The first 4 years - Outcome of children identified by newborn screening for CF in Germany
Bibliographic record
Abstract
Background: Newborn screening (NBS) has been shown to improve CF disease course and has been widely implemented worldwide. This monocentric study compared children diagnosed by NBS vs. a cohort preceding the implementation of NBS in Germany in 2016 to evaluate ascribed benefits of NBS. Methods: We compared all children with confirmed CF diagnosis (n=19, “NBS group”) out of all children presenting with positive NBS at our center after implementation of NBS (n=100) to children diagnosed with CF at our center within 4 years before NBS implementation (n=29, “pre-NBS group”) for outcomes of anthropometry, gastrointestinal and pulmonary disease manifestations and respiratory microbiology. Results: Children diagnosed by NBS had a lower incidence of initial feeding problems (15% vs. 41%), had a higher BMI z-score at diagnosis and higher mean z-scores for BMI, weight and length during the study period. Children in the pre-NBS group displayed higher proportions of oxygen-dependent pulmonary exacerbations (10% vs. 0%), a significantly lower amount of normal bacterial flora (p=0.005) along with a significantly higher number of throat swab cultures positive for Pseudomonas aeruginosa (p=0.0154) in the first year of life. Yet, pulmonary imaging did not reveal less pulmonary morbidity in the NBS compared to the pre-NBS group. Conclusions: Our results confirm that NBS for CF leads to earlier diagnosis and improves nutritional outcomes in early childhood. Although trajectories of structural lung damage at early age were unaffected by NBS, NBS positive CF patients at preschool age displayed less severe pulmonary exacerbations and pathological bacteria in throat swabs.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".