3
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The efficacy of metformin and eenatide in polycystic ovary syndrome (PCOS) patients Translated title: La eficacia de metformina y exenatida en pacientes con síndrome de ovario poliquístico (SOP)

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract Introduction: Polycystic Ovary Syndrome (PCOS) is a hormonal disorder that affects 5-10% of women who are their reproductive age. This meta-analysis aims to evaluate the efficacy of metformin and exenatide, respectively, and to compare the efficacy of both drugs using Body Mass Index (BMI), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and testosterone level. Method: Scopus, Science Direct, Oxford Journal, Wiley Online Library, and Medline (through the PubMed search engine) were used in this study. Statistical analysis of the included studies was done using the RevMan 5.4 software. Results: There were 6 studies included in the analysis of the study. There was a significant reduction in BMI of PCOS patients with exenatide versus metformin (mean difference = 0.51; 95% confidence interval (CI)= 0.07, 0.96, I 2= 52%; p=0.02). There was also a significant reduction in the testosterone level of PCOS patients with exenatide versus metformin (mean difference = 0.15; 95% confidence interval (CI)= 0.07, 0.22, I 2= 0%; p=0.0002). There was no effect on the mean of LDL-C and of HDL-C when compared between metformin and exenatide This meta-analysis shows that exenatide is effective in reducing BMI and testosterone levels in PCOS patients. Conclusions: There were a significant reduction in BMI and testosterone levels of PCOS patients when exenatide was used as compared to metformin. However, there was no effect on the mean of the LDL-C and HDL-C levels of the PCOS patients.

          Translated abstract

          Resumen Introducción: El Síndrome del Ovario Poliquístico (SOP) es un trastorno hormonal que afecta al 5-10% de las mujeres que se encuentran en edad reproductiva. este metanálisis tiene como objetivo evaluar la eficacia de la metformina y la exenatida, respectivamente, y comparar la eficacia de ambos fármacos utilizando el Índice de Masa Corporal (IMC), el colesterol de lipoproteínas de baja densidad (LDL-C), el colesterol de lipoproteínas de alta densidad (HDL-C) y los niveles de testosterona. Método: En este estudio se consultaron Scopus, Science Direct, Oxford Journal, Wiley Online Library y Medline a través del motor de búsqueda PubMed. El análisis estadístico de los estudios incluidos se realizó mediante el software RevMan 5.4. Resultados: Hubo 6 estudios incluidos en el análisis del estudio. Hubo una reducción significativa en el IMC de las pacientes con SOP con exenatida frente a metformina (diferencia de medias = 0,51; intervalo de confianza (IC) del 95 % = 0,07; 0,96; I 2 = 52 %; p = 0,02). También hubo una reducción significativa en el nivel de testosterona de los pacientes con SOP con exenatida frente a metformina (diferencia de medias = 0,15; intervalo de confianza (IC) del 95 % = 0,07; 0,22;I 2 = 0 %; p = 0,0002). No hubo efecto sobre la media de LDL-C y de HDL-C cuando se comparó entre metformina y exenatida. Este muestra que la exenatida es eficaz para reducir el IMC y los niveles de testosterona en pacientes con SOP. Conclusiones: Hubo una reducción significativa en el IMC y los niveles de testosterona de los pacientes con SOP cuando se usó exenatida en comparación con metformina. Sin embargo, no hubo efecto sobre la media de los niveles de LDL-C y HDL-C de las pacientes con SOP.

          Related collections

          Most cited references83

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          SYRCLE’s risk of bias tool for animal studies

          Background Systematic Reviews (SRs) of experimental animal studies are not yet common practice, but awareness of the merits of conducting such SRs is steadily increasing. As animal intervention studies differ from randomized clinical trials (RCT) in many aspects, the methodology for SRs of clinical trials needs to be adapted and optimized for animal intervention studies. The Cochrane Collaboration developed a Risk of Bias (RoB) tool to establish consistency and avoid discrepancies in assessing the methodological quality of RCTs. A similar initiative is warranted in the field of animal experimentation. Methods We provide an RoB tool for animal intervention studies (SYRCLE’s RoB tool). This tool is based on the Cochrane RoB tool and has been adjusted for aspects of bias that play a specific role in animal intervention studies. To enhance transparency and applicability, we formulated signalling questions to facilitate judgment. Results The resulting RoB tool for animal studies contains 10 entries. These entries are related to selection bias, performance bias, detection bias, attrition bias, reporting bias and other biases. Half these items are in agreement with the items in the Cochrane RoB tool. Most of the variations between the two tools are due to differences in design between RCTs and animal studies. Shortcomings in, or unfamiliarity with, specific aspects of experimental design of animal studies compared to clinical studies also play a role. Conclusions SYRCLE’s RoB tool is an adapted version of the Cochrane RoB tool. Widespread adoption and implementation of this tool will facilitate and improve critical appraisal of evidence from animal studies. This may subsequently enhance the efficiency of translating animal research into clinical practice and increase awareness of the necessity of improving the methodological quality of animal studies.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            How sample size influences research outcomes

            Sample size calculation is part of the early stages of conducting an epidemiological, clinical or lab study. In preparing a scientific paper, there are ethical and methodological indications for its use. Two investigations conducted with the same methodology and achieving equivalent results, but different only in terms of sample size, may point the researcher in different directions when it comes to making clinical decisions. Therefore, ideally, samples should not be small and, contrary to what one might think, should not be excessive. The aim of this paper is to discuss in clinical language the main implications of the sample size when interpreting a study.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Meta-analysis in medical research.

              The objectives of this paper are to provide an introduction to meta-analysis and to discuss the rationale for this type of research and other general considerations. Methods used to produce a rigorous meta-analysis are highlighted and some aspects of presentation and interpretation of meta-analysis are discussed.Meta-analysis is a quantitative, formal, epidemiological study design used to systematically assess previous research studies to derive conclusions about that body of research. Outcomes from a meta-analysis may include a more precise estimate of the effect of treatment or risk factor for disease, or other outcomes, than any individual study contributing to the pooled analysis. The examination of variability or heterogeneity in study results is also a critical outcome. The benefits of meta-analysis include a consolidated and quantitative review of a large, and often complex, sometimes apparently conflicting, body of literature. The specification of the outcome and hypotheses that are tested is critical to the conduct of meta-analyses, as is a sensitive literature search. A failure to identify the majority of existing studies can lead to erroneous conclusions; however, there are methods of examining data to identify the potential for studies to be missing; for example, by the use of funnel plots. Rigorously conducted meta-analyses are useful tools in evidence-based medicine. The need to integrate findings from many studies ensures that meta-analytic research is desirable and the large body of research now generated makes the conduct of this research feasible.
                Bookmark

                Author and article information

                Journal
                ars
                Ars Pharmaceutica (Internet)
                Ars Pharm
                Universidad de Granada (Granada, Granada, Spain )
                2340-9894
                June 2023
                : 64
                : 2
                : 100-122
                Affiliations
                [3] Al Ain orgnameAl Ain University orgdiv1College of Pharmacy United Arab Emirates
                [2] Kuala Terengganu Terengganu orgnameUniversiti Malaysia Terengganu orgdiv1Institute of Marine Biotechnology Malaysia
                [1] Serdang Selangor orgnameUniversity Putra Malaysia orgdiv1Faculty of Medicine and Health Sciences orgdiv2Department of Biomedical Science Malaysia
                Article
                S2340-98942023000200003 S2340-9894(23)06400200003
                10.30827/ars.v64i2.27302
                78cb18ad-a989-4c5f-bbc1-bbde7f47417f

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

                History
                : 01 February 2023
                : 02 March 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 83, Pages: 23
                Product

                SciELO Spain

                Categories
                Original Articles

                Polycystic Ovary Syndrome,Meta-analysis,Metformin,Exenatide,Síndrome del Ovario Poliquístico,Metaanálisis,Metformina,Exenatida

                Comments

                Comment on this article