Evidence map›Paper›PMID 39662998›Full record

ArticlePharmacoepidemiology and drug safety2024

Generating Real-World Evidence From the Excellence Network in Rheumatology.

Timothy Beukelman, Amy Mudano, Patrick Stewart, Shilpa Venkatachalam, Fenglong Xie, Michael George, Howard Busch, Priya Reddy, Kenneth G Saag, Yujie Su and 1 more

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Timothy BeukelmanFoundation for Advancing Science, Technology, Education, and Research (FASTER), Birmingham, Alabama, USA.ORCID 0000-0001-9463-6306
Amy MudanoIllumination Health, Hoover, Alabama, USA.
Patrick StewartIllumination Health, Hoover, Alabama, USA.
Shilpa VenkatachalamGlobal Healthy Living Foundation (GHLF), Upper Nyack, New York, USA.
Fenglong XieIllumination Health, Hoover, Alabama, USA.
Michael GeorgeUniversity of Pennsylvania School of Medicine, Philadelphia, USA.
Howard BuschAmerican Arthritis and Rheumatology Associates (AARA), Boca Raton, USA.
Priya ReddyAmerican Arthritis and Rheumatology Associates (AARA), Boca Raton, USA.
Kenneth G SaagUniversity of Alabama at Birmingham, Birmingham, Alabama, USA.
Yujie SuIllumination Health, Hoover, Alabama, USA.
Jeffrey R CurtisFoundation for Advancing Science, Technology, Education, and Research (FASTER), Birmingham, Alabama, USA.

Funding

Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
NIAMS NIH HHS P30 AR072583NIAMS NIH HHS P30AR072583
6 · The paper itself

Abstract

purposeThe Excellence Network in RheumatoloGY (ENRGY) was founded in 2021 and encompasses data from more than 700 private practice rheumatology providers throughout the United States, forming a practice-based research network (PBRN).

methodsElectronic health record (EHR) data from participating practices are aggregated, including structured data (e.g., clinical assessments) and unstructured data from two different EHR platforms. Targeted data quality efforts ensure capture of high-quality clinical data and reduce missingness. ENRGY network membership also provides participating sites access to technology services that enhance patient care. Centralized ethics approval and pre-existing legal agreements along with electronic tools to curate data and contact eligible study participants improves efficiency of multi-center prospective studies.

resultsThe ENRGY data warehouse includes linked administrative claims data for commercial and government-provided insurance (31% of patients linked to commercial claims) and patient-generated health data from both in-office and out-of-office settings via a smartphone app as well as biosensor data. ENRGY data and infrastructure can be employed to identify the highest yield sites for prospective studies; identify patients meeting study eligibility criteria; pre-screen individual patient's willingness to participate in specific studies; centralize study data monitoring; and assist in the conduct of prospective studies.

conclusionENRGY data have been used to generate a growing number of scientific publications and may serve as a model for PBRNs in other specialties seeking to harness the potential of data linkages, patient-generated data capture, and centralized study infrastructure for observational and interventional research.

Indexed as

Electronic Health RecordsRheumatologyData WarehousingHumansProspective StudiesUnited States

Identifiers

PMID39662998
PMCPMC12007395

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.