Evidence map›Paper›PMID 35399987›Full record

ArticleArthroplasty today2022

Comparison of a Smartphone App to Manual Knee Range of Motion Measurements.

Paul W Knapp, Robert A Keller, Kathryn A Mabee, Jing Shi, Raji Pillai, Nicholas B Frisch

Open access · goldAbstract read
In one paragraph

Article in Arthroplasty today, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 13% 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.

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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Paul W KnappAscension Macomb-Oakland Hospital, Madison Heights, MI, USA.
Robert A KellerOrthopaedic Surgery, Ascension Providence Rochester Hospital, Rochester, MI, USA.
Kathryn A MabeeOrthopaedic Surgery, Ascension Providence Rochester Hospital, Rochester, MI, USA.
Jing ShiMedical Affairs Consulting, Inc., San Francisco, CA, USA.
Raji PillaiMedical Affairs Consulting, Inc., San Francisco, CA, USA.
Nicholas B FrischOrthopaedic Surgery, Ascension Providence Rochester Hospital, Rochester, MI, USA.
Providence College · USHealth Affairs · USSt. John Macomb Oakland Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital technology has emerged as a useful tool for preoperative and postoperative patient engagement and for remote patient monitoring. Smartphones are equipped with motion-sensing technology, and apps can be designed which use these features to create a simple method for measuring range of motion. The purpose of this study was to determine the accuracy of digital technology in assessing knee range of motion using a smartphone app, compared to traditional goniometric measurements in an office setting. Methods: Fifty-three (53) patients in a clinical practice were enrolled between October 2019 and March 2020. Three separate measurements were taken during the patient encounter: (1) the surgeon, (2) the app, and (3) the physical therapist. Intraclass correlations were computed to assess the agreement between (1) the surgeon and app and (2) that between the physical therapist and surgeon. Results: When measuring flexion, the correlation between either the surgeon or therapist with the app was good, whereas the comparison between the surgeon and therapist was moderate. All extension measurement comparisons, between the app, surgeon, and therapist, showed moderate correlation. Limits of agreements showed that 80% of the difference between surgeon and app is within 10 degrees for extension and 11 degrees for flexion. Body mass index did not affect the accuracy of the measurements. Conclusion: Digital app measurements were comparable to measurements made by either a surgeon or physical therapist with a manual goniometer in the clinical setting and may be beneficial for measuring and monitoring patients' range of motion remotely.

Indexed as

Digital technologyMusculoskeletal pathologyMusculoskeletal recovery platformRange of motionRemote monitoringTelerehabilitation

Identifiers

PMID35399987
PMCPMC8987335
OpenAlexW4223557527

What OpenQuestion holds

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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.