Esophageal foreign bodies under cricopharyngeal level in children: an analysis of 1116 cases
Bibliographic record
Abstract
Esophageal foreign bodies (FBs) in children are a commonly seen complaint that can cause severe morbidity. Different methods are used for their extraction. We reviewed our cases and described direct extraction technique. The specifications of 1116 children with esophageal FBs between 1990 and 2000 were evaluated. All FB cases were considered emergencies and intervention was performed in the operating theater. Patients with coins were only sedated and relaxed while the FB was removed under direct vision by McGill forceps. Other FBs were removed under general anesthesia by rigid esophagoscope. There were 1035 coins in 1007 patients and 112 other FBs in 109 children. Mean age was 4.2 years, ranging from 1 month to 15 years. Immediate interventions were performed in 16 (1.4%) patients. Reasons included respiratory distress from pressure in eight (five coins, three toy pieces), increased rupture risk after 4 days in three (all coins) and esophageal rupture in five patients. Four (0.3%) perforations occurred during intervention; two (0.02%, 2/1116) arose from coin extraction, and another two (1.8%, 2/109) were caused by esophagoscopic removal. The success rate for esophagoscopic removal was 95.4% (105/109). Three (0.2%) of 1116 patients underwent surgery to remove FBs. All were esophagoscopy patients, thus the surgery ratio for esophagoscopic removal was 2.7% (3/109). If an FB is diagnosed quickly and removed few problems arise. Esophageal coins can be successfully extracted under direct vision.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".