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Record W4405718858 · doi:10.2106/jbjs.23.00930

Vertebral Body Tethering Surgery

2024· article· en· W4405718858 on OpenAlexaff
Tiffany N. Phan, Tishya A. L. Wren, Michael J. Heffernan, Tyler A. Tetreault, Stefan Parent, Michelle C. Welborn, David L. Skaggs, Kenneth D. Illingworth, Lindsay M. Andras

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsCoronal planeMedicineRadiographySurgeryNuclear medicineAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Much enthusiasm has been generated around vertebral body tethering (VBT) as an alternative to fusion treatment. However, the majority of studies have shown little difference between coronal curve magnitude on the first postoperative erect radiograph and that at final follow-up, suggesting that VBT is not consistently modulating spine growth in a manner that substantially affects coronal curve magnitude. METHODS: All patients with adolescent idiopathic scoliosis (AIS) who underwent VBT between December 2013 and June 2020 and subsequently had at least 2 years of follow-up in a multicenter registry were reviewed. The change in coronal curve magnitude was calculated by subtracting the magnitude at the time of final follow-up from that on the first postoperative erect radiograph. A change of <5° was considered to be within normal measurement variability. RESULTS: One hundred and ten patients met the inclusion criteria (racial breakdown: 94 White, 6 Black/African American, 3 Asian, 2 Middle Eastern, 1 mixed race, and 4 uncertain/unspecified; ethnicity: 87 not Hispanic or Latino, 1 Hispanic/Latino, and 22 did not report their ethnicity). Their mean age was 12.9 years (standard deviation [SD], 1.3 years) and the mean follow-up was 3.7 years (range, 2.0 to 6.9 years). A mean of 6.6 levels were tethered. The preoperative mean coronal curve magnitude was 51.0° (range, 32° to 75°), which corrected to a mean of 27.3° (range, 10° to 53°) on the first postoperative erect radiograph. At the time of final follow-up, the mean coronal curve magnitude was 30.9° (range, -50° to 69°), and 49.1% (54) of the 110 curves were stable (the coronal curve magnitude at final follow-up was within 5° of that on the first postoperative erect radiograph). A total of 42.7% (47) had >5° of increase in coronal curve magnitude following the initial postoperative erect radiograph, whereas 8.2% (9) showed a >5° increase during the follow-up period. Five of the 9 patients (4.5% of the series) had a >10° decrease, with 2 of the 5 having overcorrection, ending up with 31° and 50° curves in the opposite direction. CONCLUSIONS: Although VBT holds promise and many (49.1%) of the 110 curves in this series remained stable from the first postoperative erect to the final follow-up radiograph, only 9 demonstrated a decrease in coronal curve magnitude over time, including 2 that overcorrected. Further research is needed to identify the factors differentiating among patients who had curve progression, did not have progression, or had overcorrection to determine which patients are more likely to benefit from VBT. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.045
GPT teacher head0.276
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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Citations1
Published2024
Admission routes1
Has abstractyes

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