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Record W7034348039

Subaxial Cervical Spine Injuries: Treatment Recommendations of the German Orthopedic and Trauma Society

2017· article· en· W7034348039 on OpenAlexaboutno aff

Bibliographic record

VenueKölner Universitäts PublikationsServer (Universität zu Köln) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsOrthopedic surgeryCervical spineCervical spine injuryDeformityMagnetic resonance imagingArthrodesisAngiography
DOInot available

Abstract

fetched live from OpenAlex

In a consensus process during four sessions in 2016, the working group lower cervical spine of the German Society for Orthopedic and Trauma Surgery (DGOU), formulated Therapeutic Recommendations for the Lower Cervical Spine, taking into consideration the current literature. Therapeutic goals are a permanently stable, painless cervical spine and the protection against secondary neurologic damage while retaining the greatest possible amount of motion and spinal profile. Due to its ease of use and its proven good reliability, the AOSpine classification for subaxial cervical injuries should be used. The Canadian C-Spine Rule is recommended as a clinical decision rule whether to perform imaging or not. If a structural or unstable injury is suspected by patient history or clinical findings, a spiral CT scan of the cervical spine is the favoured diagnosticmodality. Conventional X-ray is reserved for patients in whom there is no dangerous mechanism of injury. MR imaging is recommended in case of unexplained neurologic deficit, prior to closed reduction and open posterior surgery and to exclude disco-ligamentous injuries. Urgency of MR imaging depends on the specific findings. CT angiography is recommended in higher-grade facet joint injuries or in the presence of vertebra-basilar symptoms. Flexion-extension imaging is recommended only as a physician-guided dynamic fluoroscopy, when an unstable lesion is still suspected. The therapeutic strategy is mainly dependent on morphologic criteria, which are described using the AOSpine classification. A0-injuries are treated conservatively. A1- and A2-injuries are treated conservatively in the majority of cases, and in single cases a gross kyphotic deformity might indicate surgical stabilisation. A3-injuries do indicate a surgical therapy in the majority of cases, but certain cases might be treated conservatively. A4-fractures as well as B- and C-type injuries are to be treated surgically. Most injuries can be treated by anterior plate stabilisation with interbody support; when a complete burst fracture is present, corpectomy and vertebral body replacement is necessary. In certain cases, an additive posterior or pure posterior instrumentation might be possible or even mandatory. In most of these cases, lateral mass screws are sufficient; when pedicle screws are applied in C3 to C6, a 3D-navigation system is recommended. Injuries in an ankylosing spine (M3-modifier) should be treated preferably from posterior with long-segment instrumentation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.256
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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