Adolescent Ingestions Presenting to a Pediatric Emergency Department
Bibliographic record
Abstract
Objectives: To evaluate incidence, motives and clinical outcomes of pre-teens and adolescents presenting to a pediatric emergency department with substance ingestions. Methods: A retrospective chart review was conducted of patients aged 10 to 18 year department presenting with substance ingestion, overdose or poisoning to a tertiary care pediatric emergency between January1, -2009 to December 31,2010. Demographic information, type of ingestions, motives and outcome information were collected and analyzed. Results: One hundred patients with a mean age of 15 (STD deviation 2) years were seen during the study period (70 females and 30 males). Psychiatric conditions were present in 50% of the patients (n=50). The most common reason for ingestion was intentional attempted suicide (n=58) followed by intentional abuse (n=30), intentional misuse (n=5) and unintentional ingestions (n=7 of all the ingestions 39% (n=39) needed admission to hospital of whom 2 were admitted to the intensive care unit. Suspected suicides accounted for 92% of admissions. There were no deaths. Conclusions: Vigilance by parents and maintaining open communication with their children while monitoring for self-harm behaviors is important in adolescents age group. Health care professionals should check for mental illness and attempted suicide in adolescents who present with drug or substance ingestions.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".