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Record W4416500291 · doi:10.1302/1358-992x.2025.14.031

CLINICAL OUTCOMES AFTER INDIRECT DECOMPRESSION THROUGH ANTERIOR APPROACHES VERSUS DIRECT DECOMPRESSION WITH POSTERIOR APPROACHES IN LUMBAR INTERBODY FUSION: A PROPENSITY-MATCHED ANALYSIS USING DATA FROM THE CANADIAN SPINE OUTCOMES AND RESEARCH NETWORK

2025· article· en· W4416500291 on OpenAlexaboutno aff
Ramtin Hakimjavadi, Abdullah AlDuwaisan, Tinghua Zhang, Z. De Vries, Stephen Kingwell, A. Stratton, Eve C. Tsai, Eugene K. Wai, Zhonghua Wang, Phillipe Phan

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsOswestry Disability IndexDecompressionPropensity score matchingCohortObservational studyDegenerative disc diseaseCohort studyLogistic regression

Abstract

fetched live from OpenAlex

Lumbar interbody fusion (LIF) is a surgical treatment for degenerative diseases of the lumbar spine. It can be achieved via posterior or anterior approaches. Though posterior approaches are more commonly used, anterior approaches are garnering popularity due to their improved rates of fusion and decreased risk of iatrogenic neurological injury since decompression is achieved indirectly. To date, there is limited comparative evidence supporting the superiority of one surgical approach over another in terms of long-term clinical outcomes. Our objective was to compare long-term (>1 year) outcomes between anterior (indirect decompression) and posterior (direct decompression) approaches to lumber interbody fusion (LIF) surgery by means of a matched cohort using a nationwide, multicenter observational registry. This was a one-to-one propensity score matched analysis. Data were collected for adult patients with a degenerative diagnosis who underwent anterior or posterior LIF between January 1st, 2015, and February 15th, 2022, from the Canadian Spine Outcomes and Research Network national registry, a nationwide multicentre database compiling prospectively collected data from 18 tertiary care academic and non-academic hospitals across Canada. Baseline variables were used in a logistic regression model for calculating the propensity score for being in the anterior or posterior cohort. Patient-reported outcome measures (PROMs) were compared and included numerical rating scales (NRS) for leg and back pain, Oswestry Disability Index (ODI), and the short form (SF)-12 survey at 12 months and 24 months after surgery; and adverse events. There were 1,339 patients who met inclusion criteria. Sixty-seven patients were in the anterior cohort and 1,272 were in the posterior cohort. Before matching, patients in the anterior cohort were significantly younger and had a lower BMI. Following matching, 55 patient pairs were identified, and the mean (SD) ages were 60 (10.5) and 62 (10.7) years (p=0.25), the mean (SD) BMI 27.8 (5.46) and 27.3 (4.88) kg/m2 (p=0.61), and the proportion of females 56.4% and 54.6% (p=0.84) for anterior and posterior cohorts, respectively. At 1-year follow up, patients in the anterior cohort had significantly less back pain (2 vs. 4 NRS, p=0086), however this difference did not persist at 2-years of follow-up. Using prospectively collected data from a large nationwide registry in Canada, we demonstrated that anterior LIF through indirect decompression is associated with less back pain at 1-year follow-up compared to the standard posterior (direct decompression) approaches, but at 2-years follow-up both approaches yielded similar pain relief.

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)0.003
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 score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.229
GPT teacher head0.404
Teacher spread0.176 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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