An overview of exposure to ethanol-containing substances and ethanol intoxication in children based on three illustrated cases
Bibliographic record
Abstract
Alcohol addiction and intoxication are major health problems worldwide. Acute alcohol intoxication is well reported in adults and adolescents but less frequently reported in children of younger ages. We report three anonymized cases of pediatric ethanol exposure and illustrate the different mechanisms of intoxication. In all cases, a focused history is the key to prompt diagnosis and timely management. Physicians should be aware of this potential poison in children presented with acute confusional or encephalopathic state. In contrast, neonates with ethanol intoxication may present with nonspecific gastrointestinal symptomatology. Urgent exclusion of sepsis, electrolyte imbalance, drug intoxication, and surgical abdominal condition is critical. Using these illustrated cases, we performed a narrative literature review on issues of exposure to ethanol-containing substances and ethanol intoxication in children. In conclusion, a high level of suspicion and interrogation on ethanol or substance use are essential particularly in the lactating mother for an accurate and timely diagnosis of ethanol intoxication to be made.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".