Pain in Youth With Sickle Cell Disease
Bibliographic record
Abstract
OBJECTIVES: Pain is prevalent among youth with sickle cell disease (SCD). However, previous research has been limited by small sample sizes and lacked examinations of developmental differences in pain, which are critical to minimizing the development of chronic pain as youth transition into adulthood. The primary aim of the current study was to compare pain and pain interference across 4 developmental groups in a large sample of youth with SCD. The secondary aim was to identify risk factors for greater pain and pain interference. MATERIALS AND METHODS: Utilizing a cross-sectional study design, the expression and predictors of pain and pain interference were compared across 4 developmental stages: toddlers/preschoolers (2 to 4 y), school-aged children (5 to 7 y), preadolescents (8 to 12 y), and adolescents (13 to 18 y). Participants included 386 youth with SCD and their caregivers. RESULTS: Caregiver-reported pain and pain interference and youth-reported pain interference increased across developmental groups and plateaued approaching adolescence (multivariate analyses of variance P=0.002 for pain and P<0.001 for pain interference). Elevated fatigue, anxiety, and perceived difficulties with pain management were the most robust predictors of higher youth- and caregiver-reported pain (βs ranging from 0.15 to 0.68; P<0.001) and pain interference (βs ranging from 0.18 to 0.64; P<0.001). DISCUSSION: Disease and treatment-related variables were not associated with pain. Self-reported pain was elevated in older versus younger developmental groups and was largely linked to anxiety, fatigue, and perceptions of pain management, thus highlighting the modifiable nature of factors influencing pain among youth with SCD.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".