Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Myocarditis II: Clinical Features and Diagnostic Tests01:27

Myocarditis II: Clinical Features and Diagnostic Tests

393
Myocarditis is an inflammation of the heart muscle. The symptoms vary widely, encompassing asymptomatic presentations to severe, acute manifestations.Clinical PresentationAsymptomatic cases: In some instances, myocarditis may be asymptomatic, with the infection resolving without intervention. These cases often go undetected unless discovered incidentally through diagnostic imaging or tests conducted for other reasons.General Early Symptoms: Early symptoms of myocarditis are non-specific and can...
393

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Assessing the diagnostic utility of baseline creatine kinase levels in patients with suspected idiopathic inflammatory myopathies and neuromuscular disorders.

Rheumatology advances in practice·2026
Same author

Defining interstitial lung disease related to idiopathic inflammatory myopathies: a systematic review protocol of the Myositis Clinical Trial Consortium (MCTC).

Systematic reviews·2026
Same author

Bezafibrate for Primary Biliary Cholangitis: a Number Needed to Treat Analysis.

JHEP reports : innovation in hepatology·2026
Same author

Editorial: UDCA Dosing in PBC-Between Guideline Adherence and Clinical Reality: Authors' Reply.

Alimentary pharmacology & therapeutics·2026
Same author

A Pragmatic Trial of a Shared Decision-Making Intervention to Improve Medication Adherence and Outcomes in Systemic Lupus Erythematosus: The HCQ-SAFE Study.

Arthritis & rheumatology (Hoboken, N.J.)·2026
Same author

Quantitative Muscle Magnetic Resonance Imaging Demonstrates Resolution of Muscle Edema in Refractory Dermatomyositis: A Post Hoc Analysis of a Proof-of-Concept Clinical Trial of Tofacitinib.

ACR open rheumatology·2026
Same journal

Associations Between Social Risk Factors and Acute Care Use Among Patients with Rheumatic Conditions.

Arthritis care & research·2026
Same journal

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self-Management: A Mixed Methods Study.

Arthritis care & research·2026
Same journal

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns.

Arthritis care & research·2026
Same journal

Determinants of body mass index in early systemic sclerosis: implications for nutritional risk stratification.

Arthritis care & research·2026
Same journal

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis.

Arthritis care & research·2026
Same journal

Assessing Reliability of an Electronic Gout Flare Assessment Protocol.

Arthritis care & research·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.2K

Standardized Interoperable Data Collection for Myositis Research: Developing Expert Consensus on Common Data Elements

Didem Saygin1, Matthew Diller2, Varsha Surampudi3

  • 1Rush University Medical Center, Chicago, Illinois.

Arthritis Care & Research
|March 6, 2026
PubMed
Summary
This summary is machine-generated.

This study created the first myositis-specific Common Data Elements (CDEs) to standardize data collection for myositis research. These new CDEs will improve data sharing and accelerate clinical studies and therapeutic trials for myositis patients.

More Related Videos

Behavioral and Locomotor Measurements Using an Open Field Activity Monitoring System for Skeletal Muscle Diseases
06:52

Behavioral and Locomotor Measurements Using an Open Field Activity Monitoring System for Skeletal Muscle Diseases

Published on: September 29, 2014

54.6K
Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model
07:32

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Published on: May 6, 2020

13.4K

Related Experiment Videos

Last Updated: Mar 7, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.2K
Behavioral and Locomotor Measurements Using an Open Field Activity Monitoring System for Skeletal Muscle Diseases
06:52

Behavioral and Locomotor Measurements Using an Open Field Activity Monitoring System for Skeletal Muscle Diseases

Published on: September 29, 2014

54.6K
Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model
07:32

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Published on: May 6, 2020

13.4K

Area of Science:

  • Rheumatology
  • Data Science
  • Clinical Informatics

Background:

  • Validated myositis outcome measures are advancing, but data standardization across registries remains a challenge.
  • The National Institutes of Health (NIH) Common Data Elements (CDE) Repository aims to standardize data, yet lacks sufficient myositis-specific CDEs.
  • Novel data science strategies were employed to develop essential myositis outcome measure CDEs.

Purpose of the Study:

  • To develop standardized, computable Common Data Elements (CDEs) for myositis outcome measures.
  • To address critical deficiencies in data standardization for myositis registries.
  • To facilitate interoperable data collection and sharing for myositis research.

Main Methods:

  • Examined data dictionaries from myositis registries to understand current outcome measure capture.
  • Utilized the Linked data Modeling Language (LinkML) to create computable CDEs.
  • Convened international expert panels using Delphi and modified nominal group techniques for consensus on CDEs.

Main Results:

  • Established a workflow for CDE creation, resulting in 852 new CDEs for 27 myositis forms.
  • Achieved universal agreement on CDEs for ten myositis core set activity measures (CSMs).
  • Prioritized and developed CDEs for additional measures including response criteria, damage, physical function, and PROMIS instruments.

Conclusions:

  • Developed the first myositis-specific CDEs by integrating clinical and data science expertise.
  • These CDEs will accelerate interoperable myositis clinical studies and therapeutic trials.
  • The established workflow can be applied to develop CDEs for other autoimmune diseases.