Evidence map›Paper›PMID 36772486›Full record

ArticleSensors (Basel, Switzerland)2023

Reliability of a Wearable Motion Tracking System for the Clinical Evaluation of a Dynamic Cervical Spine Function.

Hamed Hani, Reid Souchereau, Anas Kachlan, Jonathan Dufour, Alexander Aurand, Prasath Mageswaran, Madison Hyer, William Marras

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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. Wearable sensor-based spinal motion assessments for identifying phenotypic clusters in chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  2. Review
  3. Article
  4. Review
  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

8 authors.

Hamed HaniSpine Research Institute, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-6447-717X
Reid SouchereauSpine Research Institute, The Ohio State University, Columbus, OH 43210, USA.
Anas KachlanDepartment of Integrated Systems Engineering, The Ohio State University, Columbus, OH 43210, USA.
Jonathan DufourSpine Research Institute, The Ohio State University, Columbus, OH 43210, USA.
Alexander AurandSpine Research Institute, The Ohio State University, Columbus, OH 43210, USA.
Prasath MageswaranSpine Research Institute, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-0015-8812
Madison HyerCenter for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
William MarrasSpine Research Institute, The Ohio State University, Columbus, OH 43210, USA.

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002733NIEHS NIH HHS 27398C0007NIH HHS UL1 TR002733United States Department of Defense W81XWH20C0007
6 · The paper itself

Abstract

Neck pain is a common cause of disability worldwide. Lack of objective tools to quantify an individual's functional disability results in the widespread use of subjective assessments to measure the limitations in spine function and the response to interventions. This study assessed the reliability of the quantifying neck function using a wearable cervical motion tracking system. Three novice raters recorded the neck motion assessments on 20 volunteers using the device. Kinematic features from the signals in all three anatomical planes were extracted and used as inputs to repeated measures and mixed-effects regression models to calculate the intraclass correlation coefficients (ICCs). Cervical spine-specific kinematic features indicated good and excellent inter-rater and intra-rater reliability for the most part. For intra-rater reliability, the ICC values varied from 0.85 to 0.95, and for inter-rater reliability, they ranged from 0.7 to 0.89. Overall, velocity measures proved to be more reliable compared to other kinematic features. This technique is a trustworthy tool for evaluating neck function objectively. This study showed the potential for cervical spine-specific kinematic measurements to deliver repeatable and reliable metrics to evaluate clinical performance at any time points.

Indexed as

Cervical VertebraeWearable Electronic DevicesHumansNeck PainReproducibility of Resultsinter-raterintra-ratermusculoskeletal disorderneck functionreliabilitywearables

Identifiers

PMID36772486
PMCPMC9920144

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.