Survey of the Effect of Opioid Abuse on the Extent of Coronary Artery Diseases
Bibliographic record
Abstract
INTRODUCTION: Cardiovascular disease is the most common cause of death in our country. Recently, it has been found that the use of opium like other risk factors can be an independent risk factor for coronary artery disease. Therefore, this study examines the impact of opioid abuse on the extent of coronary artery diseases. METHODS: This study included 1170 individuals, who underwent coronary angiography in Seyed-ol-shohada and Taleghani hospitals, Urmia in 2012, were enrolled. The demographic data included age, sex, medical history, including history of diabetes, hypertension, heart disease and a history of opioid abuse and duration of smoking were extracted and entered in a questionnaire. RESULTS: The results of this study showed that 121 had taken opium and 1049 patients had not taken the drug. The results of this study showed that coronary artery disease (CAD) in patients with drug use (88.5%) was significantly higher than the group without drug use (72.2 %) (P=0/000). However, significant differences are not exist between the two groups regarding the number of affected coronary arteries (P=0.679). CONCLUSION: although risk factors of CAD such as HTN and DM is higher in patients without opium addiction than in addicted patients, but CAD was more created in patients using drugs and this suggests drugs as an important risk factor for coronary artery disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".