THREE MONTHS CLINICAL OUTCOMES OF DRUG ELUTING STENTS IN PATIENTS WITH STABLE ANGINA PECTORIS
Bibliographic record
Abstract
Objective: The objective of this study was to determine the frequency of three months clinical outcomes of Drug Eluting Stents in patients with stable angina pectoris. Methodology: This was a cross sectional descriptive study. Patients who were admitted to Cardiology unit Lady Reading Hospital through OPD or casualty department were included in the study. Our study included all the patients with stable coronary artery disease who had received Drug eluting stents from April 01 2011 to July 31 2012. The total study duration was 15 months. The primary end points were, rate of Myocardial infarction (MI), unstable angina(UA) and positive ETT at three months. All patients who underwent Percutaneous coronary intervention with Drug eluting stent for stable angina pectoris were followed and reassessed after 3 months from the index procedure. Exercise Tolerance Test (ETT) was performed on every patient and recorded on proforma. Data analysis was done using SPSS version 16. Results: A total of 376 patients were included in this study. The mean age was 57±9.313 years. Males were 271(72.1%). Majority of the patients got stented to Left anterior descending and left circumflex arteries. Mean length of drug eluting stent was 27.313±7.235 mm while mean diameter of stent was 2.90±0.2483 mm. About 11 (2.9%) patients suffered from MI. About 26 (6.9%) patients had unstable angina and 37 (9.8%) patients had positive ETT at three months followup post PCI. Conclusion: Short-term results from this study suggest that real-world outcomes among 376 patients are comparable to those reported across other registries and trials, and safety outcomes as measured by rates of MI, UA and positive ETT were low. The long-term safety of drug-eluting stents needs to be ascertained in larger randomized trials. Key Words: Coronary Artery Disease, Drug Eluting Stents, Stable Angina, Percutaneous Coronary Intervention
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".