Can Tissue Expansion Reconstruction in the Trunk of Children Increase the Risk of Scoliosis?
Bibliographic record
Abstract
INTRODUCTION: We hypothesize that treatment of significant truncal lesions with truncal tissue expanders and subsequent flap surgery in pediatric patients may increase the risk of scoliosis. This study aims to investigate any relationship between tissue expansion (TE) and scoliosis and to compare the prevalence of scoliosis in our tissue expander population to the general population. METHODS: Health records of patients who underwent truncal TE at BC Children's Hospital between 1997 and 2017 were retrospectively reviewed and analyzed. The cross-sectional component of the study consisted of radiological imaging to establish the presence or absence of scoliosis. RESULTS: We identified 28 patients who underwent truncal TE over the study period. Ten had a scoliosis X-ray on their chart or as a part of the study. Three (10.7%) patients were identified as having developed scoliosis after TE. CONCLUSIONS: We recommend that pediatric TE patients be made aware of the potential complication of scoliosis and be followed closely in the years during and after their treatment, in order to allow for preventative measures, early diagnosis and early management (if required).
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 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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".