Evidence map›Paper›PMID 29071375›Full record

ArticleDer Unfallchirurg2018

[Influence of trauma mechanisms on thoracic and lumbar spinal fractures].

Cornelius Jacobs, Tony Hartwig, Philip P Rößler, Dan Meila, Igor Nikiforov, Milena M Plöger, Christof Burger, Sebastian Scheidt

Abstract read
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In one paragraph

Article in Der Unfallchirurg, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. A comparative study of the injury patterns and inflammatory response between suicidal and unintentional falls from height in Germany.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
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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

8 authors at 4 institutions in 1 country.

Cornelius JacobsKlinik und Poliklinik für Orthopädie und Unfallchirurgie, Universitätsklinikum Bonn, Sigmund Freud Str. 25, 53127, Bonn, Deutschland. cornelius.jacobs@ukbonn.de.
Tony HartwigDepartment für Bewegungschirurgie, Vivantes Klinikum Spandau, Neue Bergstraße 6, 13585, Berlin, Deutschland.
Philip P RößlerKlinik und Poliklinik für Orthopädie und Unfallchirurgie, Universitätsklinikum Bonn, Sigmund Freud Str. 25, 53127, Bonn, Deutschland.
Dan MeilaKlinik für Radiologie und Neuroradiologie, Sana Klinikum Duisburg, Zu den Rehwiesen 9, 47055, Duisburg, Deutschland.
Igor NikiforovCMSC, Campus Virchow Klinikum, Charité Universitätsmedizin Berlin, Mittelallee 3, 13357, Berlin, Deutschland.
Milena M PlögerKlinik und Poliklinik für Orthopädie und Unfallchirurgie, Universitätsklinikum Bonn, Sigmund Freud Str. 25, 53127, Bonn, Deutschland.
Christof BurgerKlinik und Poliklinik für Orthopädie und Unfallchirurgie, Universitätsklinikum Bonn, Sigmund Freud Str. 25, 53127, Bonn, Deutschland.
Sebastian ScheidtKlinik und Poliklinik für Orthopädie und Unfallchirurgie, Universitätsklinikum Bonn, Sigmund Freud Str. 25, 53127, Bonn, Deutschland.
University Hospital Bonn · DECharité - Universitätsmedizin Berlin · DESana Kliniken Duisburg · DEVivantes Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVertebral body fractures (VBF) can be caused by various trauma mechanisms. The AOSpine classification system differentiates three main types of fractures according to the grade of instability. How the increasing energy of various accident mechanisms changes the complexity of the individual fracture, its localization and the occurrence of further fractures has not yet been finally investigated.

objectiveWhat influence do traumatic events with different kinematics have on the localization, complexity and number of VBF in the thoracic and lumbar spine? MATERIAL AND

methodsIn this retrospective study data from patients with a freshly traumatized VBF were analyzed. The patients were divided into six trauma groups (UFG) depending on the trauma mechanism. The VBF were classified on the basis of computed tomography (CT) imaging according to the AOSpine classification system. Testing was performed bilaterally and a significance level of 5% was used. The statistical calculations were carried out using IBM SPSS Statistics.

resultsA significant increase in the severity of fractures (AO classification) was found in the high energy trauma groups (UFG III and V). In addition, the incidence of thoracic (TH) VBF was significantly increased for TH7 (p = 0.011) and TH10 (p = 0.001). In comparison to the other low energy trauma groups, the risk of a TH7 fracture was 7‑times higher after a high energy trauma (odds ratio OR = 7.0; 95% confidence interval CI = 1.4; 35.2). The UFG III (falls > 3 m) showed the highest number of fractures with a median of 2.5 (SD 1.84) VBF.

conclusionAn exact reproduction of the traumatic event enables a distinction between high and low energy trauma groups to be made. In previous studies traffic accidents were recorded as one group, so an influence of the increasing kinematic energy could not be assessed. The accident kinematics can be taken into account by differentiating between high and low-energy trauma groups. In high-energy accidents the TH7 and TH10 vertebrae were found to be at risk vertebrae. In addition to the force direction, the force strength also has a decisive influence on the distribution pattern of VBF.

Indexed as

Biomechanical PhenomenaHumansLumbar VertebraeRetrospective StudiesSpinal FracturesThoracic VertebraeTomography, X-Ray ComputedWounds and InjuriesAccidentAOSpine classificationKinematicsRisk vertebraVertebral body fractures

Identifiers

PMID29071375
OpenAlexW2766473319

What OpenQuestion holds

Textmetadata
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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.