Score Distribution of the Scoliosis Research Society-22 Questionnaire in Subgroups of Patients of All Ages With Idiopathic Scoliosis
Bibliographic record
Abstract
STUDY DESIGN: Cross-sectional measurement study. OBJECTIVE: To analyze the score distribution of the Scoliosis Research Society (SRS)-22 questionnaire domains and items for patients with idiopathic scoliosis (IS) of all ages. SUMMARY OF BACKGROUND DATA: Scoliosis-related quality-of-life questionnaires have demonstrated high ceiling effects in younger patients. However, the score distribution has not been examined thoroughly in other clinically relevant IS subgroups. METHODS: The SRS-22 was completed by 173 females with IS. The proportions of ceiling effects, floor effects, of patients scoring greater than or equal to 4 out of 5 and the box plots of the score distribution for each domain and item were compared between subgroups. Subgroups were formed based on age (k = 4), management (k = 6), curve severity (k = 3), and curve type (k = 4). RESULTS: Domain ceiling effects varied between 0% and 23.1%. Domain floor effects were observed only for Self-image (<7%) and Satisfaction (<12%). Only Pain and Satisfaction showed moderate (>20%) ceiling effects. Ceiling effects for Pain and Mental Health decreased with increasing age (P < 0.05). Pain ceiling effects decreased and Satisfaction ceiling effects increased from least to most invasive management (P < 0.05), but no differences were found among Cobb severity or curve types subgroups. Of the 22 items, 9 had major (>or=50%) ceiling effects and 11 had moderate ceiling effects. Most subgroups (14/16) had 4 to 6 items with major ceiling effects. The following items had major ceiling effects in the majority of subgroups: Function, 9 and 15; Pain, 11 and 17; and Self-image, 14. CONCLUSION: Most SRS-22 domains had acceptable levels of ceiling effects (<20%) in the majority of the subgroups examined. However, more sensitive measurements may be needed to supplement the SRS-22 in assessing Pain in patients below 18 years or Satisfaction after surgery.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".