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Record W4413825326 · doi:10.1016/j.spinee.2025.08.336

Anterior vs. posterior approaches in the management of multilevel degenerative cervical myelopathy: a systematic review and meta-analysis

2025· review· en· W4413825326 on OpenAlexaff
Omar Kouli, Lana Al‐Nusair, Ashish Basnet, Radek Kaiser, Michael G. Fehlings, Martin Wilby, Nisaharan Srikandarajah

Bibliographic record

VenueThe Spine Journal · 2025
Typereview
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineMeta-analysisMyelopathySystematic reviewMEDLINESpinal cordInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND CONTEXT: Degenerative cervical myelopathy (DCM) is the commonest cause of spinal cord dysfunction. The optimal surgical approach for multilevel DCM (MDCM) remains debated. PURPOSE: To assess functional, patient-reported, and surgical-related outcomes of anterior and posterior surgical approaches for MDCM. STUDY DESIGN: Systematic review and meta-analysis. OUTCOME MEASURES: Primary outcomes included modified Japanese Orthopaedic Association (mJOA), Neck Disability Index (NDI), pain visual analogue scale (VAS), SF-36, and EQ-5D at ≥1-year. Secondary outcomes included length of stay, C5 palsy, reoperation and intraoperative bleeding. METHODS: Following the PRISMA guidelines, MEDLINE, Web of Science, and Cochrane databases (inception to November 2024) were accessed to search for studies comparing anterior and posterior approaches in adult patients with MDCM spanning ≥2 levels, including cervical spondylotic myelopathy (CSM) and ossification of the posterior longitudinal ligament (OPLL). Meta-extraction was performed independently by multiple reviewers using Covidence. Data were pooled by a random-effects model, with effect sizes reported as mean differences (MDs) and odds ratios (ORs). Mixed-effects meta-regression accounted for baseline variability. Subgroup analyses examined CSM vs OPLL and follow-up duration (1 vs ≥2 years). RESULTS: At final follow-up, the anterior approach demonstrated significantly better mJOA (MD 0.42, 95% CI, 0.20 to 0.64), NDI (MD -1.29, -2.41 to -0.17) and VAS (MD -0.60, -1.04 to -0.17), though did not reach minimal clinically important differences (MCIDs). Quality-of-life measures were comparable. Subgroup analysis further supported anterior surgery across CSM and OPLL groups. Early advantages of anterior surgery in NDI and VAS diminished until becoming nonsignificant at ≥2 years. Anterior surgery resulted in shorter length of stay (LOS) (MD -1.41 days, -1.91 to -0.90) and lower odds of C5 palsy (OR 0.37, 0.28-0.49). CONCLUSIONS: Both surgical approaches yield comparable long-term outcomes, with anterior surgery demonstrating statistically significant early functional advantages, shorter LOS, and lower odds of C5 palsy. However, these advantages diminish over time, with functional improvements not consistently reaching MCIDs. Given the heterogeneity of DCM, surgical decision-making should be individualized, incorporating patient-specific factors and long-term functional priorities to optimize outcomes.

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)0.009
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.030
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.137
GPT teacher head0.376
Teacher spread0.239 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes1
Has abstractyes

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