Evidence map›Paper›PMID 35357960›Full record

ArticleThe American journal of sports medicine2022

Bony Apprehension Test for Identifying Bone Loss in Patients With Traumatic Anterior Shoulder Instability: A Validation Study.

Michael James, Cory A Kwong, Kristie D More, Justin LeBlanc, Ian K Y Lo, Aaron J Bois

Open access · hybridAbstract read
In one paragraph

Article in The American journal of sports medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. [Research progress of the diagnosis and treatment of anterior shoulder instability].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    Article
  4. Review
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 2 institutions in 1 country.

Michael JamesSection of Orthopaedic Surgery, Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Cory A KwongSection of Orthopaedic Surgery, Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Kristie D MoreSport Medicine Centre, University of Calgary, Calgary, Canada.
Justin LeBlancSection of Orthopaedic Surgery, Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Ian K Y LoSection of Orthopaedic Surgery, Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Aaron J BoisSection of Orthopaedic Surgery, Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Canada.
University of Calgary · CAAlberta Bone and Joint Health Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of bone loss has important implications for the surgical treatment of patients with recurrent shoulder instability. The bony apprehension test (BAT) is a physical examination maneuver that was designed to improve specificity from the anterior apprehension test (AAT) in detecting critical bone loss. PURPOSE: The purpose of this study was to compare the BAT with the AAT and relocation test based on their abilities to predict critical bone loss. Several well-described criteria were utilized to capture critical (≥25%) and subcritical (≥13.5%) glenoid defects, as well as Hill-Sachs defects (≥19%). The ability of the BAT to predict bipolar bone loss was also assessed, as indicated by engaging Hill-Sachs defects and off-track lesions. STUDY

designCohort study (diagnosis); Level of evidence, 1.

methodsThe study cohort included patients ≥18 years of age who were scheduled to undergo arthroscopic stabilization for traumatic anterior shoulder instability. Notable exclusion criteria included multidirectional shoulder instability, connective tissue disorders, and workers' compensation or litigation cases. Patients underwent physical examination immediately before surgery by the treating surgeon (ie, before the induction of anesthesia). Critical glenoid and humeral bone defects were measured on preoperative computed tomography scans. Hill-Sachs engagement and on- or off-track determination of bone loss were assessed arthroscopically and via computed tomography, respectively.

resultsA total of 52 patients were included in the study. In cases of subcritical glenoid bone loss (≥13.5%) and critical Hill-Sachs defects (≥19%), the BAT had good and fair specificity (82% and 72%, respectively) but poor sensitivity (40% and 39%). The BAT also had poor sensitivity (0%), specificity (67%), and positive predictive value (0%) for higher percentages of glenoid bone loss (≥25%). When engaging Hill-Sachs lesions were assessed, the BAT had excellent specificity (94%) and positive predictive value (94%) but poor sensitivity (43%) and negative predictive value (44%). Furthermore, the BAT performed poorly at predicting off-track humeral lesions. The AAT demonstrated 100% sensitivity and 0% specificity in detecting all measures of bone loss.

conclusionThe BAT performed poorly at identifying subcritical and critical bone loss and was not found to have any clinical value. Future work is needed to identify a physical examination test that could complement advanced imaging for preoperative assessment of critical bone loss.

Indexed as

Joint InstabilityShoulder DislocationShoulder JointArthroscopyCohort StudiesHumansRecurrenceShoulderapprehension testbipolar bone lossphysical examinationshoulder instability

Identifiers

PMID35357960
PMCPMC9069656
OpenAlexW4220654527

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.