Efficacy and safety of acupuncture combined with Xuefu Zhuyu Decoction on major adverse cardiovascular events after percutaneous coronary intervention: A protocol for systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Percutaneous coronary intervention (PCI) is an effective treatment for coronary heart disease (CHD). With the merits of small trauma and high success rate, PCI can promote the fast recovery of CHD patients and greatly improve their prognosis and quality of life. However, because PCI does not eliminate the pathogenic factors that lead to atherosclerosis, major adverse cardiovascular events (MACEs) often occur after PCI. These events have become one of the principal factors affecting the long-term outcome of patients after PCI. In China, increasing attention is paid to the use of acupuncture combined with Xuefu Zhuyu Decoction (XFZYD) for the treatment of post-PCI MACEs in clinical practice. Nevertheless, this treatment approach still lacks evidence-based medical evaluation. In this study, a meta-analysis was conducted to evaluate the effectiveness and safety of acupuncture combined with XFZYD in the treatment of MACEs after PCI. METHODS: Randomized controlled trials on the efficacy and safety of acupuncture combined with XFZYD for the treatment of MACEs after PCI were retrieved from CNKI, WanFang, PubMed, Embase, Cochrane Library, Google Scholar and Web of Science databases from the time of database establishment to October 2022. The papers were screened strictly according to the inclusion and exclusion criteria, and the quality of the included studies was assessed using the Risk of Bias 2 (RoB 2) tool. Raw data were extracted from the studies and then a meta-analysis was made using RevMan 5.3 software. RESULTS: The results of this meta-analysis will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will summarize the latest evidence for the efficacy and safety of acupuncture combined with XFZYD in the treatment of MACEs after PCI.REGISTRATION NUMBER: CRD42022365657.
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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 | 0.035 | 0.049 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.025 | 0.035 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.002 |
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".