Affiliation:
1. School of Pharmacy, Dali University, Dali, Yunnan, China
2. Department of Pharmacy, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China.
Abstract
Background:
Caffeic acid tablets (CFA) are a proprietary Chinese medicine in treating thrombocytopenia. The efficacy and safety of CFA compared with other platelet-raising drugs for the treatment of thrombocytopenia have been widely reported in the literature, but there is no systematic evaluation. Therefore, we designed this meta-analysis to further establish the efficacy and safety of CFA in treating thrombocytopenia.
Methods:
A computerized search was conducted in the Chinese biomedical database (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang database, Chinese Scientific Journal Database (VIP), PubMed, and Web of Science databases using the keywords “caffeic acid tablets” and “thrombocytopenia.” All randomized controlled trials were selected for the timeframe of build to 02/2023 and then screened and analyzed using RevMan 5.4 and stata17.0 software.
Results:
A total of 35 publications with an overall 2533 patients were included in the study. The results of the meta-analysis showed that CFA were effective in the treatment of thrombocytopenia with a statistically significant difference [relative risk ratio (RR) = 1.24, 95% CI (1.17, 1.31), P < .00001] and in increasing platelet counts [standardized mean difference (SMD) = 1.50, 95% CI (1.09, 1.91), P < .00001], white blood cell count [SMD = 1.08, 95% CI (0.77, 1.39), P < .00001], and neutrophil count [SMD = 0.73, 95% CI (0.19, 1.28), P = .009], and CFA reduced myelosuppression [RR = 0.19, 95% CI (0.1, 0.37), P < .00001] and adverse effects [RR = 0.75, 95% CI (0.58, 0.96), P = .02].
Conclusion:
CFA can effectively improve the clinical outcome of patients with thrombocytopenia with a good safety profile and are worth promoting. However, due to the low quality and small sample size of the included literature, a larger sample size and more standardized, high-quality studies are needed to validate these results.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Cited by
3 articles.
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