Longitudinal Decline in Lung Volume in a Population of Children with Sickle Cell Disease
Bibliographic record
Abstract
RATIONALE: Sickle cell disease (SCD) results in significant morbidity and mortality attributable to pulmonary complications. The pattern of lung function change across childhood in SCD is not well delineated. OBJECTIVES: To determine if the pattern of lung function in SCD differs from race-matched, predicted values across childhood, to describe that pattern of change, and to examine the effect of clinical covariates on lung function. METHODS: Lung function measurements for children with SCD, aged 8-18 years, from a single center were examined for inclusion. Mixed-model analysis was used to retrospectively review lung function in these children in comparison with those predicted by race-matched reference equations. The contribution of age, sex, Hb level, and beta-globin genotype on longitudinal changes in lung function was examined. MEASUREMENTS AND MAIN RESULTS: Children with SCD show significant decline in spirometric lung volumes across childhood that are concordant with the pattern of change in other measures of lung volume. The average decline for FEV(1) and total lung capacity is 2.93 and 2.15% predicted/year for males and 2.95 and 2.43% predicted/year for females. beta-Globin genotypes known to be associated with more severe disease showed a faster decline in lung function, whereas sex showed an inconsistent effect on lung function. CONCLUSIONS: Lung volumes in children with SCD decline with age. The pattern of decline begins in childhood, and supports a predominately restrictive defect.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".