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Record W2730084677 · doi:10.1097/brs.0000000000002307

Impact of Cervical Spine Deformity on Preoperative Disease Severity and Postoperative Outcomes Following Fusion Surgery for Degenerative Cervical Myelopathy

2017· article· en· W2730084677 on OpenAlexaff
So Kato, Aria Nouri, Dongjin Wu, Satoshi Nori, Lindsay Tetreault, Michael G. Fehlings

Bibliographic record

VenueSpine · 2017
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineMyelopathyDegenerative diseaseSurgerySpinal fusionCervical spineSpinal diseaseDeformitySpinal deformityCervical vertebraeSpinal surgeryArthrodesisCentral nervous system diseaseSpinal cordLumbarPathology

Abstract

fetched live from OpenAlex

STUDY DESIGN: Sub-analysis of the prospective AOSpine CSM North America and International studies. OBJECTIVE: The aim of this study was to investigate the impact of cervical spine deformity on pre- and postoperative outcomes in fusion surgeries for degenerative cervical myelopathy. SUMMARY OF BACKGROUND DATA: The associations between cervical alignment and patient outcomes have been reported but are not well established in a myelopathy cohort. The impact of deformity correction in this population also needs to be elucidated. METHODS: A total of 757 patients were enrolled in two prospective international multicenter AOSpine studies. Among those who underwent anterior or posterior fusion surgeries, pre- and 1-year postoperative upright neutral lateral radiographs of cervical spine were investigated to measure C2-7 Cobb angle and C2-7 sagittal vertical axis (SVA). Patient outcome measures included the modified Japanese Orthopedic Association score for myelopathy severity, Neck Disability Index (NDI), and Short-form 36 (SF-36). These scores were compared between patients with and without cervical deformity, which was defined as C2-7 Cobb >10° kyphosis and/or SVA >40 mm. RESULTS: A total of 178 patients were included with complete pre- and postoperative radiographs. SVA significantly increased postoperatively (27.4 vs. 30.7 mm, P = 0.004). All outcome measurement showed significant improvements above minimal clinically important differences. 23.6% of the patients had cervical deformity preoperatively; preoperative deformity was associated with worse preoperative NDI scores (45.7 vs. 38.9, P = 0.04). Postoperatively, those with deformity exhibited significantly lower SF-36 physical component scores (37.2 vs. 41.4, P = 0.048). However, when focusing on the preoperatively deformed cohort, we did not find any significant differences in the postoperative outcome scores between those with and without residual deformity. CONCLUSION: There was a significant association between cervical deformity and both preoperative disease severity and postoperative outcomes; however, no impact of deformity correction was shown. LEVEL OF EVIDENCE: 2.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.345
Teacher spread0.314 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations31
Published2017
Admission routes1
Has abstractyes

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