Evidence map›Paper›PMID 42368591›Full record

ReviewEULAR rheumatology open2025

Five years of the Digital Rheumatology Network: insights and future directions.

Antoni Chan, Johannes Knitza, Vincenzo Venerito, Latika Gupta, Jutta G Richter, Philip Hamann, Didier Hans, Martin Krusche, Bart van den Bempt, Jacob M van Laar and 3 more

Abstract readReview
In one paragraph

Review in EULAR rheumatology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Antoni ChanDepartment of Rheumatology, Royal Berkshire NHS Foundation Trust & University of Reading, Reading, United Kingdom.
Johannes KnitzaUniversity Hospital of Giessen and Marburg, Germany.
Vincenzo VeneritoDepartment of Precision and Regenerative Medicine-Ionian Area, University of Bari, Bari, Italy.
Latika GuptaDepartment of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom.
Jutta G RichterClinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany.
Philip HamannDepartment of Rheumatology, North Bristol NHS Trust & University of Bristol, Bristol, United Kingdom.
Didier HansInterdisciplinary Bone Center, University Hospital Lausanne (CHUV) and University of Lausanne, Lausanne, Switzerland.
Martin KruscheDepartment of Rheumatology, University Hospital Hamburg, Hamburg, Germany.
Bart van den BemptDepartments of Pharmacy, Radboud University Nijmegen/Sint Maartenskliniek, Nijmegen, The Netherlands.
Jacob M van LaarDepartment of Rheumatology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Marc BlanchardDepartment of Rheumatology, University Hospital Lausanne (CHUV) and University Lausanne, Lausanne, Switzerland.
Thomas HügleDepartment of Rheumatology, University Hospital Lausanne (CHUV) and University Lausanne, Lausanne, Switzerland.
Digital Rheumatology Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To outline Digital Rheumatology Network (DRN)'s activities, trends, and achievements over the past 5 years and to highlight concrete implementations and future directions in digital rheumatology. Methods: This article reviews the evolution of DRN activities, such as podcasts, webinars, research awards, start-up pitches, and the Digital Rheumatology Days (DRD) conference content including trends in the field. Results: The DRD conference has evolved from a 2019 in-person event to a hybrid format by 2021, with themes progressing from general eHealth to digital therapeutic programmes, remote patient monitoring, and various artificial intelligence (AI) applications such as for disease prediction, digital biomarkers, or large language models. Workshops on app development, coding, machine learning, large language models, and digital pathways have fostered multidisciplinary engagement. DRD participants include rheumatologists, nurses, patients, researchers, and industry or start-up representatives. Social media engagement, podcasts, and DRN's presence at European Alliance of Associations for Rheumatology (EULAR) and American College of Radiology (ACR) have expanded its reach. As a major achievement, DRN has fostered digital literacy among various stakeholders over the past years while also raising awareness and promoting cross-disciplinary collaborations. Key trends include the expansion and implementation of AI algorithms in clinical pathways, disease-specific remote monitoring, and digital therapeutic programmes, with a focus on evidence, adoption, and implementation in clinical practice. Conclusions: DRN has become a catalyst for digital health innovation in rheumatology, connecting medical knowledge and technical understanding, fostering collaboration, and thus driving the adoption of digital tools. Moving forward, DRN will continue to accompany digital transformation and promote digital literacy.

Identifiers

PMID42368591
PMCPMC13292396

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.