Evidence map›Paper›PMID 37795318›Full record

ArticleInternational journal of sports physical therapy2023

The MyJump App is a Valid Method of Assessing and Classifying Limb Symmetry During Recovery from Anterior Cruciate Ligament Reconstruction.

Isaac Whiteley, Vasileios Sideris, Roula Kotsifaki, Enda King, Rod Whiteley

Open access · diamondAbstract read
In one paragraph

Article in International journal of sports physical therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 8 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

5 authors at 1 institution in 1 country.

Isaac WhiteleyRehabilitation Qatar Orthopaedic and Sports Medicine Hospital.ORCID https://orcid.org/0009-0001-4761-4443
Vasileios SiderisRehabilitation Qatar Orthopaedic and Sports Medicine Hospital.ORCID https://orcid.org/0000-0001-6373-4982
Roula KotsifakiRehabilitation Qatar Orthopaedic and Sports Medicine Hospital.ORCID https://orcid.org/0000-0002-7902-9206
Enda KingRehabilitation Qatar Orthopaedic and Sports Medicine Hospital.ORCID https://orcid.org/0000-0003-0434-1489
Rod WhiteleyRehabilitation Qatar Orthopaedic and Sports Medicine Hospital.ORCID https://orcid.org/0000-0002-1452-6228
Qatar Orthopaedic and Sports Medicine Hospital · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Jump testing performance and limb symmetry measures are important metrics for clinicians to monitor during rehabilitation after Anterior Cruciate Ligament (ACL) reconstruction, however they require hardware and software which is not commonly available in clinical practice. Video-based solutions may present a feasible alternative, but their veracity in classifying patients using limb-symmetry of 90% has not been established, nor have the clinimetric values for the performance measures been reported in this population. Purpose: To describe the diagnostic accuracy (pass/fail using 90% LSI) and clinimetrics of an iPad-based app ("MyJump") compared to reference force plate analyses for limb symmetry, jump/hop height, contact time, flight time, and reactive strength index. Study design: Prospective cohort, diagnostic accuracy. Methods: Fifty-one consecutive patients recovering from ACL reconstruction undertaking routine independent clinical evaluation of their hop and jump performance were concurrently and independently examined using force plates and the MyJump app. Diagnostic accuracy of MyJump was compared to reference force plate analyses using a criterion of 90% limb symmetry. Results: Diagnostic accuracy of the MyJump app was very good: positive predictive value for jump height was 0.83 and 1.0 for reactive strength index, and negative predictive value was 0.95 and 1.0 for the same metrics, respectively. Of the 131 classifications made using the MyJump app, there were five false positives and three false negatives - all of these were in classification of jump height with no misclassifications of RSI. Irrespective of jump type, the MyJump app displayed excellent reliability (ICC>0.95) for both height and reactive strength index. Minimum detectable changes were approximately 1cm for height, 0.1 for reactive strength index, 0.02s for contact time, and 0.3s for flight time. Conclusion: Where force plates are unavailable, the MyJump app is a valid and reliable substitute for criteria assessment of jump/hop height and reactive strength index in those recovering from ACL surgery using a 90% limb symmetry threshold. The minimum detectable changes vary by metric but are likely sufficiently accurate to detect clinical changes. Level Of Evidence: Level 3.

Indexed as

ApplicationAssessmentHopPerformanceReturn to sportVideo

Identifiers

PMID37795318
PMCPMC10547091
OpenAlexW4387231880

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.