Carbon monoxide poisoning: a comprehensive review for prehospital specialists
Bibliographic record
Abstract
As one of the leading causes of poisonings worldwide, it is imperative that prehospital specialists are aware of carbon monoxide (CO) poisoning and its management. Awareness of the epidemiology, and the common presentations of CO poisoning may lead to prompt evaluation and early initiation of life-saving therapy. Children under 5 years of age have the highest incidence of CO-related ER visits and are at greatest risk of CO toxicity. The clinical features are nonspecific and misdiagnoses are common. Therefore, prehospital providers should have a high index of suspicion for CO intoxication in patients that experience headache, vomiting, or altered level of consciousness following exposure to hydrocarbon combustion within an enclosed space. A carboxyhaemoglobin level is a quick and reliable way to diagnose CO exposure. To prevent complications such as altered cerebellar function, seizures, rhabdomyolysis and dysrhythmias, early recognition and treatment is imperative. Removal from the source of exposure and the provision of 100% oxygen form the cornerstone of management. Preventive strategies should also be explored in susceptible populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".