Outcomes Evaluating Quality of Life and Their Measurement Properties in Early-onset Scoliosis: A Systematic Review
Bibliographic record
Abstract
INTRODUCTION: Early-onset scoliosis (EOS) is a spinal deformity affecting children under the age of 10. Understanding the impact of EOS on quality of life can be achieved through appropriate patient/carer-reported outcome measures (PROMs). The aim of this systematic review was to identify, evaluate and summarize the evidence for the measurement properties of health-related quality of life (HR-QoL) outcome measures in the EOS population. METHODS: A 2-stage search methodology was conducted across the PubMed, MEDLINE, EMBASE, EMCARE, PsychINFO, and CINAHL databases. Search 1 identified PROMs used to evaluate the quality of life in EOS, and search 2 identified studies of the measurement properties of these PROMs. Two reviewers performed searching, study screening and selection and assessed studies for risk of bias using the Consensus-based Standards for the selection of health Measurement INstruments (COSMIN) Risk of Bias checklist. One reviewer performed data extraction. Evidence for each measurement property per PROM was summarized and evaluated using a modified GRADE approach. RESULTS: Search 1 identified 19 (10 disease-specific, 9 generic) PROMs that have been used to assess HR-QoL or a relevant domain in the EOS population. Search 2 identified only one PROM (the 24-item Early-Onset Scoliosis Questionnaire, EOSQ) with eligible studies (n=4) evaluating measurement properties. There is low-quality evidence for sufficient content validity, very low-quality evidence for sufficient reliability and low-quality evidence for sufficient criterion validity, specifically regarding the pulmonary function domain) of the EOSQ. Construct validity and responsiveness were rated as indeterminate. There were no studies on measurement error. CONCLUSIONS: Our search strategy found that measurement properties have only been evaluated for one PROM, the EOSQ. There is low-quality evidence for sufficient measurement properties for the EOSQ in patients under the age of 10 with EOS. Further research is needed to improve the quality of evidence for EOSQ measurement properties and investigate other PROMs in this population. LEVEL OF EVIDENCE: Level II.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".