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Colchicine for Major Adverse Cardiovascular Events: An Updated ChatGPT-Assisted Systematic Review and Meta-Analysis
Lefteris Teperikidis1,2,3, Aristi Boulmpou3, Manisha Chownk1
1Synthesa, Inc., New York, NY.
Colchicine shows promise in reducing major adverse cardiovascular events (MACE) for heart disease prevention. However, its impact on specific events like heart attack and stroke requires further investigation.
Area of Science:
- Cardiology
- Pharmacology
- Artificial Intelligence in Medicine
Background:
- Colchicine, an anti-inflammatory drug, has been explored for cardiovascular prevention.
- Previous randomized trials on its efficacy have yielded inconsistent results.
Purpose of the Study:
- To evaluate the efficacy and safety of colchicine in reducing major adverse cardiovascular events (MACE) and its components.
- To assess the utility of ChatGPT as an AI assistant in conducting systematic reviews and meta-analyses.
Main Methods:
- Systematic identification and meta-analysis of 11 randomized trials involving 30,888 patients.
- Data extraction, risk of bias assessment, and statistical analysis were performed with ChatGPT assistance under human supervision.
Main Results:
- Colchicine significantly reduced the risk of MACE (risk ratio 0.75, 95% CI 0.63-0.88).
- No significant reductions were observed for myocardial infarction, stroke, cardiovascular mortality, or all-cause mortality.
- The use of ChatGPT reduced researcher time by over 70% with maintained accuracy.
Conclusions:
- Colchicine may lower the risk of MACE in cardiovascular prevention, although certainty is reduced by specific trial results.
- This study demonstrates the feasibility and efficiency of using large language models like ChatGPT in evidence synthesis.
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