The complexity of the problem is associated with the lack of reliable differential diagnostic indications for distinguishing epileptic and pseudo-epileptic seizures, as well as with the risk of provoking seizures during psychological sessions in patients with PPS. Therefore, apparently, only one of the Russian-language monographs that were published in recent years and one of the 1999 neurology guidelines pay attention to this problem. We have shown the nosological heterogeneity of patients with PPS, clinical particularities related to it and the need for a differentiated approach to its therapy. PPS is a serious clinical problem that can successfully be solved only by interdisciplinary development.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.17116/jnevro2020120061162 | DOI Listing |
BMC Prim Care
December 2024
Department of General Practice, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Introduction: General practitioners (GPs) often face challenges in explaining to patients with persistent physical symptoms (PPS) why their symptoms persist. Providing an explanation of the central sensitisation (CS) mechanism to patients could be helpful, yet GPs do not routinely test for signs of CS in these patients. The aim of this study was to explore the value of applying a test to assess CS in enhancing explanations provided to patients.
View Article and Find Full Text PDFCurr Issues Mol Biol
December 2024
Department of Pathology, Faculty of Medicine, Prince of Songkhla University, Hat Yai 90110, Songkhla, Thailand.
This study aimed to generate Car- and Pac-resistant cell lines from the human lung adenocarcinoma H1792 cell line, designated as H1792/Car and H1792/Pac, and perform transcriptome sequencing to identify potential targets. Common differentially expressed genes (Co-DEGs) in both resistant cell lines were identified, followed by hub gene identification. Online validation was conducted through GEPIA and Kaplan-Meier Plotter platforms, with experimental validation performed using real-time quantitative PCR (RT-qPCR).
View Article and Find Full Text PDFCPT Pharmacometrics Syst Pharmacol
December 2024
COMPutational Pharmacology and Clinical Oncology Department, Inria Sophia Antipolis - Méditerranée, Cancer Research Center of Marseille, Inserm UMR1068, CNRS UMR7258, Aix Marseille University UM105, Marseille, France.
We employed a mechanistic learning approach, integrating on-treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post-progression survival (PPS)-the duration from the time of documented disease progression to death-and overall survival (OS) in Head and Neck Squamous Cell Carcinoma (HNSCC). We compared the predictive power of model-derived TK parameters versus RECIST and assessed the efficacy of nine TK-OS ML models against conventional survival models. Data from 526 advanced HNSCC patients treated with chemotherapy and cetuximab in the TPExtreme trial were analyzed using a double-exponential model.
View Article and Find Full Text PDFFront Genet
December 2024
Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background: Ulcerative colitis has a serious impact on the quality of life of patients and is more likely to progress to colon cancer. Therefore, early diagnosis and timely intervention are of considerable importance.
Methods: Gene expression data of active ulcerative colitis were downloaded from the Gene Expression Omnibus (GEO) database, and genes with significant differential expression were identified.
Cureus
November 2024
Social and Preventive Medicine, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Context: Pelvic floor disorders (PFD) have been on the rise, with an overall prevalence of 11%-35.5% globally. They develop due to various factors like increasing number of deliveries and increasing age, leading to progressive weakening of the soft tissues and pelvic support system.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!