Epinephrine auto-injectors in Canada: A review of available products and clinical proposals
Bibliographic record
Abstract
Anaphylaxis is a severe reaction with significant associated morbidity and mortality that necessitates prompt on-demand management for patients. Epinephrine administered intramuscularly at a dose of 0.01 mg/kg of body weight, up to a maximum single dose of 0.5 mg at one time, is the first-line treatment for anaphylaxis. Epinephrine auto-injectors (EAIs) are devices designed to deliver a predetermined dose of epinephrine rapidly and reliably into the vastus lateralis muscle of the mid-anterolateral thigh for treatment of anaphylaxis. All commercially available auto-injectors in Canada are fixed-dose delivery systems, therefore titration of epinephrine dose based on patient weight is not possible. In Canada, there are several manufacturers of EAIs, providing treating physicians and patients with a variety of options to treat anaphylaxis in the community. However, as these devices all contain the same medication, physicians may not realize that specific EAIs may be of greater utility in certain clinical circumstances. This scientific review aims to describe all currently available EAIs in Canada, with detailed discussion on the differences between products and the nuances of a patient-centred approach to prescription in a market filled with seemingly “one size fits all” devices.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".