In this review we describe an international project, conducted by the Paediatric Rheumatology International Trials Organization (PRINTO) that was aimed to identify, validate and promulgate core sets of measures and a definition of improvement for the evaluation of response to therapy in clinical trials and in daily clinical practice in patients with juvenile systemic lupus erythematosus (JSLE). The following clinical measures were included in the PRINTO core set of outcome measure for the evaluation of response to therapy: 1) physician's global assessment of disease activity; 2) global disease activity measure; 3) 24-hour proteinuria; 4) parent's global assessment of the overall patient's well-being; 5) health-related quality of life assessment. The measures included in the core set were found to be feasible and not redundant, to have good construct validity, discriminative ability, internal consistency, with fair responsiveness to clinically important change in disease activity, and to be associated strongly with treatment outcome. In order to be classified as responder to a given treatment, a patient should demonstrate at least 50% improvement from baseline in any two of the five core set measures with no more than one of the remaining worsening by more than 30%. This definition is now known as the 'PRINTO/American College of Rheumatology (ACR) provisional criteria for JSLE'. The proposed core set and definition of improvement incorporate clinically meaningful change in a composite endpoint for the evaluation of global response to therapy in JSLE. The definition is now proposed for use in JSLE clinical trials, and may help physicians to decide if a child with SLE has responded adequately to therapy.
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http://dx.doi.org/10.1177/0961203307079556 | DOI Listing |
Objectives: To discuss teaching and assessment of advocacy skills in student pharmacists as called for in the 2022 COEPA.
Findings: COEPA categorizes advocacy as a skill that should be developed to advance patient care and the profession. This is a change from the 2013 CAPE outcomes where the focus was on advocating for patients.
Phytomedicine
December 2024
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China. Electronic address:
Object: Rheumatoid arthritis (RA) is a prevalent and currently incurable autoimmune disease. Existing conventional medical treatments are limited in their efficacy, prolonged disease may lead to bone destruction, joint deformity, and loss of related functions, which places a huge burden on RA patients and their families. For millennia, the use of traditional Chinese medicine (TCM), exemplified by the Gui-Zhi-Shao-Yao-Zhi-Mu decoction (GZSYZM), has been demonstrated to offer distinct therapeutic advantages in the management of RA.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
November 2024
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China.
Background: Aneuploidy is crucial yet under-explored in cancer pathogenesis. Specifically, the involvement of brain expressed X-linked gene 4 () in microtubule formation has been identified as a potential aneuploidy mechanism. Nevertheless, 's comprehensive impact on aneuploidy incidence across different cancer types remains unexplored.
View Article and Find Full Text PDFColorectal Dis
January 2025
Surgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Aim: Cytoreductive surgery provides a chance for long-term survival and cure in selected patients with colorectal peritoneal metastases. As clinical and academic interest in this field increases, heterogeneity in outcome reporting hinders the valid and meaningful synthesis of data into high-quality meta-analyses. The aim of this systemic review was to investigate variability in outcome reporting following cytoreductive surgery with or without intraperitoneal chemotherapy for colorectal peritoneal metastases.
View Article and Find Full Text PDFJ Cheminform
December 2024
School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue No. 101, Nanjing, 211166, Jiangsu, China.
Predicting protein-ligand binding affinity is essential for understanding protein-ligand interactions and advancing drug discovery. Recent research has demonstrated the advantages of sequence-based models and graph-based models. In this study, we present a novel hybrid multimodal approach, DeepTGIN, which integrates transformers and graph isomorphism networks to predict protein-ligand binding affinity.
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