Systematic review, 2022
How common are PMS and PMDD worldwide?
This is a research plan, not completed results. Once finished, it will estimate how common PMS and PMDD are globally and identify risk factors, but results are not yet available.
What they did
This is a planned systematic review and meta-analysis. Will search 8 databases for studies on PMS/PMDD prevalence published 2011-2021. Two independent reviewers will evaluate studies. Random-effect models will pool results and meta-regression will examine differences by study characteristics.
What they found
No results yet. This is a protocol describing what the researchers plan to do, not completed research with findings.
What it means for you
Once completed, this study will provide high-quality information on how common PMS and PMDD are across different regions of the world and identify risk factors for these conditions. However, the actual findings have not yet been published.
8
databases to be searched
2011-2021
publication years included
About the study
- Original title
- Global and regional prevalence and burden for premenstrual syndrome and premenstrual dysphoric disorder: A study protocol for systematic review and meta-analysis
- Authors
- Gao M, Zhang H, Gao Z et al.
- Journal
- Medicine
- Year
- 2022
- Study design
- Systematic review
- What was tested
- None, study protocol
- Open access
- Yes
- Read the paper
- doi.org/10.1097/md.0000000000028528
Original abstract
Introduction: Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) are becoming common mental diseases in women impairing daily functioning. Estimation of the epidemiological burden of PMS/PMDD can serve as scientific basis for prevention and management of premenstrual disorders. Herein, we firstly provide a protocol to perform estimation on the prevalence and risk factors for PMS/PMDD in the general population globally and regionally. Methods/design: The PubMed, Web of Science, Chinese National Knowledge Infrastructure, the Cochrane Central Register of Controlled Trials (Cochrane Library), Chinese VIP Information, EMBASE, Wanfang Database, as well as the Chinese Biomedical Literature Database will be queried to find related studies containing information on the prevalence of PMDD (2011-2021). Two independent reviewers will comb the literature and abstract the data characteristics. Disparities will be reconciled via consents. The primary outcome will be the global prevalence. The random-effect model will be employed to pool the assessments. The standard χ2 tests, as well as the I2 statistic will be used to determine heterogeneity. Furthermore, the meta-regression analysis will be employed to estimate the differences in study-level characteristics. All the statistical analyses will be carried out in the software Stata v 15.0 (Stata Corporation, College Station, TX), as well as the R (v R 3.5.1, R Foundation for Statistical Computing, Vienna, Austria) software. Discussion: Based on existing evidence, our study will offer a high-quality synthesis for global and regional prevalence, burden, and risk factors of PMS/PMDD. Effective strategies will be made for prevention and management of epidemiological burden on the PMS/PMDD, even premenstrual disorders. Ethics and dissemination: This study does not involve the specific patients, and all research data comes from publicly available professional literature, so an ethics committee is not required to conduct an ethical review and approval of the study. Inplasy registration number: INPLASY2021120065.
Reproduced under CC-BY.
Topics
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