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Record W2005848088 · doi:10.1159/000007033

The Utility of Four Biochemical Markers in the Triage of Chest Pain Patients

2000· article· en· W2005848088 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsSt. Joseph’s Healthcare HamiltonSt. Joseph's Hospital
Fundersnot available
KeywordsChest painMedicineCoronary artery diseaseUnstable anginaInternal medicineCardiologyMyocardial infarctionCreatine kinaseCardiac markerEmergency departmentTroponin ITroponinMyoglobinTriageAnginaEmergency medicine

Abstract

fetched live from OpenAlex

Four biochemical markers, creatine kinase (CK)-MB isoenzyme, myoglobin, myosin light chains and troponin I, were studied in 1,338 patients presenting to the emergency department with chest pain suggestive of coronary artery disease (CAD). One hundred and eighty-seven patients had an acute myocardial infarction (MI). At least one of the four markers was over the threshold on the first sample in 78% of MI patients, as compared to only 40% with an elevated CK-MB. After 4 h, 88% had at least one marker elevated. None of the 69 patients with atypical chest pain, no history of CAD, no markers over threshold on the first sample and a normal electrocardiogram had an acute MI or unstable angina. If we had discharged this group, we would have saved USD 264,000, estimating a cost of USD 2,000 per day. Using four biochemical markers improved the early diagnosis of CAD and may help identify groups suitable for early discharge.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.155

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.247
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it