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Record W4408054432 · doi:10.1097/bpo.0000000000002937

The True Cost of Late Presentation in Adolescent Idiopathic Scoliosis: A 5-Year Follow-up Study

2025· article· en· W4408054432 on OpenAlexaff
Dorothy Kim, David E. Lebel, Jennifer A. Dermott

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2025
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineScoliosisCoronal planeBracePresentation (obstetrics)Retrospective cohort studyIdiopathic scoliosisPediatricsSurgeryRachisRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: Adolescent idiopathic scoliosis (AIS) is the most prevalent pediatric spinal condition. During growth, moderate scoliosis is treated with a brace to minimize the risk of progression to the surgical range. However, a minority of patients meet brace indications, with a greater number presenting late, already appropriate for surgery. This study determines the treatment cost differential between brace candidates and late-presenting patients within a public health care setting. METHODS: This is a retrospective review of 373 consecutive AIS patients seen for initial consultation in 2014 and followed for 5 years, with a cost-analysis of the 166 patients that either met brace indications (n=63) or presented late (n=103). Patients meeting the Scoliosis Research Society's brace indications presented with a coronal curve magnitude between 25 and 40 degrees inclusive and were skeletally immature with a Risser ≤2. Late-presenting patients had coronal curve magnitudes of ≥50 degrees (n=73) or were presented with coronal curve magnitudes of >40 degrees and were skeletally immature with Risser ≤2 (n=30). Total treatment cost was estimated for 3 scenarios: (1) use of predetermined cut points for treatment prescription, (2) real-world approximation reflecting actual, nuanced clinical decision-making, and (3) the ideal situation, such that all late patients were instead seen as brace candidates. RESULTS: Each patient who was prescribed a brace and avoided progression to the surgical range saved $23,000 in treatment costs. Eliminating late presentation of AIS would save at least $2 to $3 million per year at a single institution. CONCLUSION: Significant cost savings can be found by optimizing the number of patients treated with a brace and minimizing the number of patients that present late as likely surgical candidates. This study provides financial impetus for early AIS detection, decreasing the number of avoidable surgeries. Scoliosis screening recommendations in primary care should be re-examined, alongside the development of educational tools, equipping primary care providers, and youth and their caregivers with appropriate knowledge on how to identify AIS. LEVEL OF EVIDENCE: Level III-retrospective comparative study.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.326
Teacher spread0.299 · 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.

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

Citations7
Published2025
Admission routes1
Has abstractyes

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