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Record W2576625442 · doi:10.1055/s-0035-1554219

Comparison of Outcomes between Anterior and Posterior Cervical Procedures: Results of Surgery Involving Four or More Vertebral Levels from the AOSpine North America Cervical Spondylotic Myelopathy Study

2015· article· en· W2576625442 on OpenAlexaff
S. Tim Yoon, Michael G. Fehlings, Branko Kopjar, Paul M. Arnold, Eric M. Massicotte, Alexander Vaccaro, Darrel S. Brodke, Christopher I. Shaffrey, Eric J. Woodard, Robert Banco, Jens R. Chapman, Michael E. Janssen, Christopher M. Bono, Rick Sasso, Mark B. Dekutoski, Ziya L. Gokaslan, Keith W. Michael, Nikhil Thakur, John G. Heller, John M. Rhee

Bibliographic record

VenueGlobal Spine Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineCorpectomyLaminoplastyMyelopathySurgeryLaminectomyPerioperativeCervical vertebraeDecompressionSpinal cord

Abstract

fetched live from OpenAlex

Introduction Debate continues about the relative merits of anterior versus posterior surgery for multilevel cervical stenosis causing myelopathy. Conclusions from previous studies were limited because one- or two-level anterior surgeries have been compared with multilevel posterior cases. The objective of this study was to compare outcomes and complications of anterior versus posterior-based cervical procedures (≥ 4 levels) for patients with multilevel disease. Material and Methods Data from the AOSpine North America Cervical Spondylotic Myelopathy Study, a prospective, multicenter study, were analyzed. A subset of patients with myelopathy involving four or five vertebrae was analyzed in this study. The outcome measures included NDI, modified-Japanese Orthopaedic Association scores, SF36v2, and Nurick grades. Adverse events were also collected in a standardized manner and externally monitored. Rates of perioperative complications (within 30 days of surgery) and delayed complications (31 days–2 years following surgery) were tabulated and stratified based on clinical factors. Results Of the 264 patients in the main study, 113 patients (42.8%) had four or more levels of surgery. There were 49 patients who underwent anterior cervical surgery (ACS, combination of anterior cervical decompression fusion ± corpectomy) and 64 patients who underwent posterior-based cervical surgeries (PCS, 45 laminectomy + fusion, 19 laminoplasty). There were statistically significant differences in age, cardiovascular comorbidities, and source of stenosis between these two groups. There was a statistically significant difference in baseline Nurick grades between groups (2.8 ACS vs. 3.3 PCS, p = 0.0075). There was no difference in any outcome measures at baseline. Outcome scores improved in both the ACS and PCS groups from baseline over a period of 2 years. There were no statistically significant differences between the anterior and posterior surgical procedures in terms of outcomes at 2 years ( p > 0.05). This was true for NDI, mJOA, SF36v2, and Nurick scores for both unadjusted and adjusted analyses. There was no significant difference in complication rates between ACS and PCS groups. Each group had 14 reported complications (total 28). Both the groups reported two postoperative C5 radiculopathies. There was one reoperation in the ACS group. Worsening of neck pain was reported in one patient who had an anterior corpectomy/fusion procedure and there was one case of infection in the PCS group. Two patients in the ACS group had worsening of myelopathy. Conclusion In patients with four or five involved vertebral levels of pathology that require surgical intervention for cervical myelopathy, both anterior and posterior surgical procedures demonstrate improved outcomes. With this dataset, we found no evidence of difference between anterior versus posterior surgical procedures in outcomes or associated complication rates. Surgical decision-making related to approach and technique to address issues in these patients can be made by surgeons based on their judgment and experience with these procedures. The limitations of this study include (1) a nonrandomized study design and (2) the grouping together of different subtypes of anterior or posterior procedures.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.369
Teacher spread0.258 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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