancer brain metastasis (LCBM) accounts for 40-50% of intracranial malignancies, with emerging evidence of alternative metastatic pathways circumventing the blood-brain barrier. Existing prognostic models lack validation in Asian populations and molecular stratification. This multicenter study aimed to develop a clinical nomogram integrating clinicopathological and molecular determinants for personalized LCBM management.
View Article and Find Full Text PDFDevelopment and validation of a gastric cancer prognostic model utilizing lymphatic endothelial cell-related genes.
Diagn Pathol
September 2025
Department of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Background: Gastric cancer is one of the most common cancers worldwide, with its prognosis influenced by factors such as tumor clinical stage, histological type, and the patient's overall health. Recent studies highlight the critical role of lymphatic endothelial cells (LECs) in the tumor microenvironment. Perturbations in LEC function in gastric cancer, marked by aberrant activation or damage, disrupt lymphatic fluid dynamics and impede immune cell infiltration, thereby modulating tumor progression and patient prognosis.
View Article and Find Full Text PDFA Web-Based Dynamic Nomogram for Early Diagnosis in Sepsis: Development and Validation with Real-World Clinical Utility.
Infect Drug Resist
September 2025
Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, 317000, People's Republic of China.
Purpose: Sepsis has high mortality and progresses rapidly, requiring early diagnosis; traditional scoring and lab parameters are limited in non-ICU settings, highlighting the need for biomarker integration and continuous monitoring to enhance diagnostic accuracy.
Patients And Methods: A retrospective analysis of 1,098 patients at Taizhou Hospital of Zhejiang Province identified sepsis and non-sepsis groups per Sepsis 3.0 criteria, Logistic regression analyses were used to identify the risk factors.