Evidence map›Paper›PMID 35813133›Full record

ArticleJSES international2022

Validity and reliability of a smartphone application for self-measurement of active shoulder range of motion in a standing position among healthy adults.

Hiroki Shimizu, Takanobu Saito, Chika Kouno, Kanako Shimoura, Rika Kawabe, Yuki Shinohara, Kohei Mukaiyama, Chen Changyu, Masaya Kato, Momoko Nagai-Tanima and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JSES international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06926465 (EFFICACY OF ADDING TRUNK INTEGRATED KINETIC CHAIN EXERCISES TO CONVENTIONAL EXERCISE THERAPY PROGRAM IN SUBACROMIAL IMPINGEMENT SYNDROME), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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.

NCT06926465 nacompletednot on this mapstarted 2024, after this paper: background citation

Efficacy of adding trunk integrated kinetic chain exercises to conventional exercise therapy program in subacromial impingement syndrome

TypeinterventionalSponsorCairo UniversityRan2024 to 2025Enrolled30ConditionsSubacromial ImpingementArmsConventional treatment, Trunk integrated kinetic chain exercises
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Hiroki ShimizuHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takanobu SaitoHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Chika KounoHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kanako ShimouraHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Rika KawabeHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuki ShinoharaHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kohei MukaiyamaHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Chen ChangyuHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masaya KatoHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Momoko Nagai-TanimaHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomoki AoyamaHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Shoulder range of motion (ROM) is one of the most important indicators of shoulder disease severity, function, and physical assessment. A universal goniometer (UG) was used as a gold standard for ROM measurement. Recently, smartphone applications for ROM measurement have attracted attention as alternatives to UG. This study aimed to investigate the validity and reliability of active ROM measurements using a smartphone application goniometer that can be used by patients in a standing position. Methods: The dominant shoulders of 19 healthy participants were included in the study. The 2 observers who were physical therapists used the UG, whereas the participants used a smartphone application goniometer to measure the shoulder ROM. A recorder, who is a physical therapist independent of the observer and participant, read and recorded the shoulder ROM measurements. The order of the measurement movements and devices used was randomized. Results: Agreement between the smartphone application goniometer and UG (percentage of participants for whom the difference between the UG and application measurements was within ±20% of the mean of the goniometer and application measurements) ranged between 42% and 100%. The intraclass correlation coefficient values (3, 1) for the agreement between the smartphone application goniometer and UG was between 0.72 and 0.97, showing significant and approximately perfect correlations. Conclusion: High agreement with the UG showed excellent validity, indicating that the smartphone application goniometer used by the participants in the standing position is an excellent method and instrument. The results suggest a simpler, more reliable, practical, and inexpensive method for measuring ROM required for telerehabilitation.

Indexed as

GoniometerIntraclass correlation coefficientReliabilityShoulder range of motionSmartphoneValidity

Identifiers

PMID35813133
PMCPMC9264016
OpenAlexW4229005298

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.