Quality and fragility of meta-analyses assessing the efficacy and safety of Ginkgo biloba preparation: protocol for a methodological study
Study Protocol

Quality and fragility of meta-analyses assessing the efficacy and safety of Ginkgo biloba preparation: protocol for a methodological study

Qiang Zhang#, Cuncun Lu#, Meng Qiao, Chao Lei, Yanming Xie, Zhifei Wang

Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China

Contributions: (I) Conception and design: Q Zhang, C Lu, Z Wang; (II) Administrative support: None; (III) Provision of study materials or patients: M Qiao, C Lei; (IV) Collection and assembly of data: Q Zhang, C Lu; (V) Data analysis and interpretation: Q Zhang, Y Xie, C Lu, Z Wang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Yanming Xie; Zhifei Wang. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China. Email: ktzu2018@163.com; wzhftcm@163.com.

Background: Ginkgo biloba L. (GB) is an ancient plant with high medicinal value. GB preparations are widely used to treat diseases such as angina pectoris, ischemic stroke, and dementia. Many meta-analyses of GB preparations for these diseases have recently been published. However, the methodological and reporting quality of relevant meta-analyses have not been systematically evaluated and reported to date. Therefore, the present methodological study was designed to fill this knowledge gap.

Methods: PubMed, Embase, CNKI, WanFang, and the Chinese Biomedical Literature Database will be comprehensively searched from inception to June 2022. Meta-analyses on the efficacy and safety of GB preparations for humans with health conditions will be included. Two researchers will independently screen the literature, extract the data, and evaluate the methodological and reporting quality through AMSTAR-2 and PRISMA 2020. Spearman correlation coefficient will be used to evaluate the correlation between methodological and reporting quality. Five factors potentially affecting the methodological quality will be evaluated through univariate and multivariate linear analyses. The fragility index of statistically significant binary outcomes will be calculated to assess the robustness of pooled results. Stata 16.0 and Excel 2016 will be utilized to conduct the statistical analysis, and P<0.05 will be considered statistically significant.

Discussion: This is the first research to thoroughly investigate the methodological and reporting quality of GB preparations for health conditions. The results of this investigation will improve the quality of future studies and clinical decision-making.

Keywords: Gingko; meta-analyses; AMSTAR-2; PRISMA 2020; fragility index


Submitted Jun 30, 2022. Accepted for publication Sep 09, 2022.

doi: 10.21037/apm-22-795


Introduction

Ginkgo biloba L. (GB) is an ancient plant with several parts (e.g., leaves and fruits) containing multiple active substances (e.g., biflavonoids and ginkgolides) with high medicinal value (1,2). According to the “Chinese Pharmacopoeia 2020 edition” (3), dried ginkgo seeds and leaves both have the functions of astringing the lung and relieving dyspnea; while seeds can improve leukorrhea and reduce polyuria, and leaves can activate blood and resolve stasis, dredge collaterals, relieve pain, eliminate turbidity, and lower the blood lipid level. Relevant research (2) indicated that the health effects of ginkgo are primarily associated with metabolites such as flavonoids and terpenoids. Ginkgolides belong to terpenoid derivatives and are active ingredients in GB leaves. Based on the differences in molecular structure of the active ingredients, there are several different ginkgolides in GB (4). Evidence showed that biflavonoids and ginkgolides have many biological activities such as anti-inflammatory, anti-allergic, antioxidant, anti-cancer, and neuroprotective activities (2,5). The extracts from GB have been converted to drugs, such as ginkgo lactone injection, ginkgolide injection, and ginkgo leaf dropping pills (4). These are now widely used for treating numerous clinical conditions, such as angina pectoris (6), ischemic stroke (4,7), and dementia (8,9).

With the rapid popularization of evidence-based medicine, systematic reviews and meta-analyses play a critical role in medical decision-making and guiding future research (10). Numerous meta-analyses (4,6-8,11) evaluating the clinical efficacy and safety of GB preparations have been published in recent years. For instance, in 2022, Zhao et al. (4) published a meta-analysis focusing on the clinical effects of ginkgo terpene lactone preparations against ischemic stroke. The quality of conduct and reporting of meta-analyses has been recognized to affect the reliability and clinical usability of pooled results (10,12,13). However, the methodological and reporting quality of the meta-analyses on GB preparations has not been comprehensively assessed to date. Therefore, in the present study, the methodological and reporting quality of eligible meta-analyses regarding the effects of GB preparations for clinical conditions will be assessed. The “A Measurement Tool to Assess Systematic Reviews 2” (AMSTAR-2) tool (14) and the “Preferred Reporting Items for Systematic reviews and Meta-Analyses” (PRISMA 2020) statement (15) will be used, respectively. The correlation between the methodological and reporting quality, as well as the factors affecting the methodological quality will be assessed. Moreover, the fragility index (FI) will be utilized to evaluate the robustness of statistically significant binary outcomes (16,17). We present the following article in accordance with the PRISMA-P reporting checklist (available at https://apm.amegroups.com/article/view/10.21037/apm-22-795/rc) (18).


Methods

Study design

The methodological study will investigate the quality of conduct and reporting of meta-analyses on GB preparations. The study has been registered on the INPLASY website (registration number: INPLASY202260092). The details and reasons for any changes will be reported in the final full text for deviations from this protocol. Ethical approval and informed consent were not required because this study was an overview of published literature.

Search strategy

An extensive literature search will be performed in PubMed, Embase, CNKI, WanFang, and the Chinese Biomedical Literature Database from the inception to June 2022. In this study, Medical Subject Heading terms and keywords will be used to establish retrieval strategies. The primary search terms included will be “ginkgo biloba”, “gingko”, “ginkgo biloba extract”, “systematic reviews as topic”, “systematic review”, “meta-analysis as topic”, and “meta-analysis”. No other language or publication type restrictions will be imposed. In addition, the reference list of selected meta-analyses will be manually checked to retrieve potentially eligible studies. The preliminary search strategies are presented in detail in Appendix 1.

Study selection

Studies meeting the following criteria will be included: (I) type of study: meta-analyses of GB preparations and published in either English or Chinese peer-reviewed journals; a meta-analysis is defined as in our previous studies (10,12); (II) subjects: humans suffering from any disease (e.g., angina pectoris, ischemic stroke, and dementia), and treated using any GB preparations; (III) interventions: a control group treated with placebo or conventional therapy, and an interventional group treated with any GB preparations (e.g., ginkgolide injection, ginkgo leaf dropping pills, etc.) alone or in combination with the same treatments as the control group; (IV) outcome: any outcome regarding efficacy and safety will be considered. We will exclude duplicate publications or inaccessible full texts, as well as protocols, narratives, or qualitative systematic reviews, letters, conference abstracts, network meta-analyses, and individual participant data meta-analyses.

The literature obtained through database search will be imported into EndNote (X9, Clarivate Analytics) software for screening. To exclude irrelevant records, two independent reviewers will conduct the literature selection by reading titles and abstracts. The full text of the remaining papers will be assessed to determine the final eligibility. Any disagreement will be resolved by consulting a third reviewer.

Quality assessment

Two trained reviewers will use AMSTAR-2 and PRISMA 2020 to evaluate the methodological and reporting quality of included meta-analyses. Any conflict will be resolved through discussion. AMSTAR-2 consists of 16 items, where items 2, 4, 7, 9, 11, 13, and 15 are critical items. AMSTAR-2 provides three answers to the question of the items for a meta-analysis, including “Yes”, “Partial Yes” and “No.” Based on existing methodological weaknesses in each meta-analysis, the overall methodological quality can be evaluated as high, moderate, low, or critically low.

PRISMA 2020, an updated version of PRISMA 2009, is a reporting checklist for systematic reviews and meta-analyses (19). It consists of seven sections with a total of 42 sub-items. PRISMA was initially developed to improve the reporting of systematic reviews and meta-analyses (19). However, it has been widely employed to evaluate the reporting quality of published systematic reviews or meta-analyses. In the current study, “Yes” and “No” will be used to assess whether the included meta-analyses satisfy the reporting requirements for each item. In order to facilitate the statistical analysis, 1, 0.5, and 0 scores will be assigned to “Yes”, “Partial Yes” and “No”, respectively, in AMSTAR-2 and without “Partial Yes” in PRISMA 2020.

Data extraction

Two independent investigators will extract data from each meta-analysis using a predesigned data extraction form. Any disagreement will be discussed and solved by consensus. Extracted data will include the following parameters: title, first author, number of authors, disease, language, year of publication, registration information, country, PRISMA tool used, journal name, journal impact factor, number of pages, intervention and control description, database searched, searching timeframe, total sample size, study design of original studies, number of original studies, quality assessment tool, and funding information.

Statistical analysis

Compliance rate of AMSTAR-2 or PRISMA2020 will be determined through the number and percentage of “Yes”, “Partial Yes”, or “No.” Moreover, a total quality score for each meta-analysis will be calculated. The relationship between methodological and reporting quality will be assessed using the Spearman correlation coefficient based on the total score of each meta-analysis. In addition, univariate and multivariate linear analyses will be utilized to assess whether the five predefined factors (i.e., year of publication, number of authors, number of pages, registration, and PRISMA used) would affect the methodological quality. The quality assessment results presented with a bubble chart. This chart will consist of two axes and some bubbles. The x-axis will be divided into four sections representing the results of AMSTAR-2 (“high”, “moderate”, “low”, and “critically low”) for each article. The y-axis will describe the total score based on PRISMA 2020 for each meta-analysis. Each bubble will represent a meta-analysis article, the size of the bubbles will reflect the total number of participants included in each meta-analysis, and the color of the bubbles will represent the year of publication. Moreover, the FI of each statistically significant binary outcome will be utilized to assess the robustness of the pooled data, where a larger FI represents a more robust estimate (20). Data analysis will be performed with Stata 16.0 (StataCorp, College Station, TX, USA) and Excel 2016 (Microsoft Corporation, WA, USA) software. Two-sided P<0.05 will be considered statistically significant.


Discussion

GB is a plant with high medicinal value and various pharmacological activities, including anti-inflammatory, anti-allergic, antioxidant, and neuroprotective activities. GB preparations have been used against cardiovascular and nervous system disorders (21), and other conditions, such as symptoms of influenza and COVID-19 infection (22,23). Generally, meta-analyses are regarded as the most substantial in the hierarchy pyramid of evidence (24), but the quality of meta-analyses in certain clinical areas is suboptimal (25-28). Many meta-analyses of GB preparations have been conducted to assess the efficacy and safety of GB preparations under various conditions. The methodological and reporting quality of these meta-analyses has not yet been thoroughly evaluated and reported. Therefore, the present study aspires to fill this gap.

To the best of our knowledge, this review will be the first to assess the methodological and reporting quality of meta-analyses concerning GB preparations using AMSTAR-2 and PRISMA 2020. In addition, the correlation between methodological and reporting quality will be identified, and the potential factors affecting the methodological quality will be explored. Further, the robustness of pooled results for each binary outcome will be assessed via the FI, which is defined as the minimum number of patients with an event-status modification that can change a statistically significant result to a nonsignificant pooled effect (20). However, this study will have certain limitations. First, the scores assigned to answers may not indicate the actual quality. Therefore, the number will be provided with a percentage for each answer to help readers fully understand the quality assessment results. Second, the judgment regarding the research quality will only be based on the included publications and supplementary materials (29,30). Differences could emerge between what was reported and what was conducted by the authors; therefore, the results of methodological quality may be biased. In summary, the final results of this methodological study of meta-analyses on GB preparations will help to improve the quality of relevant future studies and clinical decision-making.


Acknowledgments

The authors would like to thank MogoEdit (https://www.mogoedit.com) for its English editing during the preparation of this manuscript.

Funding: The present study was supported by CACMS Innovation Fund (No. CI2021A00702).


Footnote

Reporting Checklist: The authors have completed the PRISMA-P reporting checklist. Available at https://apm.amegroups.com/article/view/10.21037/apm-22-795/rc

Peer Review File: Available at https://apm.amegroups.com/article/view/10.21037/apm-22-795/prf

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://apm.amegroups.com/article/view/10.21037/apm-22-795/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study has been registered on the INPLASY website (registration number: INPLASY202260092). Ethical approval and informed consent were not required because this study was an overview of published literature.

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/.


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Cite this article as: Zhang Q, Lu C, Qiao M, Lei C, Xie Y, Wang Z. Quality and fragility of meta-analyses assessing the efficacy and safety of Ginkgo biloba preparation: protocol for a methodological study. Ann Palliat Med 2022;11(10):3315-3319. doi: 10.21037/apm-22-795

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