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Record W2361426932

[Two year follow-up of acute ischemic syndrome without ST elevation].

2005· article· en· W2361426932 on OpenAlexaboutno aff
Huiqiong Tan, Jun Zhu, Yan Liang, Yan Zhang, Lisheng Liu

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUnstable anginaMyocardial infarctionInternal medicineAcute coronary syndromeDiabetes mellitusCardiologyCoronary artery diseaseST elevationAnginaClopidogrel
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To analyze the characteristics, treatment, and natural course during two years of the patients with acute coronary ischemic syndrome (ACS) without ST elevation in China as a part of the international multicentre registry of acute ischemic syndrome, Organization to Assess Strategies for Ischemic Syndromes (OASIS). METHODS: 2294 patients with ACS without ST elevation, including unstable angina pectoris and non-Q-wave myocardial infarction, aged 63 +/- 8, 62.3% being males, were registered and observed for 2 years based on informed consent in the northwest, north, and northeast China. The specific clinical protocols for patients were decided by the attending physicians without outside intervention. The patients' clinical characteristics, treatments, major events in hospital, and natural course of disease during the period of two years were recorded by filling in Case Report Forms offered by Canadian Cardiovascular Collaboration. RESULTS: 89.8% of the patients showed abnormal ECG. The most probable clinical diagnosis on admission was unstable angina in 88.5% of the patients and non-Q-wave myocardial infarction in the other 11.5%. 56.2% of the patients had past history of coronary artery disease, and nearly half of them had myocardial infarction. 57.4%, 18.3%, 47.6%, and 7.1% of them had the prior history of hypertension, diabetes, cigarette smoking and stroke respectively. During hospitalization, anti-platelet therapy and nitrate were used in 94.5% and 96.6% of the cases respectively, and 67.5%, 57.4%, and 59.1%t of them took beta-blockers, calcium antagonists and angiotensin-converting enzyme inhibitor (ACEI) respectively simultaneously. The medication rate dropped by 20.2% approximately 50.2% after discharge from hospital. During the two-year follow up the therapeutic rates of anti-platelets, nitrates, beta-blockers, calcium antagonists, and ACEI were 73.8%, 69.4%, 43.9%, 35.8%, and 31.6% respectively. During the 2 years 43.1%, 23.1%, and 8.2% of the patients underwent coronary angiography, percutaneous coronary intervention (PCI), and coronary artery bypass graft surgery (CABG) respectively. The two-year total mortality was 8.0%. The most common causes of death were severe arrhythmias or sudden death with an incidence of 4.3%. The major events were refractory angina, heart failure, new MI, stroke, and major bleeding with incidence rates of 29.4%, 15.4%, 7.9%, 4.8%, and 0.3%, respectively. CONCLUSION: Most patients with acute ischemic syndrome without ST elevation in China are diagnosed as unstable angina. The patients with acute ischemic syndrome are diagnosed as unstable angina mostly in China. More than half of the patients are treated with anti-platelets, nitrates, beta-blockers, calcium antagonists, and ACEI during hospitalization. The medication rate gradually decreases after discharge. The two-year mortality is 8.0%. The most common causes of death include severe arrhythmias and sudden death.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.296
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations4
Published2005
Admission routes1
Has abstractyes

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