Evidence map›Paper›PMID 34174846›Full record

ArticleBMC musculoskeletal disorders2021

Radiographic cortical thickness parameters as predictors of rotational alignment in proximal tibial shaft fractures: a cadaveric study.

Alexander M Keppler, Konstantin Küßner, Anna-Lena Schulze, Eduardo M Suero, Carl Neuerburg, Maximilian Weigert, Christian Braun, Wolfgang Böcker, Christian Kammerlander, Christian Zeckey

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 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 89% 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, 1 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

10 authors at 3 institutions in 1 country.

Alexander M KepplerDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Konstantin KüßnerDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Anna-Lena SchulzeDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Eduardo M SueroDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Carl NeuerburgDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Maximilian WeigertStatistical Consulting Unit, StabLab, Department of Statistics, LMU Munich, Munich, Germany.
Christian BraunInstitute of Legal and Forensic Medicine, University Hospital, LMU Munich, Munich, Germany.
Wolfgang BöckerDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Christian KammerlanderDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Christian ZeckeyDepartment of General, Trauma and Reconstructive Surgery, University Hospital LMU Munich, Marchioninistraße 15, 81377, Munich, Germany. christian.zeckey@ro-med.de.
Ludwig-Maximilians-Universität München · DELMU Klinikum · DERoMed Kliniken · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe treatment of tibial fractures with an intramedullary nail is an established procedure. However, torsional control remains challenging using intraoperatively diagnostic tools. Radiographic tools such as the Cortical Step Sign (CSS) and the Diameter Difference Sign (DDS) may serve as tools for diagnosing a relevant malrotation. The aim of this study was to investigate the effect of torsional malalignment on CSS and DDS parameters and to construct a prognostic model to detect malalignment.

methodsA proximal tibial shaft fracture was set in human tibiae. Torsion was set stepwise from 0° to 30° in external and internal torsion. Images were obtained with a C-arm and transferred to a PC for measuring the medical cortical thickness (MCT), lateral cortical thickness (LCT), tibial diameter (TD) in AP and the anterior cortical thickness (ACT) as well as the posterior cortical thickness (PCT) and the transverse diameter (TD) of the proximal and the distal main fragment.

resultsThere were significant differences between the various degrees of torsion for each of the absolute values of the examined variables. The parameters with the highest correlation were TD, LCT and ACT. A model combining ACT, LCT, PCT and TD lateral was most suitable model in identifying torsional malalignment. The best prediction of clinically relevant torsional malalignment, namely 15°, was obtained with the TD and the ACT.

conclusionThis study shows that the CSS and DDS are useful tools for the intraoperative detection of torsional malalignment in proximal tibial shaft fractures and should be used to prevent maltorsion.

Indexed as

Bone MalalignmentFracture Fixation, IntramedullaryTibial FracturesBone NailsCadaverDiaphysesHumansCortical step signDiameter difference signIntramedullary nailingRotational malalignmentTibial shaft fracture

Identifiers

PMID34174846
PMCPMC8236139
OpenAlexW3176017087

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.