Internet-delivered Cognitive-Behavioral Intervention for Pain in Pediatric Acute Recurrent and Chronic Pancreatitis: A Multicenter Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVES: Abdominal pain is common and associated with high disease burden and health care costs in pediatric acute recurrent (ARP) and chronic pancreatitis (CP). Despite the effectiveness of psychological interventions in other abdominal pain populations, studies have not evaluated these interventions for pediatric pancreatitis pain. We evaluated the feasibility, acceptability, and preliminary efficacy of internet-delivered cognitive-behavioral therapy (CBT) for reducing pancreatitis-related abdominal pain and improving pain interference, anxiety, depression, activity limitations, and health-related quality of life. METHODS: We enrolled 90 adolescents (ages 10-19, 63% female) with ARP or CP and their parents into this randomized placebo-controlled multicenter trial from 15 INSPPIRE ( IN ternational S tudy Group of P ediatric P ancreatitis: I n search for a cu RE) centers or from the community. Participants were randomly assigned to internet-delivered CBT (WebMAP-CP; n=46) or internet-delivered pain education (WebED; n=44). Assessments were completed pretreatment, at 3 months, and 6 months posttreatment. RESULTS: High feasibility of intervention delivery was demonstrated by strong treatment engagement (>6 of 8 modules completed) in both groups. Treatment acceptability was higher in the WebMAP-CP group compared with WebED. There were no statistically significant between-group differences in pain or health outcomes. CONCLUSIONS: This is the first trial to evaluate the feasibility, acceptability, and preliminary efficacy of internet-delivered CBT for pediatric pancreatitis pain, demonstrating strong feasibility and treatment acceptability. Due to under-enrollment, the trial had reduced statistical power. Future research with a larger sample may build on these findings.
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How this classification was reachedexpand
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".