Predictors of Recurrent Ingestion of Gastrointestinal Foreign Bodies
Bibliographic record
Abstract
BACKGROUND: Gastrointestinal foreign bodies are commonly encountered; however, little knowledge exists as to the causes of foreign body ingestions and why they occur repeatedly in some patients. OBJECTIVE: To identify and define patients at high risk for recurrent foreign body ingestion. METHODS: A retrospective chart review of foreign body ingestion was conducted at a tertiary care medical centre over an 11-year period. Variables analyzed included age, sex, incarceration status, Diagnostic and Statistical Manual of Mental Disorders-IV diagnosis, success of endoscopy, type of sedation used, method of extraction, complications, presence of gastrointestinal pathology, and incidence of recurrent food impaction or foreign body. RESULTS: A total of 159 patients with a foreign body ingestion were identified. One hundred fourteen (77%) experienced a single episode of ingestion and 45 (23%) experienced multiple ingestions. Of the patients with multiple ingestions, 27 (60%) had recurrent food impactions while 18 (40%) ingested foreign objects. In the recurrent ingestor group, a psychiatric disorder had been diagnosed in 16 patients (35.6%) and there were 13 incarcerated individuals (28.9%). The average number of recurrences was 2.6 per patient (117 total recurrences). Individuals with a psychiatric disorder experienced 3.9 recurrences per patient, while prisoners averaged 4.1 recurrences per patient. The combination of a psychiatric disorder and being incarcerated was associated with the highest recurrence rate (4.33 per patient). Multivariable logistic regression revealed that male sex (OR 2.9; P=0.022), being incarcerated (OR 3.0; P=0.024) and the presence of a psychiatric disorder (OR 2.5; P=0.03) were risk factors for recurrent ingestion. CONCLUSION: Risk factors for recurrent ingestion of foreign bodies were male sex, being incarcerated and the presence of a psychiatric disorder.
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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 | 0.005 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".