Evidence map›Paper›PMID 38444876›Full record

ArticleContemporary clinical trials communications2024

Wearable activity tracker study exploring rheumatoid arthritis patients' disease activity using patient-reported outcome measures, clinical measures, and biometric sensor data (the wear study).

Laura Stradford, Jeffrey R Curtis, Patrick Zueger, Fenglong Xie, David Curtis, Kelly Gavigan, Cassie Clinton, Shilpa Venkatachalam, Esteban Rivera, W Benjamin Nowell

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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

10 authors.

Laura StradfordGlobal Healthy Living Foundation, Upper Nyack, NY, USA.
Jeffrey R CurtisUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Patrick ZuegerAbbVie, Chicago, IL, USA.
Fenglong XieIllumination Health, Hoover, AL, USA.
David CurtisGlobal Healthy Living Foundation, Upper Nyack, NY, USA.
Kelly GaviganGlobal Healthy Living Foundation, Upper Nyack, NY, USA.
Cassie ClintonUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Shilpa VenkatachalamGlobal Healthy Living Foundation, Upper Nyack, NY, USA.
Esteban RiveraGlobal Healthy Living Foundation, Upper Nyack, NY, USA.
W Benjamin NowellGlobal Healthy Living Foundation, Upper Nyack, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health. Methods: Newly initiated patients on upadacitinib or adalimumab for RA will be recruited from community settings in the Excellence NEtwork in RheumatoloGY (ENRGY) practice-based research network. Over the period of three to six months, three streams of data will be collected (1) linkable physician-derived data; (2) self-reported daily and weekly ePROs through the ArthritisPower registry app; and (3) biometric sensor data passively collected via wearable. These data will be analyzed to evaluate correlations among the three types of data and patient improvement on the newly initiated medication. Conclusions: Results from this study will provide valuable information regarding the relationships between physician data, wearable data, and ePROs in patients newly initiating an RA treatment, and demonstrate the feasibility of digital data capture for Remote Patient Monitoring of patients with rheumatic disease.

Indexed as

Mobile technologyPatient-generated health dataPatient-reported outcomesPatientsReal world dataReal world evidenceRheumatoid arthritisWearable digital technology

Identifiers

PMID38444876
PMCPMC10912436

What OpenQuestion 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 OpenQuestion graph.