Evidence map›Paper›PMID 40268742›Full record

Observational studyRheumatology (Oxford, England)2025

Recruitment rate comparison between a virtual tele-research cohort and a traditional centre-based cohort in idiopathic inflammatory myopathy.

Siamak Moghadam-Kia, Anushka Aggarwal, Swamy Venuturupalli, Shiri Keret, Nantakarn Pongtarakulpanit, Mark Riley, Shalini Mahajan, Daphne Scaramangas-Plumley, Aarat Patel, Joe Kelley and 4 more

Abstract readObservational StudyComparative StudyMulticenter Study
In one paragraph

Observational study in Rheumatology (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Siamak Moghadam-KiaDivision of Rheumatology and Clinical Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Anushka AggarwalDepartment of Rheumatology, Indraprastha Apollo Hospital, New Delhi, India.ORCID 0000-0003-3094-0215
Swamy VenuturupalliDepartment of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Shiri KeretRheumatology, Bnai-Zion Medical Center, Faculty of Medicine, Technion, Haifa, Israel.ORCID 0000-0002-8680-4661
Nantakarn PongtarakulpanitDivision of Allergy, Immunology and Rheumatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Mark RileyDepartment of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Shalini MahajanDepartment of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Daphne Scaramangas-PlumleyDepartment of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Aarat PatelDepartment of Rheumatology, Bon Secours Rheumatology Center, VA, USA.
Joe KelleyDepartment of Rheumatology, Intercoastal Medical Group, Sarasota, FL, USA.
Eleni TiniakouDivision of Rheumatology, Department of Medicine, John Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-4749-870X
Chester V OddisDivision of Rheumatology and Clinical Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Rohit AggarwalDivision of Rheumatology and Clinical Immunology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.ORCID 0000-0001-7531-8038
MyPacer Study Group

Funding

RNA: Polymerase III specific CD8+ T cells: a mechanistic insight into cancer-induced autoimmunity in sclerodermaK08AR077732 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TINIAKOU, ELENI · 2021 to 2025
$794k
AstraZenecaBoehringer IngelheimMyositis Patient-Centered Tele-Research 03/2018-02/2021NIAMS NIH HHS 1R01AR071659-01A1NIAMS NIH HHS K08 AR077732NIH
6 · The paper itself

Abstract

objectivesIdiopathic inflammatory myopathy (IIM, myositis) faces recruitment and retention challenges in clinical studies due to disease rarity, geographical barriers and logistic difficulties. This study aimed to compare recruitment, enrolment, retention and data completion between a decentralized telemedicine-based research cohort (TRC) and a traditional centre-based cohort (CBC) in IIM.

methodsThe Myositis Patient Centered Research (MyPacer) study, a large prospective observational study, collected data on core set measures, patient-reported outcomes and functional tests. TRC patients were recruited online across the USA using a mobile app/website, while CBC participants were recruited from two myositis centres. Both cohorts followed the same protocol and were observed for 6 months. Recruitment was defined as participants who completed the pre-eligibility questionnaire, while enrolment referred to those who passed screening and participated for 6 months. Recruitment, enrolment and retention rates were compared between the two cohorts.

resultsIn 6 months, TRC recruited 781 patients, 13 times faster than CBC (n = 60), and enrolled twice as many (P < 0.001). Screening success was similar, 78% for TRC and 87% in the CBC (P = 0.17). Among 120 enrolled, DM was the most common diagnosis (52%), with most participants being female (75%) and White (81%), with a mean age of 55 ± 13.4 years, similar across both cohorts. Dropout rates were similar (TRC, 7.6%: CBC, 5.5%; P = 0.67). TRC had higher compliance with study forms (93%) than CBC (69%) (P < 0.01).

conclusionThe decentralized TRC demonstrated higher recruitment and enrolment, with similar compliance and retention rates compared with CBC. Decentralized approaches offer promise for rare diseases with recruitment challenges.

Indexed as

MyositisPatient SelectionTelemedicineAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresProspective Studiesde-centralized trialsmyositisrare diseasesrecruitment strategiestelemedicinetele-research

Identifiers

PMID40268742
PMCPMC12316378

What OpenQuestion holds

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Registered trials

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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.