Health‐related Quality of Life in a Prospective Study of Ultrasound to Detect Cystic Fibrosis–related Liver Disease in Children
Bibliographic record
Abstract
OBJECTIVES: Cystic fibrosis liver disease (CFLD) begins early in life. Symptoms may be vague, mild, or nonexistent. Progressive liver injury may be associated with decrements in patient health before liver disease is clinically apparent. We examined Health-Related Quality of Life (HRQOL) in children enrolled in a multi-center study of CFLD to determine the impact of early CFLD on general and disease-specific QOL. METHODS: Ultrasound (US) patterns of normal (NL), heterogeneous (HTG), homogeneous (HMG), or nodular (NOD) were assigned in a prospective manner to predict those at risk for advanced CFLD. Parents were informed of results. We assessed parent/child-reported (age ≥5 years) HRQOL by PedsQL 4.0 Generic Core and CF Questionnaire-revised (CFQ-R) prior to US and annually. HRQOL scores were compared by US pattern at baseline (prior to US), between baseline and 1 year and at 5 years. Multivariate analysis of variance (MANOVA) with Hotelling-Lawley trace tested for differences among US groups. RESULTS: Prior to US, among 515 participants and their parents there was no evidence that HTG or NOD US was associated with reduced PedsQL/CFQ-R at baseline. Parents of NOD reported no change in PedsQL/CFQ-R over the next year. Child-report PedsQL/CFQ-R (95 NL, 20 NOD) showed improvement between baseline and year 5 for many scales, including Physical Function. Parents of HMG children reported improved CFQ-R scores related to weight. CONCLUSIONS: Early undiagnosed or pre-symptomatic liver disease had no impact on generic or disease-specific HRQoL, and HRQoL was remarkably stable in children with CF regardless of liver involvement.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".