Do the Canadian Triage Guidelines Identify the Urgency of Oncological Emergencies
Bibliographic record
Abstract
Background: Triage in an emergency department (ED) plays a pivotal role as the volume of ED visitors is unpredictable. All ED patients are triaged to make sure that patients with urgent or life-threatening conditions are seen immediately while others with more stable conditions are safe to wait. Purpose: To examine the Canadian Triage and Acuity Scale (CTAS) guidelines to determine if the urgency of oncological emergencies can be prioritized appropriately using the CTAS guidelines. Methods: We used the Complaint Oriented Triage (COT 2012), which is an interactive computerized CTAS tool, to triage select oncological emergencies; superior vena cava syndrome, cardiac tamponade, tumor lysis syndrome, and febrile neutropenia. Results: Patients with cancer have a higher acuity compared to many other ED patients. However, most of the oncological emergencies can be subtle and nonspecific. The CTAS guidelines need to be strengthened to better represent the urgency of these life-threatening conditions. Conclusion: Although revisions have been implemented and the reliability of the CTAS tool has improved, the guidelines are designed to be generic and cannot address every health situation. Febrile neutropenia is an excellent example of the additional supports needed at triage to accurately determine the patient’s health status. Knowledge of the signs and symptoms of these emergencies will enable triage nurses to accurately differentiate the urgency of the different presenting complaints. Formalized education that prepares triage nurses to better understand the complexity of the symptom presentation and the needed care for patients with different oncological emergencies is essential.
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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 | 0.003 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".