Health‐Related Quality of Life in Pediatric Acute Recurrent or Chronic Pancreatitis
Bibliographic record
Abstract
OBJECTIVES: Abdominal pain, emergency department visits, and hospitalizations impact lives of children with acute recurrent pancreatitis (ARP) and chronic pancreatitis (CP). Data on health-related quality of life (HRQOL) in this population, however, remains limited. We aimed to evaluate HRQOL in children with ARP or CP; and test biopsychosocial risk factors associated with low HRQOL. METHODS: Data were acquired from the INternational Study Group of Pediatric Pancreatitis: In search for a cuRE registry. Baseline demographic and clinical questionnaires, the Child Health Questionnaire (measures HRQOL) and Child Behavior Checklist (measures emotional and behavioral functioning) were completed at enrollment. RESULTS: The sample included 368 children (54.3% girls, mean age = 12.7years, standard deviation [SD] = 3.3); 65.2% had ARP and 34.8% with CP. Low physical HRQOL (M = 38.5, SD = 16.0) was demonstrated while psychosocial HRQOL (M = 49.5, SD = 10.2) was in the normative range. Multivariate regression analysis revealed that clinical levels of emotional and behavioral problems (B = -10.28, P < 0.001), episodic and constant abdominal pain (B = 04.66, P = 0.03; B = -13.25, P < 0.001) were associated with low physical HRQOL, after accounting for ARP/CP status, age, sex, exocrine, and endocrine disease (F [9, 271] = 8.34, P < 0.001). Borderline and clinical levels of emotional and behavioral problems (B = -10.18, P < 0.001; B = -15.98, P < 0.001), and constant pain (B = -4.46, P < 0.001) were associated with low psychosocial HRQOL (F [9, 271] = 17.18, P < 0.001). CONCLUSIONS: Findings highlight the importance of assessing HRQOL and treating pain and psychosocial problems in this vulnerable group of children.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".