Systematic Review: Psychosocial Correlates of Pain in Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: Pain is a common symptom in pediatric inflammatory bowel disease (IBD) and is associated with poor health outcomes, yet additional knowledge about the psychosocial correlates of pain is needed to optimize clinical care. The purpose of this study is to systematically review the psychosocial factors associated with pain and pain impact in youth diagnosed with IBD within a developmentally informed framework. METHODS: Manual and electronic searches yielded 2641 references. Two authors conducted screening (98% agreement), and data extraction was performed in duplicate. Average study quality was rated using the National Institutes of Health Quality Assessment Tool. RESULTS: Ten studies (N = 763 patients; N = 563 Crohn disease, N = 200 ulcerative/ indeterminate colitis) met the inclusion criteria. Findings showed consistent evidence that higher levels of child depression symptoms and child pain catastrophizing were associated with significantly greater pain and pain impact (magnitude of association ranged from small to large across studies). Greater pain and pain impact were also associated with higher levels of child anxiety symptoms, child pain threat, child pain worry, and parent pain catastrophizing. Within the included studies, female sex and disease severity were both significantly associated with pain and pain impact. Study quality was moderate on average. CONCLUSIONS: There is evidence that child psychosocial factors are associated with pain and pain impact in pediatric IBD; more studies are needed to examine parent- and family-level psychosocial factors. Youth with IBD should be routinely screened for pain severity, pain impact, and psychosocial risk factors such as anxiety/depression.
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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 | 0.010 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".