Chronic pain in pediatric patients: epidemiology, pathophysiology, and mitigation strategies
Bibliographic record
Abstract
PURPOSE OF REVIEW: To provide an updated summary on the epidemiology, pathophysiology, and treatment strategies of chronic pain in pediatric patients and its differences with chronic pain in adults. RECENT FINDINGS: Chronic pain in children is common, can be debilitating and can progress into adulthood, thus it requires an interdisciplinary evaluation and management. Targeting interdisciplinary care, including psychology, physical, and/or occupational therapy, has been shown to improve pain and function. Recent decline in mental health post pandemic has correlated with increase in pediatric chronic pain thus the need to identify patients at risk and offer early interdisciplinary treatment. SUMMARY: Chronic pediatric pain should be addressed under the biopsychosocial model, where the biological, psychological, and social factors are evaluated on how they influence the pain perception, pain experience, functional ability, and treatment focus. Pain education to patients and their families is the crucial initial step towards a functional rehabilitation of pain.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".