Clinical Features of Pediatric Complex Regional Pain Syndrome
Bibliographic record
Abstract
OBJECTIVES: Complex regional pain syndrome (CRPS) is a painful condition of a limb characterized by a constellation of symptoms. Little is known about the clinical features of pediatric CRPS, with fewer than a dozen studies published to date. The aim of this study was to explore the clinical course of pediatric CRPS, with emphasis on clinical features and disease outcomes. A secondary aim was to discern differences in clinical features of pediatric CRPS with and without related movement disorders, and between children who had a favorable and unfavorable outcome. MATERIALS AND METHODS: We carried out a retrospective chart review of children with CRPS who presented to a pediatric Chronic Pain Clinic in Canada over a 5-year period (2012 to 2016). RESULTS: The study identified 59 children with CRPS (mean age: 12.7±2.5; 74.6% female; 72.9% lower extremity). In total, 87% (n=48) of children experienced complete resolution or significant improvement of CRPS, with a relapse rate of 15%. Overall, 25% (n=15) had a CRPS-related movement disorder. There were no differences in the clinical features of pediatric CRPS with or without related movement disorders. Children who experienced a favorable outcome had a significantly shorter symptom duration at the initial visit in comparison with children who experienced an unfavorable outcome. DISCUSSION: In this cohort, pediatric CRPS was most common in girls around the age of 12, usually in the lower extremity, and most experienced a favorable outcome. Further research is needed to better understand the prognosis and relapse rate of pediatric CRPS.
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".