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Record W2913680798 · doi:10.1097/hpc.0000000000000165

Adherence to NSTEMI Guidelines in the Emergency Department

2019· article· en· W2913680798 on OpenAlexaboutno aff
Harel Gilutz, Sevatlana Shindel, Ilana Shoham‐Vardi

Bibliographic record

VenueCritical Pathways in Cardiology A Journal of Evidence-Based Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcute coronary syndromeTriageEmergency departmentMyocardial infarctionTroponinEmergency medicineUnstable anginaInternal medicineElectrocardiographyMedical recordCardiology

Abstract

fetched live from OpenAlex

BACKGROUND: Adherence to guidelines for the initial treatment of ST-Segment Elevation Myocardial Infarction has been thoroughly studied, whereas the study of emergency department (ED) adherence to guidelines for Non-ST-Segment Elevation Myocardial Infarction-Acute Coronary Syndrome (NSTEMI-ACS) has been much scarcer. The recommended guidelines for the initial prompt workup and treatment of NSTEMI-ACS remains a challenge. AIM: We studied adherence to guidelines for NSTEMI in the ED. METHODS: A single-center, retrospective study of consecutive patients with NSTEMI admitted to a tertiary hospital and discharged alive between March 2013 and March 2014. ED records were manually reviewed for adherence to prespecified parameters. Cases with sudden death, shock, or type-II NSTEMI were excluded. Canadian Triage and Acuity Scale score system was used for triage in the ED. RESULTS: Adherence rates were 33.3%/24.6% of 240 patients for ECG/troponin obtained within 10/60 minutes receptively and 31.3% for anticoagulation within 15 minutes from diagnosis of ACS. Females were less likely to undergo electrocardiography (P = 0.009) or troponin-level tests within the specified timeframe (P = 0.043). Many cardiovascular risk markers were missed. Global Registry of Acute Coronary Events score was not used to risk stratify patients. CONCLUSIONS: Prompt identification and early medical treatment of NSTEMI in the ED is lacking. Better computerized medical history assembly, attention to typical and atypical clinical presentation, and the employment of an appropriate cardiologic risk stratification method may unblind the treating teams at the point of care and improve adherence to NSTEMI guidelines.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.008
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.300
GPT teacher head0.468
Teacher spread0.169 · 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

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2019
Admission routes1
Has abstractyes

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