Measurement Properties of the Scoliosis Research Society Outcomes Questionnaire in Adolescent Patients With Spondylolisthesis
Bibliographic record
Abstract
STUDY DESIGN: Prospective validation of the Scoliosis Research Society Outcomes Questionnaire French-Canadian version (SRS-22fv) in adolescent patients with spondylolisthesis. OBJECTIVE: To determine the measurement properties of the SRS-22fv. SUMMARY OF BACKGROUND DATA: The SRS-22 is widely used for the assessment of health-related quality of life in adolescent idiopathic scoliosis (AIS) and other spinal deformities. Spondylolisthesis has an important effect on quality of life. The instrument was previously used in this population, although its measurement properties remained unknown. We aim to determine its reliability, factorial, concurrent validity, and its discriminant capacity in an adolescent spondylolisthesis population. METHODS: The SRS-22fv was tested in 479 subjects (272 patients with spondylolisthesis, 143 with AIS, and 64 controls) at a single institution. Its reliability was measured using the coefficient of internal consistency, concurrent validity by the short form-12 (SF-12v2 French version) and discriminant validity using multivariate analysis of variance, analysis of covariance, and multivariate linear regression. RESULTS: The SRS-22fv showed a good global internal consistency (spondylolisthesis: Cronbach α = 0.91, AIS: 0.86, and controls: 0.78) in all its domains for spondylolisthesis patients. It showed a factorial structure consistent with the original questionnaire, with 60% of explained variance under four factors. Moderate to high correlation coefficients were found for specifically corresponding domains between SRS-22fv and SF-12v2. Boys had higher scores than do girls, scores worsened with increasing age and body mass index. Analysis of covariance showed statistically significant differences between patients with spondylolisthesis, patients with AIS, and controls when controlling for age, sex, body mass index, pain, function, and self-image scores. In the spondylolisthesis group, scores on all domains and mean total scores were significantly lower in surgical candidates and in patients with high-grade spondylolisthesis. Low to moderate ceiling effects were shown in function (1.1%), self-image (10.7%), and pain (13.6%). CONCLUSION: The SRS-22fv can discriminate between healthy and spondylolisthesis subjects. It can be used in spondylolisthesis patients to assess health-related quality of life. LEVEL OF EVIDENCE: 4.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".