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Record W2003877938 · doi:10.1007/s11999-011-1783-4

Surgical Technique: Modern Luqué Trolley, a Self-growing Rod Technique

2011· article· en· W2003877938 on OpenAlexaff
Jean Ouellet

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2011
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsMontreal Children's HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineScoliosisSurgeryDeformitySpinal deformity

Abstract

fetched live from OpenAlex

BACKGROUND: The challenge when managing early-onset scoliosis (EOS) is to prevent curve progression while maintaining spinal growth. Current surgical treatments (growing rods, VEPTR) require repetitive interventions to lengthen the implants. QUESTIONS/PURPOSES: We asked whether a modern Luqué trolley construct could achieve and maintain scoliosis correction in EOS during spinal growth without the need for repetitive surgeries, thus decreasing the morbidity of the surgical treatment. METHODS: We retrospectively reviewed five patients who underwent a modern Luqué trolley construct between 2003 and 2008. This construct consists of inserting apical gliding spinal anchors using muscle-sparing techniques to the proximal and distal fixed anchors found in the dual growing rod construct. We documented age at surgery, correction and maintenance of deformity, spinal growth, number of procedures, and complications. RESULTS: The primary curve was corrected from 60° to 21° and was maintained at 21° at a minimum followup of 2 years (mean, 4 years; range, 2-5.5 years). An average of 10 vertebrae was spanned allowing the spine to grow a mean of 3 cm over 4 years, representing a mean of 77% of the expected growth. Two of the five cases outgrew the construct requiring lengthening of rods. One patient had gradual recurrence of deformity without substantial axial growth that required revision surgery after 4 years. CONCLUSION: Modifications of the Luqué trolley may be useful for managing EOS without the morbidity of repetitive surgery. However, questions such as the effect of wear debris and the risk of spontaneous fusions still remain.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.154
GPT teacher head0.441
Teacher spread0.287 · 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

Citations98
Published2011
Admission routes1
Has abstractyes

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