Prevalence of low back pain in adolescents with idiopathic scoliosis: a systematic review
Bibliographic record
Abstract
BACKGROUND: Adolescent idiopathic scoliosis is the most common spinal deformity occurring in adolescents and its established prevalence varies from 2 to 3%. Adolescent idiopathic scoliosis has been identified as a potential risk factor for the development of low back pain in adolescents. The purpose of this study was to systematically review studies of the prevalence of low back pain in adolescents with idiopathic scoliosis in order to establish the quality of the evidence and determine whether the prevalence estimates could be statistically pooled. METHODS: Systematic electronic searches were undertaken in PubMed, CINAHL, and CENTRAL without any restrictions. Studies were eligible for inclusion if they reported the prevalence of low back pain in adolescents with idiopathic scoliosis. Studies were excluded if they detailed the prevalence of pain in post-surgical subjects or were published in languages other than English or French. Data were reported qualitatively, since there was insufficient evidence for statistical pooling. RESULTS: The electronic search strategies yielded 1811 unique studies. Only two studies fulfilled the eligibility criteria. The prevalence of low back pain in adolescents with idiopathic scoliosis ranged from 34.7 to 42.0%. However, these prevalence estimates should be viewed cautiously as the included studies were at high risk of bias. CONCLUSION: The results of this systematic review indicate that adolescents with idiopathic scoliosis frequently experience low back pain. However, there was insufficient evidence to confidently estimate low back pain prevalence in adolescents with idiopathic scoliosis and further studies are needed in this area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".