Aiming for a shorter time to diagnosis: pediatric eosinophilic esophagitis in British Columbia
Bibliographic record
Abstract
Abstract Longer time to diagnosis for patients with eosinophilic esophagitis can lead to adverse patient outcomes, but the length of diagnostic delay has not been quantified for patients with eosinophilic esophagitis in Canada. Our study defines the time to diagnosis (TTD) for pediatric patients with eosinophilic esophagitis in British Columbia and identifies factors that predict increased time to diagnosis. The median TTD was 21 months (1.75 years; IQR = 7, 45) with a median age at EoE diagnosis of 105 months (8.75 years; IQR = 44, 156). Caucasians experienced significantly longer TTD compared to other ethnicities (24 months (IQR = 7, 52) and 12 months (IQR = 4.5, 23) respectively, p = 0.008). Caucasian ethnicity (p = 0.037) and older age at the time of diagnosis (p = 0.006) predicted increased TTD. Our model explained 7.9% (Adjusted R2 = 0.079) of the total variance for our cohort.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".