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      Efficacy and safety assessment of traditional Chinese patent medicine for dyslipidemia: a systematic review of randomized clinical trials with meta-analysis and trial sequential analysis

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          Abstract

          Background

          The overall prevalence of dyslipidemia continues to increase, which poses a significant risk for coronary artery disease. Some patients with dyslipidemia do not respond to or benefit from conventional lipid-lowering therapy, which warrants the need for alternative and complementary therapies. Chinese patent medicine (CPM) has shown great potential in the treatment of dyslipidemia, but its clinical value needs to be further explored. This study aims to systematically evaluate the efficacy and safety of CPM in treating dyslipidemia.

          Methods

          This study was registered in INPLASY as INPLASY202330090. The randomized controlled trials included in this study were published in January 2013 to March 2023 and retrieved from the Web of Science, PubMed, Embase, Cochrane Library, SinoMed, China National Knowledge Internet, WanFang, and VIP. The bias risk in the study was independently evaluated by two reviewers using the Cochrane Randomized Trial Bias Risk Tool (RoB 2) Review Manager 5.4 software was used for the overall effect analysis and subgroup analysis of four blood lipids, and the trial sequential analysis (TSA) was conducted to check the results.

          Results

          A total of 69 studies were included, involving 6,993 participants. The methodological quality was in the middle level. Meta-analysis showed that CPM markedly improved the levels of total cholesterol (TC) [mean difference (MD) =−0.54 mmol/L; 95% confidence interval (CI): −0.71 to −0.37; P<0.001], triglyceride (TG) (MD =−0.43 mmol/L; 95% CI: −0.53 to −0.33; P<0.001), low-density lipoprotein cholesterol (LDL-C) (MD =−0.40 mmol/L; 95% CI: −0.50 to −0.30; P<0.001) and increased levels of high-density lipoprotein cholesterol (HDL-C) (MD =0.23 mmol/L; 95% CI: 0.18 to 0.27; P<0.001), in patients with dyslipidemia. Though CPM did not differ significantly from statins when used alone, it could improve lipid profile better in all cases when used in combination with statins and with drugs used for comorbidities or co-morbidities. Subgroup analysis found that the efficacy of pill formulations was superior to other formulations, and CPM showed better lipid-lowering response in the context of comorbidity. The TSA confirmed the robustness of the analysis of the LDL-C level. No significant difference was observed in the incidence of adverse events between the treatment group and the control group [risk ratio (RR) =0.89; 95% CI: 0.69–1.16; P=0.40].

          Conclusions

          CPM can yield superior therapeutic effects in ameliorating dyslipidemia without exacerbating adverse effects as an alternative and complementary therapy. In addition, the therapeutic effect can be improved by emphasizing pill formulation and strengthening the standardization of syndromes.

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          Most cited references108

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          RoB 2: a revised tool for assessing risk of bias in randomised trials

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            PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

            The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was developed to facilitate transparent and complete reporting of systematic reviews and has been updated (to PRISMA 2020) to reflect recent advances in systematic review methodology and terminology. Here, we present the explanation and elaboration paper for PRISMA 2020, where we explain why reporting of each item is recommended, present bullet points that detail the reporting recommendations, and present examples from published reviews. We hope that changes to the content and structure of PRISMA 2020 will facilitate uptake of the guideline and lead to more transparent, complete, and accurate reporting of systematic reviews.
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              Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis.

              The comparative clinical benefit of nonstatin therapies that reduce low-density lipoprotein cholesterol (LDL-C) remains uncertain.

                Author and article information

                Journal
                Cardiovasc Diagn Ther
                Cardiovasc Diagn Ther
                CDT
                Cardiovascular Diagnosis and Therapy
                AME Publishing Company
                2223-3652
                2223-3660
                27 June 2024
                30 June 2024
                : 14
                : 3
                : 419-446
                Affiliations
                [1 ]deptBasic Medical College , Zhejiang Chinese Medical University , Hangzhou, China;
                [2 ]deptNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine , Beijing University of Chinese Medicine , Beijing, China;
                [3 ]deptInstitute of Basic Theory for Chinese Medicine , China Academy of Chinese Medical Sciences , Beijing, China;
                [4 ]National Administration of Traditional Chinese Medicine Monitoring and Statistics Research Center , Beijing, China
                Author notes

                Contributions: (I) Conception and design: L Li, Y Fang; (II) Administrative support: Q Wang, Y Zheng; (III) Provision of study materials or patients: R Jia, Y Dong; (IV) Collection and assembly of data: X Liang, T Li; (V) Data analysis and interpretation: Y Fang, H Wu; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                [#]

                These authors contributed equally to this work as co-first authors.

                Correspondence to: Yanfei Zheng, PhD; Lingru Li, PhD. National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, No. 11 North Third Ring East Road, Chaoyang District, Beijing 100029, China. Email: yanfei_z@ 123456163.com ; lilingru912@ 123456163.com ; Qi Wang, PhD. Basic Medical College, Zhejiang Chinese Medical University, Hangzhou, China; National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, No. 11 North Third Ring East Road, Chaoyang District, Beijing 100029, China. Email: wangqi710@ 123456126.com .
                Author information
                https://orcid.org/0000-0003-3716-9304
                Article
                cdt-14-03-419
                10.21037/cdt-24-146
                11223937
                ca478147-9426-4e15-9ef0-f9ff5c1e6943
                2024 Cardiovascular Diagnosis and Therapy. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 01 April 2024
                : 21 June 2024
                Funding
                Funded by: the Key Research and Development Program of the Ministry of Science and Technology
                Award ID: No. 2022YFC2010104
                Funded by: Beijing Nova Program
                Award ID: No. Z201100006820027
                Funded by: National Nonprofit Institute Research Grant for Institute of Basic Theory for Chinese Medicine, CACMS
                Award ID: No. YZ-202151
                Categories
                Original Article

                dyslipidemia,meta-analysis,chinese patent medicine (cpm),trial sequential analysis (tsa)

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