Frequency of oesophageal foreign bodies ingested by children presenting to the ENT department.
Bibliographic record
Abstract
Objective: To determine the frequencies of different esophageal foreign bodies ingested by children presenting to Ayub Teaching Hospital Abbottabad. Study Design: Cross-sectional study. Setting: Department of Otorhinolaryngology, Ayub Teaching Hospital Abbottabad. Period: 2nd July 2020 to 31st December 2022. Material & Methods: Following the application of inclusion and exclusion criteria, a total of 168 patients, aged between 6 months and 11 years, presenting with suspected esophageal foreign bodies, were included in the study after obtaining written consent. Socio-demographic information, clinical history, and symptoms were carefully recorded. Diagnostic procedures included neck X-rays, extended to the chest, and abdominal X-rays as necessary. Rigid esophagoscopy, performed under general anesthesia, was utilized to confirm and remove foreign bodies. Subsequently, the nature and type of the extracted foreign bodies were identified and documented using a standardized pro forma. Results: The mean age of the patients was 5.63 ± 3.097, ranging from 1 to 11 years. Regarding the gender distribution, 105 (62.5%) were male, and 63 (37.5%) were female. When considering the types of foreign bodies, 129 (76.8%) presented with coins, 12 (7.1%) with metallic objects, 7 (4.2%) with battery cells, and 9 (5.4%) with fruit seeds. Additionally, there were a few cases of chicken bones, fish bones, and safety pins, accounting for 9 (5.4%) in the category of other foreign bodies. Conclusion: This study underscores the frequent occurrence of esophageal foreign body ingestion in young children, particularly males under the age of 5, with coins identified as the predominant culprits.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".