L’impact de toutes les formes de scoliose de l’enfant sur sa qualité de vie à long terme, une revue systématique
Bibliographic record
Abstract
Background : Scoliosis is a spinal deformity over 10°. It is at the heart of public health issues because its idiopathic type concerns nearly 5% of teenagers. However, the children follow-up is often stopped when they stop growing up, without attention to its impact on his future quality of life. The aim of this study is to evaluate the impact of children scoliosis, never mind its type, on its long-term quality of life with the help of questionnaires SF-36 and SRS-22. Method : Databases as Pubmed and Cochrane have been investigated since 06/11/2023 to 15/02/2024 . To be included, studies have to be observational and to analyze the quality of life of adults diagnosed with scoliosis during childhood compared to healthy controls. The selection, the analyze and the extraction of data have been made by the only author of this literature review. Results : 6 studies have been choose : 1 cohort, 4 cross-sectional and 1 case-control. The risk of bias have been evaluated by Newcastle-Ottawa Scale as weak to moderate. Results seem to show a diminution of quality of life in some of the fields. Discussion : Studies seem to be heterogeneous and biased. The Bradford-Hill criteria demonstrated a non-causal association between scoliosis and diminution of quality of life. GRADE system has shown a very weak proof level. The diagnosis of scoliosis during childhood seems to be non-causally associated to a lower quality of life. These results must be interpreted with carefulness regarding the low proof level of this literature review.
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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 | 0.015 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".