The course of asthma in preschool children with asthma
Bibliographic record
Abstract
<b>Background:</b> Early-onset asthma constitutes an important but understudied asthma group. In addition, early diagnosis of asthma can be limited by difficulty in assessment of true disease. We investigated associations between asthma remission and predictors with a focus on age of asthma onset. <b>Methods:</b> Data was obtained from the Saskatchewan Health databases, which covers 99% of the population in Saskatchewan, Canada. We identified children with a diagnosis of asthma in the first 6 years of life and who had at least 10 years of follow-up after diagnosis (n=22,563). Of these, we included 6,393 children either with persistent asthma [≥ 1 physician visit or hospitalization for asthma (PVHA) at each year of follow-up] and those who had remission (had PVHA in the first year after diagnosis but at some point during the follow-up no longer receives healthcare through a PVHA until the end of the study). We used survival analysis to examine associations between remission and age of asthma onset [≤ 3 years (early-onset) and > 3 years (late-onset)]. <b>Results:</b> Of the study participants, 90.7% had early-onset and 9.3% had late-onset asthma. Over the 10 years of follow-up, 93.5% subjects had remission while 6.5% had persistent asthma. Early-onset asthma (HR = 1.10, 95%CI: 1.00–1.19), being female (HR = 1.12, 95%CI: 1.07–1.18), living in a rural (HR = 1.20, 95%CI: 1.13–1.27) and medium urban (HR = 1.17, 95%CI: 1.08–1.26) location were associated with remission. <b>Conclusion:</b> Asthma remission is more common in those with early-onset compared to those with late-onset asthma. The high proportion of early-onset asthma may reflect the difficulty in distinguishing asthma from other early life respiratory symptoms which may resolve during childhood.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".