Global and Regional Prevalence and Burden for Premenstrual Syndrome and Premenstrual Dysphoric Disorder: A study protocol for systematic review and meta-analysis

Background. Abuse in early life stages has been proposed as an etiological risk factor for developing menstrually-related mood disorders (MRMDs). Objetive. To evaluate whether there is a relation between the occurrence of physical and/or sexual violence in childhood and/or adolescence and the development of MRMDs in adulthood. Method. A systematic search was conducted in PubMed, Web of Science, and ScienceDirect, with the route (“Premenstrual Syndrome”[Mesh]) OR (“Premenstrual Dysphoric Disorder”[MeSH]) AND (“Violence”[Mesh]) / (“menstrually-related mood disorders” AND “abuse”). Fifty-four articles were initially reviewed and 32 were excluded based on the criteria. Twenty-two articles were thoroughly reviewed. Finally, five articles (publication years 2014, 2013, 2012, 2007, and 2003) were included in the systematic review and submitted to a meta-analysis. Results. Results indicate that having been exposed to physical and/or sexual violence in childhood and/or adolescence increases 1.99 times the risk of experiencing MRMDs in adulthood in comparison with women who did not experience that type of violence (odds ratio [OR] = 1.99; 95% confidence interval [1.58, 2.51]). Discussion and conclusion. The present work provides evidence that a woman who experienced violence through physical and/or sexual abuse during childhood and/or adolescence has a greater risk of developing MRMDs in adulthood.

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Prevalence of premenstrual syndrome and premenstrual dysphoric disorder in India: A systematic review and meta-analysis

Health Promotion Perspectives ◽

10.34172/hpp.2021.20 ◽

2021 ◽

Vol 11 (2) ◽

pp. 161-170

Author(s):

Abhijit Dutta ◽

Avinash Sharma

Keyword(s):

Systematic Review ◽

Premenstrual Syndrome ◽

Meta Analysis ◽

Group Living ◽

Premenstrual Dysphoric Disorder ◽

Reproductive Age ◽

Sensitivity Analyses ◽

Cochrane Library ◽

Related Factors ◽

Meta Analyses

Background: The burden and impact of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is not well characterised among Indian population. Therefore, we conducted this systematic review and meta-analysis to estimate the prevalence of PMS and PMDD among females of reproductive age group living in India. Methods: We searched PubMed, Cochrane Library, Scopus and IndMed for studies reporting the prevalence of PMS and/ or PMDD from any part of India, published from 2000 up to Aug 2020. We performed random-effects meta-analyses evaluated using I2 statistic, subgroup analyses, sensitivity analyses and assessed study quality. Estimated prevalence along with 95% confidence intervals (CIs) were reported for each outcome of interest. The quality of each study was evaluated using modified Newcastle Ottawa Scale (NOS). This review was conducted following the standard of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. The protocol was registered prospectively in PROSPERO (CRD42020199787). Results: Our search identified 524 citations in total, of which 25 studies (22 reported PMS, and 11 reported PMDD) with 8542 participants were finally included. The pooled prevalence of PMS and PMDD were 43% (95% CI: 0.35-0.50) and 8% (95% CI: 0.60-0.10) respectively. The estimated prevalence of PMS in adolescence was higher and account to be 49.6% (95% CI: 0.40-0.59). The heterogeneity for all the estimates was very high and could be explained through several factors involved within and between studies. Conclusion: This study identified a substantially high prevalence of PMS and PMDD in India. To identify potentially related factors, more focused epidemiological research is warranted. However, noticing the fact of significant prevalence and its potential impact on the population, stakeholders and policymakers need to address this problem at the community and individual level.

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Systematic review protocol to assess artificial intelligence diagnostic accuracy performance in detecting acute ischaemic stroke and large-vessel occlusions on CT and MR medical imaging

BMJ Open ◽

10.1136/bmjopen-2020-043665 ◽

2021 ◽

Vol 11 (3) ◽

pp. e043665

Author(s):

Srinivasa Rao Kundeti ◽

Manikanda Krishnan Vaidyanathan ◽

Bharath Shivashankar ◽

Sankar Prasad Gorthi

Keyword(s):

Artificial Intelligence ◽

Systematic Review ◽

Diagnostic Accuracy ◽

Ischaemic Stroke ◽

Study Protocol ◽

Systematic Reviews ◽

Acute Ischaemic Stroke ◽

Meta Analysis ◽

Large Vessel ◽

Sufficient Data

IntroductionThe use of artificial intelligence (AI) to support the diagnosis of acute ischaemic stroke (AIS) could improve patient outcomes and facilitate accurate tissue and vessel assessment. However, the evidence in published AI studies is inadequate and difficult to interpret which reduces the accountability of the diagnostic results in clinical settings. This study protocol describes a rigorous systematic review of the accuracy of AI in the diagnosis of AIS and detection of large-vessel occlusions (LVOs).Methods and analysisWe will perform a systematic review and meta-analysis of the performance of AI models for diagnosing AIS and detecting LVOs. We will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocols guidelines. Literature searches will be conducted in eight databases. For data screening and extraction, two reviewers will use a modified Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. We will assess the included studies using the Quality Assessment of Diagnostic Accuracy Studies guidelines. We will conduct a meta-analysis if sufficient data are available. We will use hierarchical summary receiver operating characteristic curves to estimate the summary operating points, including the pooled sensitivity and specificity, with 95% CIs, if pooling is appropriate. Furthermore, if sufficient data are available, we will use Grading of Recommendations, Assessment, Development and Evaluations profiler software to summarise the main findings of the systematic review, as a summary of results.Ethics and disseminationThere are no ethical considerations associated with this study protocol, as the systematic review focuses on the examination of secondary data. The systematic review results will be used to report on the accuracy, completeness and standard procedures of the included studies. We will disseminate our findings by publishing our analysis in a peer-reviewed journal and, if required, we will communicate with the stakeholders of the studies and bibliographic databases.PROSPERO registration numberCRD42020179652.

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Predictive Performance of Serum S100B Versus LDH in Melanoma Patients: A Systematic Review and Meta-Analysis

Frontiers in Oncology ◽

10.3389/fonc.2021.772165 ◽

2021 ◽

Vol 11 ◽

Author(s):

Eszter Anna Janka ◽

Tünde Várvölgyi ◽

Zoltán Sipos ◽

Alexandra Soós ◽

Péter Hegyi ◽

...

Keyword(s):

Systematic Review ◽

Study Protocol ◽

Systematic Reviews ◽

Meta Analysis ◽

Elevated Serum ◽

Predictive Performance ◽

Discriminative Ability ◽

Serum S100b ◽

Risk Of Death ◽

Melanoma Patients

BackgroundCurrently, no consensus on the use of blood tests for monitoring disease recurrence in patients with resected melanoma exists. The only meta-analysis conducted in 2008 found that elevated serum S100B levels were associated with significantly worse survival in melanoma patients. Serum LDH is an established prognostic factor in patients with advanced melanoma.ObjectiveTo compare the discriminative and prognostic ability of serum S100B with that of serum LDH in patients with melanoma.MethodsThis systematic review and meta-analysis were reported in accordance with the PRISMA Statement. The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019137138).ResultsA quantitative analysis of data from 6 eligible studies included 1,033 patients with cutaneous melanoma. The discriminative ability of serum S100B at identifying disease relapse [pooled Area Under the ROC (AUROC) 78.64 (95% CI 70.28; 87.01)] was significantly greater than the discriminative ability of serum LDH [AUROC 64.41 (95% CI 56.05; 7278)] (p=0.013). Ten eligible studies with 1,987 patients were included in the risk of death analysis. The prognostic performance of serum S100B [pooled estimate of adjusted hazard ratio (HR) 1.78 (95% CI 1.38; 2.29)] was independent but not superior to that of serum LDH [HR 1.60 (95% CI 1.36; 2.29)].LimitationsA relatively small number of articles were eligible and there was considerable heterogeneity across the included studies.ConclusionsSerum biomarkers may provide relevant information on melanoma patient status and should be further researched. Serum S100B is a valid marker for diagnosis of melanoma recurrence.Systematic Review RegistrationThe study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019137138).

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Trends in Research Related to Premenstrual Syndrome and Premenstrual Dysphoric Disorder: a Bibliometric Analysis

10.21203/rs.3.rs-17293/v1 ◽

2020 ◽

Author(s):

Mingzhou Gao ◽

Hui SUN ◽

Changlong ZHANG ◽

Dongmei GAO ◽

Mingqi QIAO

Keyword(s):

Systematic Review ◽

Menstrual Cycle ◽

Bibliometric Analysis ◽

Young Women ◽

Premenstrual Syndrome ◽

Premenstrual Dysphoric Disorder ◽

The United States ◽

Anxiety And Depression ◽

Publication Number ◽

Research Hotspots

Abstract Background The global incidence of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is increasing, with increasing suicide reports. However, the bibliometric analysis of global research on PMS and PMDD is rare. We aimed to evaluate the global scientific output of research on PMS and PMDD and to explore their research hotspots and frontiers from 1945 to 2018 using a bibliometric analysis methodology.Methods Articles with research on PMS and PMDD between 1945 and 2018 were retrieved from the Web of Science Core Collection (WoSCC). We used the bibliometric method, CiteSpace V and VOSviewer to analyze publication years, journals, countries, institutions, authors, research hotspots, and trends. We plotted the reference co-citation network, and we used keywords to analyze the research hot spots and trends.Results We identified 2,833 publications on PMS and PMDD research from 1945 to 2018, and the annual publication number increased with time, with fluctuations. Psychoneuroendocrinology published the highest number of articles. The United States ranked the highest among the countries with the most publications, and the leading institute was UNIV PENN. Keyword and reference analysis indicated that the menstrual cycle, depression and ovarian hormones were the research hotspots, whereas prevalence, systematic review, anxiety and depression and young women were the research frontiers.Conclusions We depicted overall research on PMS and PMDD by a bibliometric analysis methodology. Prevalence and impact in young women , systematic review evaluations of risk factors, and the association of anxiety and depression with menstrual cycle phases are the latest research frontiers that will pioneer the direction of research in the next few years.

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