Point-of-Care Troponin Testing in Patients With Symptoms Suggestive of Acute Coronary Syndrome: Recommendations
Bibliographic record
Abstract
The American Cardiovascular Society recommends measuring cardiac troponin (cTn) I or T levels in patients presenting with symptoms of acute coronary syndrome (ACS). cTn levels increase with damage to the heart from an insufficient blood supply, and measuring these levels is a sensitive test for the detection of heart muscle damage. However, cTn levels may also be elevated in other conditions, and therefore clinical assessment and electrocardiogram (ECG) findings are also required to diagnose myocardial infarction (MI). ACS includes ST-segment elevation myocardial infarction (STEMI), non-STEMI (NSTEMI), and unstable angina. Because NSTEMI does not exhibit changes typical of an MI on ECG, measurement of cTn is important for diagnosis.Troponin is typically measured by central laboratory testing; however, central laboratories are not always available, particularly in rural or remote settings. Point-of-care (POC) cTn testing therefore has the potential to improve patient care in these settings, reducing unnecessary and often expensive transfers to hospitals, and allowing patients to receive care in their community.To assist decision-makers considering the implementation of POC troponin testing, CADTH conducted a health technology assessment (HTA) on the clinical utility, diagnostic accuracy, and cost-effectiveness of POC troponin testing in different settings. Settings with access to a central laboratory (such as an emergency department [ED]), and settings with no immediate access to a central laboratory (such as rural hospitals or health care centres, remote settings, or remote nursing stations) were considered.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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".