Evidence map›Paper›PMID 32590966›Full record

ArticleBMC musculoskeletal disorders2020

Evaluation of Judet view radiographs accuracy in classification of acetabular fractures compared with three-dimensional computerized tomographic scan: a retrospective study.

Sepideh Abdi Tazeabadi, Shima Ghafourian Noroozi, Meysam Salehzadeh, Mansour Bahardoust, Hossein Farahini, Mikaiel Hajializade, Ali Yeganeh

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Algorithms in acetabular fracture classifications.Archives of orthopaedic and trauma surgery · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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 at 2 institutions in 1 country.

Sepideh Abdi TazeabadiResident of Radiology, e Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Shima Ghafourian NorooziDepartment of Radiology, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Meysam SalehzadehResident of Radiology, e Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Mansour BahardoustDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Hossein FarahiniDepartment of Orthopaedics Surgery, Rasul-e Akram Hospital, Iran University of Medical Sciences, Nyaiesh Ave, Tehran, Iran.
Mikaiel HajializadeDepartment of Orthopaedics Surgery, Rasul-e Akram Hospital, Iran University of Medical Sciences, Nyaiesh Ave, Tehran, Iran.
Ali YeganehDepartment of Orthopaedics Surgery, Rasul-e Akram Hospital, Iran University of Medical Sciences, Nyaiesh Ave, Tehran, Iran. draliyeganeh471@gmail.com.
Iran University of Medical Sciences · IRRasool Akram Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the current diagnostic procedure, generally, both plain radiographs and 3D-CT scans are used for the diagnosis of acetabular fractures. There is no consensus regarding the value of a three-dimensional computerized tomographic (3D-CT) scan alone in the classification of acetabular fractures. In this study, we compared the accuracy of 3D-CT scan and plain radiography through the evaluation of their agreement with the intraoperative surgeon's classification.

methodIn a retrospective study, patients who were referred to our center with an acetabular fracture and underwent surgical treatment were included. The classification of acetabular fractures was performed once using Judet view plain radiographs and once using a 3D-CT scan by the corresponding one Experienced musculoskeletal radiologist one independent trauma fellowship-trained orthopaedic who routinely treat acetabular fractures and based on Letournel and Judet classification (17 and 23 years of experience respectively). Cohen's kappa value was used for the assessment agreement between the two imaging modalities, as well as between the imaging modalities and intraoperative classification.

resultsMedical files of 152 patients with acetabular fracture were retrospectively reviewed. A kappa value of 0.236 was obtained as the agreement level between radiographs and intraoperative findings (p < 0.001). A kappa value of 0.943 was obtained as the agreement level between 3D-CT and intraoperative classification (p < 0.001). An agreement level of 0.264 was found between the Judet radiographs and 3D-CT scans (p < 0.001).

conclusions3D-CT scans are reliable enough in the classification of acetabular fractures, and plain radiographs could be omitted to avoid radiation exposure as well as to reduce the cost for patients who sustain acetabular fractures.

Indexed as

AcetabulumAdultFemaleHip FracturesHumansImaging, Three-DimensionalMaleMiddle AgedObserver VariationRadiographyReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedAcetabular fractureJudet viewPlain radiographThree-dimensional computerized tomographic scan

Identifiers

PMID32590966
PMCPMC7320535
OpenAlexW3037753923

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.