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Record W7125550093 · doi:10.3171/2025.7.spine25285

Incomplete (A3) versus complete (A4) thoracolumbar burst fractures: results from a prospective international multicenter cohort study

2025· article· en· W7125550093 on OpenAlexaff
Jin W Tee, Barry T S Kweh, Alexander R Vaccaro, Klaus John Schnake, Mohammad El‐Sharkawi, Eugen C Popescu, Shanmuganathan Rajasekaran, LM Benneker, Sebastian F. Bigdon, John France, Jérôme Paquet, R Todd Allen, William F Lavelle, Miguel Hirschfeld, Spyridon G. Pneumaticos, Richard J Bransford, Andrei Fernandes Joaquim, Harvinder S Chhabra, Ulrich Spiegl, Hauri Dimitri, F Cumhur Oner, Gregory D Schroeder, C. Dandurand

Bibliographic record

VenueJournal of Neurosurgery Spine · 2025
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsUniversity of British ColumbiaUniversité LavalVancouver General HospitalUniversité du Québec à Montréal
Fundersnot available
KeywordsMinimal clinically important differenceProspective cohort studyCohort studyCohortOdds ratioRadiography

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective was to compare incomplete (A3) versus complete (A4) thoracolumbar burst fractures managed nonoperatively or operatively with respect to reaching minimal clinically important difference (MCID) in Oswestry Disability Index (ODI) score. METHODS: A prospective observational international multicenter cohort study was conducted. After stratification using the AO Spine Thoracolumbar Injury Classification System, A3 and A4 outcomes were analyzed separately within nonoperative and operative management groups. Outcomes included absolute and relative improvement in ODI scores between discharge and 12-month follow-up. Kaplan-Meier curves were generated and compared with the log-rank test. Multivariable Cox regression models were constructed. The Cox regression models were adjusted using the key covariates of age, sex, thoracolumbar injury classification and severity (TLICS) score, and the interaction between fracture type and treatment type. Additional adjustment was performed for discharge ODI scores to compare relative improvement. RESULTS: In total, 198 neurologically intact patients were identified, with incomplete fractures (58.6%) being more common than complete burst fractures (41.4%). The rate of nonoperative management was significantly higher among A3 than A4 fractures (48.3% vs 24.4%, p < 0.01). A4 fractures demonstrated a higher mean TLICS score than A3 fractures (2.8 vs 2.4, p = 0.04). There were no significant functional differences in MCID in ODI scores, defined as an improvement in 12.8 points within 1 year after treatment (HR 1.21, 95% CI 0.86-1.70, p = 0.28). Examination of only the surgically treated cohort of patients also revealed no significant difference in achieving relative ODI score improvement within 1 year after treatment between those with A4 and those with A3 fractures (HR 1.19, 95% CI 0.78-1.82, p = 0.43). A similar finding was demonstrated for the nonoperative cohort, with no difference between the incomplete or complete burst fracture morphologies (HR 1.24, 95% CI 0.68-2.27, p = 0.48). Odds of achieving an absolute ODI score of 20 or less were also similar between patients with A4 and A3 fractures, regardless of whether operative (HR 0.81, 95% CI 0.52-1.25, p = 0.34) or nonoperative (HR 0.72, 95% CI 0.38-1.35, p = 0.30) management was pursued. CONCLUSIONS: Patients with A3 and A4 fractures had similar odds to reach MCID in ODI score at 1 year. Even when exclusively considering the nonoperative cohort of patients who sustained A4 fractures with perceived increased biomechanical stability, there was no difference in functional improvement compared to patients with A3 fractures. Further large prospective multicenter studies are required to specifically assess radiographic outcomes and compare surgical approaches in the management of A3 and A4 fractures.

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)0.005
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.343
Teacher spread0.318 · 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
Published2025
Admission routes1
Has abstractyes

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