Major Cobb Angle Did Not Decrease in 92% of Patients After Vertebral Body Tethering Surgery Following First Erect Radiograph
Bibliographic record
Abstract
Introduction: Much enthusiasm has been generated around vertebral body tethering (VBT) as an alternative to fusion treatment. However, the majority of series report little difference between Cobb angles on the first erect post-operative x-ray and final follow-up, suggesting VBT is not consistently modulating spine growth in a way that significantly affects Cobb Angle. Methods: All AIS patients who underwent VBT with > 2 yrs follow-up between December 2013 and January 2020 in a multi-center registry were reviewed. Change in Cobb angle was calculated by subtracting the Cobb angle at final follow-up from that on first erect postoperative radiographs. A change in Cobb angle ≤5° was considered within normal measurement variability. Results: There were a total of 113 patients who met inclusion criteria with a mean age of 12.9 yrs (SD 1.3) and a mean follow-up of 3.7 yrs (range: 2.0 to 6.8). A mean of 6.6 levels were tethered. Preoperative mean major Cobb angle was 51.1°(range: 32° to 75°), which corrected to a mean major Cobb of 27.4° (range: 10° to 53°) on first erect radiographs. At final follow-up, the mean major Cobb was 31.1°(range: -50° to 69°). 50.4% (57/113) of curves were stable (Cobb angles within 5° of their first erect radiograph on final follow-up). A total of 41.6% (n=47) had > 5° of increase in Cobb angle following the initial erect radiograph. 8% (n=9) showed more than 5° of decrease in Cobb angle during the follow-up period, and 4.4% (n=5) had greater than 10° of correction. 2 of those 5 patients that corrected more than 10° overcorrected, ending up with 30° and 50° curves in the opposite direction. Conclusion: Although this technique holds promise and many of the curves remained stable from first erect to final follow up (50%), only 9/113 VBT patients in this series demonstrated improvement in Cobb angle over time following first erect imaging, including 2 patients that overcorrected. Further research is needed to identify the differentiating factors between those patients that progressed, didn't progress, or overcorrected to determine which patients are more likely to benefit from VBT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".