Psychometric measurement properties of patient-reported and observer-reported outcome measures for spinal mobilisations and manipulation on paediatric subjects with diverse medical conditions: A systematic review
Bibliographic record
Abstract
INTRODUCTION: Reliable, valid, and responsive outcomes is foundational to address concerns about the risks and benefits of performing spinal manipulation and mobilization in pediatric populations. The aim of this systematic review was to synthesize evidence on measurement properties from cohort/case-control/cross-sectional/randomized studies on patient-reported (SQLI - Scoliosis Quality of Life Index; VAS-Visual Analog Scale; PAQLQ - Pediatric Asthma Quality of Life Questionnaire), observer-reported (Crying Diaries; ATEC - Autism Treatment Evaluation Checklist) and mixed (PedsQL - Pediatric Quality of Life Inventory) outcome measurements identified through a scoping review on manipulation and mobilization for pediatric populations with diverse medical conditions. METHOD AND ANALYSIS: Electronic databases, clinicaltrial.gov and Ebsco Open Dissertations were searched up to 21 October 202221 October 2022. Two independent reviewers selected studies, extracted data, and assessed risk of bias. Qualitative synthesis was performed using COSMIN and Cochrane GRADE methodology to establish the certainty of evidence and overall rating: sufficient (+), insufficient (-), inconsistent (±), indeterminate (?). RESULTS: Eighteen studies (2 SQLI for scoliosis; 1 VAS - perceived influence of exertion or movement/position on low back problems; 1 PAQLQ for asthma; 1 Crying Diaries for infantile colic; 8 ATEC for autism; 5 PedsQL for cerebral palsy/scoliosis/healthy) with 9653 participants were selected. ATEC and PedsQL had overall sufficient (+) measurement properties with moderate certainty evidence. PAQLQ had indeterminate measurement properties with moderate certainty evidence. Very low certainty of evidence identified measurement properties to be indeterminate (?) for SQLI, Crying Diaries, and VAS- perceived influence of exertion or movement/position on low back problems. CONCLUSION: ATEC for autism and PedsQL for asthma may be a suitable clinical outcome assessment (COA); additional validation studies on responsiveness and the minimal important difference are needed. Other COA require further validation.
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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 | 0.057 | 0.237 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.012 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".