Department of Midwifery, Faculty of Midwifery, Social Determinations of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Department of Midwifery, Faculty of Midwifery, Alborz University of Medical Sciences, Karaj, Iran.
Syst Rev. 2019 Apr 2;8(1):80. doi: 10.1186/s13643-019-0989-5.
Age at the onset of menopause is the most important determinant of women's future health outcomes. While the basic mechanisms contributing to the onset of menopause are still not fully understood, age at menopause depends on a complex set of various factors. In this regard, the effects of diabetes (DM I/II) on the age at the onset of menopause have received little attention.
Electronic databases including PubMed/MEDLINE, Web of Science, Scopus, EMBASE, and Google Scholar will be searched for articles published during January 2000 to August 2018 and containing combinations of related MeSH terms, i.e., "age at menopause" and "diabetes." Additional studies will also be extracted from the reference lists of the selected papers, gray literature, and key journals in the field. A set of inclusion criteria will be defined, and all eligible observational studies will be included. Two reviewers will independently conduct the study selection, data extraction, and quality assessment of the selected studies. All cases of disagreement will be resolved through consensus. The methodological assessment of the primary studies will be performed based on the Newcastle-Ottawa Scale (NOS). In case of the availability of sufficient data, fixed or random effects models will be used to combine all data. Heterogeneity will be assessed by I statistic and chi-square test. Stata V.11.1 will be used for data analysis (CRD42017080789).
This systematic review will not raise any ethical issues. Journal publication and conference presentations will facilitate the wide dissemination of the findings to relevant clinicians and researchers.
绝经年龄是决定女性未来健康结果的最重要因素。虽然导致绝经的基本机制尚未完全了解,但绝经年龄取决于一系列复杂的各种因素。在这方面,糖尿病(I/II 型)对绝经年龄的影响尚未得到足够的重视。
将检索 2000 年 1 月至 2018 年 8 月期间发表的电子数据库,包括 PubMed/MEDLINE、Web of Science、Scopus、EMBASE 和 Google Scholar,并包含相关 MeSH 术语的组合,即“绝经年龄”和“糖尿病”。还将从选定论文的参考文献、灰色文献和该领域的主要期刊中提取其他研究。将定义一套纳入标准,并纳入所有合格的观察性研究。两名评审员将独立进行研究选择、数据提取和所选研究的质量评估。所有意见不一致的情况将通过协商解决。将根据纽卡斯尔-渥太华量表(NOS)对主要研究进行方法学评估。在有足够数据的情况下,将使用固定或随机效应模型对所有数据进行合并。通过 I 平方统计量和卡方检验评估异质性。Stata V.11.1 将用于数据分析(CRD42017080789)。
本系统评价不会引起任何伦理问题。期刊发表和会议演示将有助于将研究结果广泛传播给相关临床医生和研究人员。