Schizophrenia is a chronic mental illness associated with several functional impairments. The International Classification of Functioning, Disability and Health (ICF) Core Sets for schizophrenia are shortlists of ICF categories that are relevant for describing the functioning and disability of people suffering from schizophrenia. The aims of this study were to explore the content validity of these Core Sets from the perspective of psychiatrists and to identify - from this perspective and using the ICF framework - the most common problems of patients with schizophrenia. In a three-round survey using the Delphi technique, psychiatrists experienced in schizophrenia treatment were asked about the problems they commonly encounter in these patients. A total of 352 psychiatrists from 63 countries representing all six WHO regions responded to the first-round questionnaire, and 303 completed all three rounds (86% response rate). From the first-round responses, 7133 concepts were extracted and linked to 387 ICF categories and 35 personal factors. Of these, consensus (≥75% agreement) was reached for 91 ICF categories and 31 personal factors. Eighty-seven of the 97 ICF categories that form the Comprehensive ICF Core Set for schizophrenia were represented in this list. Only four of the categories for which consensus was reached do not feature in the Comprehensive Core Set. From the perspective of psychiatrists the content validity of the ICF Core Sets for schizophrenia was largely supported. This suggests that these Core Sets offer an effective framework for describing functioning and disability in individuals with schizophrenia.
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http://dx.doi.org/10.1016/j.jpsychires.2018.05.012 | DOI Listing |
Biophys J
January 2025
Department of Biology, New York University, New York, New York, 10003, USA. Electronic address:
The outer membrane is the defining structure of Gram-negative bacteria. We previously demonstrated that it is a major load-bearing component of the cell envelope and is therefore critical to the mechanical robustness of the bacterial cell. Here, to determine the key molecules and moieties within the outer membrane that underlie its contribution to cell envelope mechanics, we measured cell-envelope stiffness across several sets of mutants with altered outer-membrane sugar content, protein content, and electric charge.
View Article and Find Full Text PDFPathogens
January 2025
Department of Clinical Laboratory, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Institute, Capital Medical University, Beijing 101100, China.
The aim of this study was to reveal diagnostic biomarkers of considerable importance for common pathogenic , utilizing pan-genomic and comparative genome analysis to accurately characterize clinical infections. In this study, complete or assembled genome sequences of common pathogenic and closely related species were obtained from NCBI as discovery and validation sets, respectively. Genome annotation was performed using Prokka software, and pan-genomic analysis and extraction of core genes were performed using BPGA software.
View Article and Find Full Text PDFJ Clin Epidemiol
January 2025
Center for Evidence-Based Medicine and Healthcare, Catholic University of Croatia, Zagreb, Croatia. Electronic address:
Objectives: This study aimed to analyze the outcomes, outcome domains, and prevalence of the use of clinical outcome endpoints (COE) in clinical trials on sodium-glucose cotransporter 2 (SGLT2) inhibitors for chronic heart failure (CHF) registered on ClinicalTrials.gov and compare them to COE for cardiovascular trials.
Study Design And Setting: We conducted a cross-sectional methodological study.
Anal Bioanal Chem
January 2025
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
Urinary exosome metabolite analysis has demonstrated notable advantages in uncovering disease status, yet its potential in decoding the intricacies of clear cell renal cell carcinoma (ccRCC) remains untapped. To address this, a core-shell magnetic titanium organic framework was designed to capture urinary exosomes and assist laser desorption/ionization mass spectrometry (LDI MS) to decipher the exosomal metabolic profile of ccRCC, with high sensitivity, throughput, and speed. A total of 492 urinary exosome metabolite fingerprints (UEMFs) from 176 samples were extracted for exploring the differences between ccRCC and healthy individuals.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
Persistent infection with high-risk human papillomavirus (hrHPV) is a major cause of cervical cancer. The effectiveness of current HPV-DNA testing, which is crucial for early detection, is limited in several aspects, including low sensitivity, accuracy issues, and the inability to perform comprehensive hrHPV typing. To address these limitations, we introduce MTIOT (Multiple subTypes In One Time), a novel detection method that utilizes machine learning with a new multichannel integration scheme to enhance HPV-DNA analysis.
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