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Record W2995116423 · doi:10.55275/jposna-2019-9

Growth Modulation for Childhood Scoliosis: From Where Have We Come, and Where are We Going?

2019· article· en· W2995116423 on OpenAlexaff
Lisa Bonsignore-Opp, Joshua Murphy, David L. Skaggs, Patrick J. Cahill, Laurel C. Blakemore, Stefan Parent, Amer F. Samdani, Tricia St. Hilaire, Michael G. Vitale

Bibliographic record

VenueJournal of the Pediatric Orthopaedic Society of North America · 2019
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsScoliosisModulation (music)PsychologyPhysical medicine and rehabilitationMedicinePhysicsPsychiatryAcoustics

Abstract

fetched live from OpenAlex

Study Design: Literature Review Background: This white paper reviews the early reported outcomes of anterior vertebral body tethering (AVBT) and provides a brief update on the recent changes in regulatory status. Growth modulation by AVBT has the potential to transform scoliosis treatment in children and adolescents by reducing spinal curvature without definitive fusion. To date, nearly all patients with anterior vertebral body tethering (AVBT) have been treated in off-label use, sometimes with controversial indications.  Methods: A literature review was conducted of published papers and abstracts from national conferences.  We searched PubMed for “vertebral body stapling” and “vertebral body tethering,” including only primary research. We also reviewed the last 10 programs of ICEOS, SRS, and POSNA.  Regulatory officials within the spinal device industry and the FDA were also consulted. Results: Early published experience (5 papers) in 67 patients and unpublished data (8 presentations) in over 200 patients suggests that AVBT can effectively prevent curve progression in the majority of skeletally immature patients. Rates of complications and secondary surgery for curve progression or overcorrection are variable and necessitate further investigation. Conclusions: With the recent FDA regulatory approval of the vertebral tether under and Humanitarian Device Exemption (HDE) mechanism, we are poised to better understand the long term outcomes of this novel and potentially disruptive approach to the treatment of pediatric spine deformity. Level V

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)0.000
metaresearch head score (Gemma)0.000
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 score0.040
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.242
Teacher spread0.231 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Pediatric Orthopaedic Society of North AmericaSame topicScoliosis diagnosis and treatmentFrench-language works237,207