ArticleAnnals of the rheumatic diseases2018
Development of a consensus core dataset in juvenile dermatomyositis for clinical use to inform research.
Article in Annals of the rheumatic diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Treating juvenile dermatomyositis to target: Paediatric Rheumatology European Society/Childhood Arthritis and Rheumatology Research Alliance-endorsed recommendations from an international task force.Annals of the rheumatic diseases · 2025Guideline
- Summarizing current refractory disease definitions in rheumatoid arthritis and polyarticular juvenile idiopathic arthritis: systematic review.Rheumatology (Oxford, England) · 2021Pooled it
- Efforts towards a precision medicine approach in juvenile idiopathic arthritis.Rheumatology (Oxford, England) · 2026Review
- Update on clinimetric assessments in juvenile dermatomyositis: conceptual foundations, current tools, and future directions : (Narrative review describing the development, validation, and application of clinimetric outcome measures in juvenile dermatomyositis).Pediatric rheumatology online journal · 2026Review
- Discovery of tissue-specific proteomic signatures in juvenile dermatomyositis highlights pathways reflecting persistent disease activity, clinical heterogeneity, and myositis-specific autoantibody subtype.Annals of the rheumatic diseases · 2025Article
- Tape strip expression profiling of juvenile dermatomyositis skin reveals mitochondrial dysfunction contributing to disease endotype.JCI insight · 2025Article
- Artificial intelligence for nailfold capillaroscopy analyses - a proof of concept application in juvenile dermatomyositis.Pediatric research · 2024Article
- Defining criteria for disease activity states in juvenile dermatomyositis based on the Juvenile Dermatomyositis Activity Index.RMD open · 2024Article
- Currently recommended skin scores correlate highly in the assessment of patients with Juvenile Dermatomyositis (JDM).Pediatric rheumatology online journal · 2023Article
- Juvenile idiopathic inflammatory myositis: an update on pathophysiology and clinical care.Nature reviews. Rheumatology · 2023Review
- Evaluating key performance indicators of the process of care in juvenile idiopathic arthritis.Pediatric rheumatology online journal · 2023Article
- Article
- Baseline characteristics of children with juvenile dermatomyositis enrolled in the first year of the new Childhood Arthritis and Rheumatology Research Alliance registry.Pediatric rheumatology online journal · 2022Article
- Feasibility of the wingate anaerobic exercise test as a clinical measure in patients with juvenile dermatomyositis.Pediatric rheumatology online journal · 2022Article
- Assessing Patient-Reported Outcomes in Pediatric Rheumatic Diseases: Considerations and Future Directions.Rheumatic diseases clinics of North America · 2022Review
- The origins, evolution and future of the International Myositis Assessment and Clinical Studies Group (IMACS).Clinical and experimental rheumatology · 2022Article
- Development of a Nationally Agreed Core Clinical Dataset for Childhood Onset Uveitis.Frontiers in pediatrics · 2022Article
- Multi-Modal Single-Cell Sequencing Identifies Cellular Immunophenotypes Associated With Juvenile Dermatomyositis Disease Activity.Frontiers in immunology · 2022Article
- Updates on Juvenile Dermatomyositis from the Last Decade: Classification to Outcomes.Rheumatic diseases clinics of North America · 2021Review
- Outcome Scores in Pediatric Rheumatology.Current rheumatology reports · 2021Review
Corrections and comments
- Commented on by
Authors and funding
23 authors.
Funding
Abstract
objectivesThis study aimed to develop consensus on an internationally agreed dataset for juvenile dermatomyositis (JDM), designed for clinical use, to enhance collaborative research and allow integration of data between centres.
methodsA prototype dataset was developed through a formal process that included analysing items within existing databases of patients with idiopathic inflammatory myopathies. This template was used to aid a structured multistage consensus process. Exploiting Delphi methodology, two web-based questionnaires were distributed to healthcare professionals caring for patients with JDM identified through email distribution lists of international paediatric rheumatology and myositis research groups. A separate questionnaire was sent to parents of children with JDM and patients with JDM, identified through established research networks and patient support groups. The results of these parallel processes informed a face-to-face nominal group consensus meeting of international myositis experts, tasked with defining the content of the dataset. This developed dataset was tested in routine clinical practice before review and finalisation.
resultsA dataset containing 123 items was formulated with an accompanying glossary. Demographic and diagnostic data are contained within form A collected at baseline visit only, disease activity measures are included within form B collected at every visit and disease damage items within form C collected at baseline and annual visits thereafter.
conclusionsThrough a robust international process, a consensus dataset for JDM has been formulated that can capture disease activity and damage over time. This dataset can be incorporated into national and international collaborative efforts, including existing clinical research databases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.