Early intervention studies in infants and preschool children with cystic fibrosis: are we ready?
Bibliographic record
Abstract
Cystic fibrosis (CF) lung disease starts early in life and progresses even in the absence of clinical symptoms. Therefore, sensitive outcome measures to quantify and track these early abnormalities in infants and young children are needed; both for clinical care and interventional trials. Currently, the efficacy of most therapeutic interventions in CF has not been tested in children under the age of 6 years and drug development programmes have focused on assessing safety rather than efficacy in this age group. This article summarises the current status for outcome measures that can be utilised in clinical trials in infants and children with CF. Two methodologies are specifically highlighted in this review; chest computed tomography to assess structural damage of the lung and multiple breath washout as a technique to quantify ventilation inhomogeneity. While not all questions regarding the utility of these outcome measures in infants and young children have been resolved, significant advances have been made and it now appears feasible to design and conduct adequately powered efficacy studies in this age group. This could be a crucial step to further improve outcomes in CF patients as initiating effective treatment early is considered essential to prevent permanent lung damage.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| 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 | 0.002 |
| 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".