Traditional Chinese medicine, Danlou tablets alleviate adverse left ventricular remodeling after myocardial infarction: results of a double-blind, randomized, placebo-controlled, pilot study
Bibliographic record
Abstract
Danlou tablets, a patented Chinese Medicine, have been long approved for the treatment of ischemic heart disease in China. While numerous empirical observations suggested Danlou tablets could decrease frequency and duration of angina pectoris attacks, evidence supporting its efficacy on cardiac remodeling remains inadequate. Therefore, this pilot trial was designed to determine whether Danlou tablets would reduce adverse left ventricular (LV) remodeling in patients with myocardial infarction (MI). Eligible patients with acute MI were enrolled and randomly assigned to Danlou tablets or placebo groups, superimposed on standard treatment for MI. Then, in addition to assessment of the clinical outcome, the changes in LV volumes were evaluated by a serial echocardiography. In total, 83 patients (Danlou tablets 42 and placebo 41) completed 90 days of treatment and had complete baseline and outcome data. Standard echocardiographic evaluations revealed significant differences in the change of LV end-diastolic volume index (LVEDVi) between group of patients treated with Danlou tablets and the placebo group (−4.49 ± 7.29 vs. −0.34 ± 9.01 mL/m2, P < 0.001). The reduction in LVEDVi was independent of beta-blocker, ACE inhibitors/ARBs use. Furthermore, treatment with Danlou tablets significantly reduced LV end-systolic volume index (−4.09 ± 5.85 vs. −0.54 ± 5.72 mL/m2, P < 0.001) and improved the LV ejection fraction (4.83 ± 9.23 vs. 0.23 ± 8.15 %, P < 0.001), as compared to placebo. Meaningfully, the incidence of the major adverse cardiovascular events was also lower in patients receiving Danlou tablets (P < 0.05). Superimposed on the standard pharmacologic treatment, Danlou tablets significantly reversed post-MI adverse LV remodeling, thereby contributed to the overall positive clinical outcome. clinicaltrials.gov identifier NCT02675322 (February 1, 2016).
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".