Evidence map›Paper›PMID 39976661›Full record

ArticleRheumatology and therapy2025

Clinical Validation and Outcome Measures From Bend Ease: A Novel, Sensor-Based Digital Measurement Tool for Assessing At-Home Morning Stiffness and Spinal Range of Motion in Axial Spondyloarthritis.

Angela Crowley, Lori Siegel, Rebecca Grainger, Dan E Webster, Tiancheng He, Liuqing Yang, Elina Moon, Dee-Dee Shiller, Michelle Crouthamel, Heather Jones and 2 more

Abstract read
In one paragraph

Article in Rheumatology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Angela CrowleyIllinois Bone and Joint Institute, Hinsdale, IL, USA. acrowley@willowrheum.com.ORCID http://orcid.org/0009-0007-5513-7572
Lori SiegelIllinois Bone and Joint Institute, IL, Gurnee, USA.
Rebecca GraingerDepartment of Medicine, University of Otago, Wellington, New Zealand.
Dan E WebsterAbbVie Inc, North Chicago, IL, USA.
Tiancheng HeAbbVie Inc, North Chicago, IL, USA.
Liuqing YangAbbVie Inc, North Chicago, IL, USA.
Elina MoonAbbVie Inc, North Chicago, IL, USA.
Dee-Dee ShillerAbbVie Inc, North Chicago, IL, USA.
Michelle CrouthamelAbbVie Inc, North Chicago, IL, USA.
Heather JonesAbbVie Inc, North Chicago, IL, USA.
Phillip J MeaseRheumatology Research Division, Swedish Medical Center, Providence St. Joseph Health, Seattle, USA.
Jeffrey R CurtisDivision of Clinical Immunology and Rheumatology, The University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo evaluate the accuracy, reliability, and usability of Bend Ease, a novel smartphone-based digital health technology (DHT), which objectively self-measures spinal range of motion (SRoM) and remotely assesses morning stiffness.

methodsThis phase 1 study involved healthy volunteers (HV) and patients with axial spondyloarthritis (axSpA). Participants used Bend Ease by placing a phone against their chest during a forward-flexion bend, and the application collected and processed accelerometry data to measure bend angle in both clinical and at-home settings. Bend Ease measurements were compared to the video-based method (gold standard) and functional ability questionnaires.

resultsThe study included 30 HV and 30 patients with axSpA. Bend Ease accurately measured forward-flexion bend angles, demonstrating strong correlation (r = 0.74) and concordance (ρ

conclusionsBend Ease is an accurate, reliable, and user-friendly tool for assessing SRoM. As the first DHT to objectively evaluate morning stiffness upon waking, Bend Ease provides valuable assessments of spinal mobility when it is most impaired.

Indexed as

Axial spondyloarthritisDigital healthHealth outcome measureMorning stiffnessPhysical functionRange of motionSmartphone application

Identifiers

PMID39976661
PMCPMC11920473

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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.