Systematic review with meta-analysis of childhood and adolescent risk and prognostic factors for musculoskeletal pain
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A variety of factors may be involved in the development and course of musculoskeletal (MSK) pain. We undertook a systematic review with meta-analysis to synthesize and evaluate the quality of evidence about childhood and adolescent factors associated with onset and persistence of MSK pain, and its related disability. Studies were identified from searches of electronic databases (PubMed, EMBASE, PsycINFO, CINAHL, and Web of Science), references of included studies, and the Pediatric Pain mail list. Two independent reviewers assessed study inclusion, completed data extraction, and evaluated the quality of evidence using a modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. Thirty-six studies reporting on 21 cohorts were included. These studies examined 65 potential risk factors for onset of MSK pain and 43 potential prognosis factors for persistence of MSK pain. No study was identified that examined prognostic factors for MSK pain-related disability. High-quality evidence suggests that low socioeconomic status is a risk factor for onset of MSK pain in studies exploring long-term follow-up. Moderate-quality evidence suggests that negative emotional symptoms and regularly smoking in childhood or adolescence may be associated with later MSK pain. However, moderate-quality evidence also suggests that high body mass index, taller height, and having joint hypermobility are not risk factors for onset of MSK pain. We found other risk and prognostic factors explored were associated with low or very low quality of evidence. Additional well-conducted primary studies are needed to increase confidence in the available evidence, and to explore new childhood risk and prognostic factors for MSK pain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it