Evidence map›Paper›PMID 32240531›Full record

ArticleJournal of ultrasound2021

Diagnosing acetabular labral tears with hip traction sonography: a case series.

Jessica Billham, Stacey M Cornelson, Amy Koch, Mero Nunez, Patricia Estrada, Norman Kettner

Open access · greenAbstract read
In one paragraph

Article in Journal of ultrasound, 2021. 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
1.0field-weighted citation impact, top 24% 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, 7 citations in OpenAlex.

  1. Review
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  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jessica BillhamDepartment of Radiology, Logan University, 1851 Schoettler Rd, Chesterfield, MO, USA. Jessica.billham@logan.edu.
Stacey M CornelsonDepartment of Radiology, Logan University, 1851 Schoettler Rd, Chesterfield, MO, USA.
Amy KochDepartment of Radiology, Logan University, 1851 Schoettler Rd, Chesterfield, MO, USA.
Mero NunezDepartment of Radiology, Logan University, 1851 Schoettler Rd, Chesterfield, MO, USA.
Patricia EstradaDepartment of Radiology, Logan University, 1851 Schoettler Rd, Chesterfield, MO, USA.
Norman KettnerDepartment of Radiology, Logan University, 1851 Schoettler Rd, Chesterfield, MO, USA.
Logan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThree cases of acetabular labral tear (ALT) diagnosed with sonography (US) are reported. We aim to show utility for US with the addition of manual hip traction as an adjunctive modality to the current diagnostic imaging of choice, magnetic resonance arthrography (MRA), for diagnosing ALT.

methodsThree cases of young athletic patients with similar clinical presentations are reported. All received US examination of the hip with attention to the labrum that included a novel long-axis hip traction technique which assisted in diagnosing ALT.

resultsIn the first and second cases, MRA and orthopedic consult were obtained for confirmation of the diagnosis. Arthroscopy was performed to correct the ALT. The third patient declined an MRA. Conservative management consisted of McKenzie method active care, resulting in return to sport in the third case.

conclusionThese three cases demonstrate the clinical and sonographic presentation of ALT. The dynamic long-axis hip traction protocol facilitated the use of US as an adjunctive modality for diagnosing ALT by increasing the visualization of the defect.

Indexed as

AcetabulumTractionHumansMagnetic Resonance ImagingRetrospective StudiesSensitivity and SpecificityAcetabular labral tearMagnetic resonance imagingTractionUltrasonography

Identifiers

PMID32240531
PMCPMC8572252
OpenAlexW3014327413

What OpenQuestion holds

Textmetadata
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.