Evidence map›Paper›PMID 34980996›Full record

ArticleInternational journal of sports physical therapy2021

The Reliability and Validity of a Clinical Measurement Proposed to Quantify Humeral Torsion.

Paul A Salamh, William J Hanney, Lauren Champion, Connor Hansen, Kari Cochenour, Celine Siahmakoun, Morey J Kolber

Abstract read
In one paragraph

Article in International journal of sports physical therapy, 2021. 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

7 authors.

Paul A SalamhKrannert School of Physical Therapy, University of Indianapolis.
William J HanneyDivision of Physical Therapy, University of Central Florida.ORCID 0000-0002-4649-0979
Lauren ChampionKrannert School of Physical Therapy, University of Indianapolis.
Connor HansenKrannert School of Physical Therapy, University of Indianapolis.
Kari CochenourKrannert School of Physical Therapy, University of Indianapolis.
Celine SiahmakounKrannert School of Physical Therapy, University of Indianapolis.
Morey J KolberDepartment of Physical Therapy, Nova Southeastern University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRange of motion (ROM) impairments of the overhead athletes' shoulder are commonly addressed through mobility-based treatments, however, adaptations from humeral torsion (HT) are not amenable to such interventions. A clinical measurement to quantify HT has been proposed, however, the validity is not conclusive. PURPOSE: The primary aim of this study is to determine the intrarater reliability and standard error of measurement (SEM) of the biceps forearm angle (BFA) measurement. The secondary aim of this study is to investigate the convergent validity of the BFA compared to diagnostic ultrasound. STUDY

designCross Sectional Reliability and Validity Study.

methodsHT measurements, utilizing diagnostic ultrasound, were compared to BFA in 74 shoulders (37 subjects) over two sessions. Each measurement was performed three times and a third investigator recorded measures to ensure blinding. Reliability was investigated using utilizing an intraclass correlation coefficient (ICC 3,k).

resultsIntrarater reliability values were 0.923 and 0.849 for diagnostic ultrasound and BFA methods respectively. Convergent validity was

conclusionThe BFA is a reliable clinical method for quantifying HT, however, demonstrates moderate to poor convergent validity when compared to diagnostic ultrasound. LEVEL OF EVIDENCE: 2b.

Indexed as

humeral torsionoverhead athleterange of motionshoulder

Identifiers

PMID34980996
PMCPMC8637300

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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.