Bronchial Asthma among Chechen Republic Schoolchildren: Regional Features
Bibliographic record
Abstract
Background. The widespread increase in allergic diseases incidence is crucial issue of modern pediatrics. Objective. The aim of the study is to analyze the clinical and epidemiological features of bronchial asthma (BA) in schoolchildren of Chechen Republic. Methods. The study included two stages. 3398 children were surveyed via ISAAC questionnaire at the first stage. All participants were represented by 2 age groups: group 1 — 7–8 years old (n=1331), group 2 — 13–14 years old (n=2067). The second study phase covered clinical and diagnostic examination of children with asthma-like symptoms, enrolled by questionnaire (n=52) — 34 first-graders and 18 eighth-graders. Results. BA symptoms were recorded in 18.4% (625) of children (mostly in the older age group) according to the first stage results. Comparative analysis of the BA symptoms has revealed their prevalence in urban residents (p<0.05). BA was diagnosed in only 46.3% (37) of children during the clinical diagnostic stage. There were no statistically significant differences in age groups at the second stage of the study. No gender differences were revealed at both stages. The highest prevalence of verified BA was recorded in urban residents. Sensitization spectrum analysis in children with isolated BA in Chechen Republic has revealed predominance of domestic allergens sensitivity (house dust mites — D. pteronyssinus, D. farinae) and allergic rhinitis to pollen (ragwort, herd grass). Conclusion. Thus, our study results (according to the ISAAC program) have shown high prevalence of BA symptoms in schoolchildren of Chechen Republic at the first stage, however, the second stage indicated that allergy diagnosis cannot be based only on the questionnaire data and requires clinical and diagnostic verification. The identified regional features of the sensitization spectrum will allow physicians to perform economically optimal diagnosis of BA in children living in Chechen Republic.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".