Shenfu injection combined with furosemide in the treatment of chronic heart failure in patients with coronary heart disease
Bibliographic record
Abstract
BACKGROUND: Coronary heart disease (CHD) is an important cause of chronic heart failure, and chronic heart failure is also a serious complication in the end stage of coronary heart disease. At present, there is no specific treatment plan. Shenfu injection has advantages in the treatment of heart failure in patients with coronary heart disease, but there is a lack of standard clinical study to verify this. Therefore, the purpose of this randomized controlled trial is to evaluate the efficacy and safety of Shenfu injection combined with furosemide in the treatment of chronic heart failure in patients with coronary heart disease. METHODS: This is a prospective randomized controlled trial to study the efficacy and safety of Shenfu injection combined with furosemide in the treatment of coronary heart disease and chronic heart failure. This study will be approved by the clinical research ethics committee of our hospital. The patients will be randomly divided into two groups according to 1:1:(a) Shenfu injection combined with furosemide group and (b) simple furosemide group. Standard treatment for 7 days followed up for 30 days at the same time, pay attention to its efficacy and safety indicators. The total effective rate of cardiac function improvement, left ventricular ejection fraction (LVEF), N-terminal pro-brain natriuretic peptide (NT-pro BNP), 6-minute walk test (6-MWTD), and adverse reactions will be observed. Data will be analyzed using the statistical software package SPSS version 25.0 (Chicago, IL). DISCUSSION: This study will evaluate the efficacy and safety of Shenfu injection combined with furosemide in the treatment of coronary heart disease with chronic heart failure. The results of this experiment will provide a clinical basis for Shenfu injection combined with furosemide in the treatment of coronary heart disease and chronic heart failure. OSF REGISTRATION NUMBER: doi: 10.17605/OSF.IO/27FPM.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".