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Record W1972055771 · doi:10.1097/hco.0b013e3283546670

Contemporary pharmacological reperfusion in ST elevation myocardial infarction

2012· review· en· W1972055771 on OpenAlexaff
Robert C. Welsh, Paul W. Armstrong

Bibliographic record

VenueCurrent Opinion in Cardiology · 2012
Typereview
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineReperfusion therapyPercutaneous coronary interventionFibrinolysisMyocardial infarctionGuidelineIntensive care medicineThrombolysisPopulationCardiologyInternal medicinePathology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Fibrinolysis remains a key therapeutic alternative mode of reperfusion in patients with ST segment elevation myocardial infarction (STEMI). Its venerability relates to the wealth of clinical efficacy evidence, ease of administration, and broad applicability to the large number of patients who cannot receive mechanical reperfusion within a reasonable period of time. This review focuses on recent data that will further enhance the clinician's ability to deliver a pharmacological reperfusion strategy to this patient population. RECENT FINDINGS: Combined data from clinical trials as well as registry data support implementation of the guideline endorsed pharmacoinvasive strategy for patients unable to achieve rapid primary percutaneous coronary intervention. The most appropriate mode of reperfusion remains dependent upon the time from symptom onset to presentation as well as perceived delay to initiation of mechanical reperfusion therapy, and one strategy does not fit all patients at all times. Additional information is required in the growing population of elderly patients with STEMI to identify the most appropriate approach to reperfusion in this high-risk population. SUMMARY: Despite extensive investigation concerning the optimal management of STEMI over the last three decades, significant knowledge gaps exist and the efficient application of current evidence to clinical practice remains elusive.

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

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.303
GPT teacher head0.483
Teacher spread0.180 · 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

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2012
Admission routes1
Has abstractyes

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