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Record W4414939738 · doi:10.1097/brs.0000000000005532

Comparison between Magnetically Controlled Growing Rods and Spinal Growth Guidance Surgery for Idiopathic Early Onset Scoliosis

2025· article· en· W4414939738 on OpenAlexaff
Francisco José García‐Peñalvo, Jennifer Hurry, R. McCarthy, Ron El‐Hawary, Joshua M. Pahys, Scott J. Luhmann

Bibliographic record

VenueSpine · 2025
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsCoronal planeScoliosisRachisIdiopathic scoliosisSpinal fusionMinimal clinically important difference

Abstract

fetched live from OpenAlex

STUDY DESIGN: Retrospective cohort. OBJECTIVE: Compare spinal growth guidance surgery (SpGG) and magnetically controlled growing rods (MCGR) outcomes in idiopathic early-onset scoliosis (i-EOS) using three-dimensional true spine length (3D-TSL). SUMMARY OF BACKGROUND DATA: SpGG and MCGR are techniques aimed to correct and control severe progressive spine deformity while maintaining growth. Past studies yielded comparable results between constructs using vertical coronal measures, which fail to account for growth outside plane of measurement due to three-dimensional deformity. METHODS: A multicenter database was queried for i-EOS patients undergoing MCGR or SpGG with minimum two-year follow-up. Patients were included with perioperative and two-year measurements. RESULTS: There were 161 patients (99 female; 31 SpGG/130 MCGR), with a mean age at surgery 8.1 years. 19.3% SpGG and 8.5% MCGR underwent repeat surgeries. SpGG reduced scoliosis from 67° to 26° postoperatively to 35° final (46% correction, P =0.02). MCGR reduced scoliosis 71° to 40° postoperatively to 42° final (34% correction, P <0.001). SpGG had greater coronal curve percent correction than MCGR at two years ( P =0.03). SpGG maintained maximal measured kyphosis (MMK) preoperative to immediate postoperative with increase at follow-up (41° to 43° to 50°, P =0.004). MCGR initially decreased postoperatively (49° to 36°, P <0.001) with an increase at final (+6, 42°, P =0.002). There was a significant change in MMK between SpGG and MCGR (SpGG +9 vs. MCGR-7; P <0.001). Total cohort T1 to S1 height increased (281-314 mm) and at two years (336 mm) ( P <0.001). 3D-TSL didn't significantly change preoperative to immediate postoperative (338-342 mm) for either construct. At two-year SpGG 3D-TSL increased 16.8 mm/y, whereas MCGR increased 14.2 mm/y ( P =0.2). CONCLUSIONS: At two years, 3D-TSL increased for 14.2 mm/y for MCGR and 16.8 mm/y for SpGG. Overall, SpGG and MCGR offer similar outcomes two years postoperatively as assessed by 3D-TSL. SpGG had greater coronal curve percent correction and maintained maximal kyphosis.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.347
Teacher spread0.312 · 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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