Evidence map›Paper›PMID 33390057›Full record

ArticleActa orthopaedica2021

What is the association between MRI and conventional radiography in measuring femoral head migration?

Hans-Christen Husum, Michel Bach Hellfritzsch, Mads Henriksen, Kirsten Skjaerbaek Duch, Martin Gottliebsen, Ole Rahbek

Open access · goldAbstract readComparative Study
In one paragraph

Article in Acta orthopaedica, 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, top 99% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

6 authors at 2 institutions in 2 countries.

Hans-Christen HusumInterdisciplinary Orthopaedics, Aalborg University Hospital, Aalborg.
Michel Bach HellfritzschDepartment of Radiology, Aarhus University Hospital, Aarhus.
Mads HenriksenDepartment of Radiology, Aarhus University Hospital, Aarhus.
Kirsten Skjaerbaek DuchUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Martin GottliebsenDepartment of Orthopedics, Aarhus University Hospital, Aarhus.
Ole RahbekInterdisciplinary Orthopaedics, Aalborg University Hospital, Aalborg.
Orthopaedic Research · GBAalborg University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose - Pelvic radiographs are traditionally used for assessing femoral head migration in residual acetabular dysplasia (RAD). Knowledge of the heightened importance of cartilaginous structures in this condition has led to increased use of MRI in assessing both osseous and cartilaginous structures of the pediatric hip. Therefore, we assessed the relationship between migration percentages (MP) found on MRI and conventional radiographs. Second, we analyzed the reliability of MP in MRI and radiographs.Patients and methods - We retrospectively identified 16 patients (mean age 5 years [2-8], 14 girls), examined for RAD during a period of 2½ years. 4 raters performed blinded repeated measurements of osseous migration percentage (MP) and cartilaginous migration percentage (CMP) in MRI and radiographs. Pelvic rotation and tilt indices were measured in radiographs. Bland-Altman (B-A) plots and intraclass correlation coefficients (ICC) were calculated for agreement and reliability.Results - B-A plots for MP

Indexed as

Magnetic Resonance ImagingRadiographyChild, PreschoolDevelopmental Dysplasia of the HipFemaleFemur HeadHumansInfantMaleObserver VariationReproducibility of ResultsRetrospective Studies

Identifiers

PMID33390057
PMCPMC8231345
OpenAlexW3119869362

What OpenQuestion holds

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LicenceCC BY
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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.