Background: Lichen sclerosus (LS) is a chronic inflammatory condition mainly affecting genital skin. It causes distressing symptoms that impact daily quality of life (QoL). It causes progressive anatomical changes and a potential risk of cancer. Published randomized controlled trials are of varying methodological quality and difficult to combine in meta-analyses. This is partly due to lack of agreed outcome measures to assess treatment response. Identification of core outcome sets (COSs), which standardize key outcomes to be measured in all future trials, is a solution to this problem.
Objectives: To obtain international agreement on which outcome domains should be measured in interventional trials of genital LS.
Methods: Recommended best practice for COS domain development was followed: (i) identification of potential outcome domains: a long list was generated through an up-to-date LS literature search, including information collected during the LS priority-setting partnership; (ii) provisional agreement of outcome domains: a three-stage multi-stakeholder international electronic-Delphi (e-Delphi) consensus study; (iii) final agreement of outcome domains: online consensus meeting with international stakeholders including anonymized voting.
Results: In total, 123 participants (77 patients, 44 health professionals, 2 researchers) from 20 countries completed three rounds of the e-Delphi study. Eleven outcome domains were rated as 'critical' and were discussed at the online consensus meetings. The first set of consensus meetings involved 42 participants from 12 countries. Consensus was met for 'symptoms' (100% agreed) and 'QoL - LS-specific' (92% agreed). After the second set of meetings, involving 29 participants from 12 countries, 'clinical (visible) signs' also met consensus (97% agreed).
Conclusions: The international community has agreed on three key outcome domains to measure in all future LS clinical trials. We recommend that trialists and systematic reviewers incorporate these domains into study protocols with immediate effect. CORALS will now work with stakeholders to select an outcome measurement instrument per prioritized core domain.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/bjd/ljac145 | DOI Listing |
Front Psychol
January 2025
Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design.
Methods: Twenty-five participants (mean age 69.
World J Gastrointest Endosc
January 2025
Department of Anesthesiology, Baoding First Central Hospital, Baoding 071000, Hebei Province, China.
Background: Administering anesthesia to elderly patients undergoing gastroenteroscopy necessitates careful attention due to age-related physiological changes and an increased risk of complications.
Aim: To analyze the research trends in anesthesia management for elderly patients undergoing gastroenteroscopy.
Methods: We performed a literature search using the Web of Science database to identify articles published between 2004 and 2023.
Front Sports Act Living
January 2025
Department of Sports Science, Sichuan University, Chengdu, China.
Background: In recent years, an increasing number of scholars have begun to focus on the relationship between children's motor development and school activities, with the relationship between children's fine motor skills and academic achievement being a particularly researched area. However, due to different research perspectives among scholars, the results in this field have been somewhat controversial. Therefore, this study aims to delve deeper into the relationship between children's fine motor skills and their various academic abilities through systematic review and meta-analysis.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Augusta, GA, United States.
Background: Large language models (LLMs) have demonstrated impressive performance on medical licensing and diagnosis-related exams. However, comparative evaluations to optimize LLM performance and ability in the domain of comprehensive medication management (CMM) are lacking. The purpose of this evaluation was to test various LLMs performance optimization strategies and performance on critical care pharmacotherapy questions used in the assessment of Doctor of Pharmacy students.
View Article and Find Full Text PDFIndian Dermatol Online J
December 2024
Financial Research and Executive Insights, Everest Group, Gurugram, Haryana, India.
Background: Artificial intelligence (AI) is revolutionizing healthcare by enabling systems to perform tasks traditionally requiring human intelligence. In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. In the specific domain of onychology, AI presents a promising avenue for diagnosing nail disorders, analyzing intricate patterns, and improving diagnostic accuracy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!