Within a period of from 1967 to 1987, the authors treated 389 patients with injuries and diseases of the liver, bile ducts, adjacent organs, which were complicated by long-existing external and internal fistulas of the bile ducts, or intrahepatic cavities.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Health-related quality of life in Chagas cardiomyopathy: Development of a theoretical model.
Trop Med Int Health
January 2025
Postgraduate Course in Reabilitação e Desempenho Funcional, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina, Brazil.
Objective: Chagas disease can cause several complications, such as Chagas cardiomyopathy, the most severe clinical form of the disease. Chagas cardiomyopathy is complex and involves biological and psychosocial factors that can compromise health-related quality of life. However, it is necessary to establish interactions that significantly impact the health-related quality of life of this population.
View Article and Find Full Text PDFAssessment of stigma among patients living with Parkinson's disease: an exploratory study.
Acta Neurol Belg
January 2025
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Objective: This cross-sectional study aims to assess the levels of stigma among patients with Parkinson's disease (PD) and identify the demographic and clinical factors influencing both internal and external stigma.
Materials And Methods: A total of 200 patients diagnosed with PD were recruited from Beijing Tiantan Hospital between June 2023 and June 2024 using convenience sampling. Data were collected through face-to-face interviews, including demographic information, disease severity assessed via the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS), and stigma levels measured using the 24-item Stigma Scale for Chronic Illness (SSCI).
Exploring EntrepreNursing: The influence of internal locus of control and organizational innovativeness on nurses' innovative behavior - A cross-sectional study.
Appl Nurs Res
February 2025
Nursing Department, Ashkelon Academic College, Israel. Electronic address: https://twitter.com/kagily/.
Background: The concept of 'EntrepreNursing' improves healthcare outcomes by enhancing quality, accessibility, and cost-effectiveness, but remains underutilized by clinical nurses. Research on how to promote EntrepreNursing is scant.
Purpose: To examine how personal characteristics (internal locus of control, capacity to innovate) and organizational innovativeness influence nurses' innovative behaviors.
Time-Space Network Hypertension in the Digital Era - Update From Jichi Medical University Hypertension Study.
Circ J
January 2025
Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine.
Time-space network hypertension is a data science approach that connects diverse information related to hypertension within a time-space framework. This field of academic research aims to predict disease onset and direct effective, individualized, optimized treatments by integrating and analyzing the variability of multiple internal biological and external environmental signals as they relate to blood pressure variability across different time phases. By linking time series changes in blood pressure and biological distribution with multi-environmental and physiological information, enabled by advances in digital technology, the time-space network hypertension approach contributes to "digital hypertension" research.
View Article and Find Full Text PDFCA-SQBG: Cross-attention guided Siamese quantum BiGRU for drug-drug interaction extraction.
Comput Biol Med
January 2025
College of Electronic Information, Xijing University, Xi'an, China. Electronic address:
Accurate and efficient drug-drug interaction extraction (DDIE) from the medical corpus is essential for pharmacovigilance, drug therapy and drug development. To solve the problems of unbalance dataset and lack of accurate manual annotations in DDIE, a cross-attention guided Siamese quantum BiGRU (CA-SQBG) is constructed to improve feature representation learning ability for DDIE. It mainly consists of two quantum BiGRUs (QBiGRUs) and a cross-attention, where two QBiGRUs are Siamese implemented in a variational quantum environment to learn the contextual semantic feature representation of drug pairs, cross-attention is employed to learn mutual information from the Siamese QBiGRUs, which in turn allows the two modules to extract DDI more collaboratively.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!