Bibliographic record
Abstract
INTRODUCTION: Foreign body aspiration is a very serious problem and the diversity of clinical protests in each geographic region has its own characteristics and common problems of childhood that is an important cause of mortality and morbidity. No area is separate from this problem and conducting this research is due to achieve basic information regarding foreign body aspiration. MATERIALS & METHODS: This was performed as descriptive - cross sectional study on 200 cases that has been hospitalized in Imam Khomeini Hospital, Urmia due to foreign body aspiration problem from 2009 to 2011. And all cases of foreign body aspiration records extracted and analyzed using SPSS 16 software. RESULTS: Foreign body aspiration under 4 years was 57% and was more common in males than females; approximately 74% of patients were hospitalized in the first 10 days and 13% of patients did not remember the initial incident that led to the aspiration. Cough and shortness of breath and reduced lung sounds and wheezing were common symptoms. Chest radiographic findings are not specific and can be normal of a high percentage. The most common aspirated foreign body was food especially sunflower seeds. Right bronchus with 55% of cases was more common than the left bronchus and all patients were treated with rigid bronchoscopy, 24% of patients had complications, 15% had hospitalized with pneumonia. Totally, 75% of patients were urban residents. DISCUSSION: We need to understand all the aspects related to foreign body aspiration and education to the community, to recognize symptoms and type of foreign body in terms of geographical area and to create a strong clinical suspicion in physicians and awareness of its prevalence that by reducing the incidence and early detecting and treatment can reduce the mortality and morbidity and prevent additional expenses.
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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 | 0.002 |
| 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 | 0.000 |
| 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".