Bibliographic record
Abstract
Objective To assess the efficacy and safety of salvianolate injection in treatment of stable angina pectoris in elderly coronary artery disease patients.Methods A total of 2076 patients with chronic stable angina pectoris ongoing phase Ⅳ non-blinded and self-controlled salvianolate trial in a multicenter were included in this study.They were divided into 75 years old group(n=506) and ≤75 years old group(n=1570),The patients were treated with intravenous salvianolate drip at the dose of 200mg/d for 10-14 days,and the efficacy and safety of salvianolate were then analyzed.Results The frequency of angina pectoris attack decreased from 4.00(2.00,7.00) times per week before treatment to 1.00(0.00,2.00) times per week after treatment(P0.05).The number of nitroglycerin tablets used by the patients decreased from 2.00(2.82,3.65) per week before treatment to 1.00(1.33,2.02) per week after treatment(P0.05).Canadian angina pectoris staging decreased one level or more in 59% of the patients.Twenty-five adverse events occurred during the treatment,including 7 symptomatic adverse events and 18 adverse events detected in laboratory test with an adverse reaction rate of 1%.Conclusion Salvianolate injection for 14 days can effectively decrease the frequency of angina pectoris attack in elderly coronary heart disease patients with a low adverse reaction rate.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".