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Record W4416500384 · doi:10.1302/1358-992x.2025.14.003

A COMPARATIVE STUDY OF PROTOCOLS FOR SPINAL CASTING IN SEVERE EARLY-ONSET SCOLIOSIS: A FOUR-YEAR PROGRESSION-FREE SURVIVAL ANALYSIS

2025· article· en· W4416500384 on OpenAlexaff
J. Dermott, Lauren Switzer, Dong‐Hyun Kim, David E. Lebel

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCastingProportional hazards modelCobb angleScoliosisSurvival analysisHazard ratio

Abstract

fetched live from OpenAlex

Despite spinal casting being widely accepted as a conservative management strategy to control severe early-onset scoliosis (EOS) and delay surgical intervention, there is no consensus on the most appropriate protocol to optimize outcomes. At our institution an intermittent cast protocol was used prior to November 2018, with 2-3 casts applied over 6 months, followed by bracing and consideration of a repeat cast if progression was later noted. A continuous cast protocol was introduced after November 2018 with casts worn 12-16 weeks, often for 2-3 years. The objective of this study was to compare the outcomes of intermittent versus continuous spinal casting protocols, focusing on progression-free survival at 4-years. This was a retrospective review of prospectively collected data of all 43 EOS patients managed with spinal casting, at a single institution that had at least 2 cast applications (intermittent) or over 12 months of casting (continuous), initiated between November 2002-April 2022. The Kaplan-Meier method estimated the probability of progression-free survival at 4 years, defined as the time to curve progression beyond index or definitive surgical decision, whichever occurred first. A Cox Proportional Hazards model considered the association between survival and cast protocol, sex, etiology, age at first cast, pre-cast Cobb angle, and percent correction achieved in first cast. The hazard ratio (HR) of each variable was calculated. Comparative analyses considered change in Cobb angle over time, including correction in first- versus most recent cast. Thirty patients underwent intermittent casting (24 female, 14 idiopathic), and 13 continuous casting (7 female, 5 idiopathic). At baseline both groups were similar in sex (p=0.17), etiology (p=0.87), and Cobb angle (63.5° vs 69.1°, p=0.26) but differed on age of cast initiation (3.89 years vs 2.7 years, p Non-idiopathic etiology and curve stiffness decrease the probability of 4-year progression-free survival for severe EOS patients treated with spinal casting. A continuous cast protocol allows for on-going improvement of in-cast Cobb angle however does not demonstrate a survival advantage in the short term. Both protocols effectively delay surgery in severe EOS patients.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.072
GPT teacher head0.397
Teacher spread0.325 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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