Multidisciplinary Approach to Recurrent Upper Respiratory Tract Diseases in Children. Intermediate Study Results
Bibliographic record
Abstract
The issue of recurrent upper respiratory tract diseases in children is common and relevant. Commonly this pathology is associated with other diseases that lead to the prolonged, complicated, or chronic course of the inflammatory process in the upper respiratory tract. Objective. The aim of the study is to improve management principles for children with recurrent upper respiratory tract diseases according to the developed multidisciplinary and personalized approach (modern methods of diagnosis and health monitoring) for achieving long-term remission. Methods. The study included 65 children aged from 3 to 17 years 11 months with recurrent upper respiratory tract diseases. Examination: nasal, nasopharynx and larynx endoscopy, abdominal ultrasound with aqueous-siphon test, tympanometry, and laboratory tests (complete blood count, evaluation of total and specific IgE levels, antistreptolysin O, nasopharynx and oropharynx microbiological study, enzyme-linked immunosorbent fecal analysis for Helicobacter pylori). Results. 88% of examined children showed allergic pathology according to our study results. Clinical signs of gastroesophageal reflux disease (GERD) were revealed in 30% of children with chronic oropharynx inflammation. GERD signs were revealed both via abdominal ultrasound with aqueous-siphon test and via fiberoptic laryngoscopy and later confirmed by esophagogastroscopy in 8.7% of patients. Obtained data indicates high prevalence of allergic and gastroenterological pathology in children with recurrent upper respiratory tract diseases. Conclusion. Obtained results allow us to establish scientifically multidisciplinary and personalized approach for the management of children with recurrent upper respiratory tract disease. This approach shall include key diagnostic methods required for improvement of comorbid conditions revealing, and achieving and maintaining control over the disease symptoms. The study is currently ongoing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".